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SSIO checkpoints: 30 paper models in <dataset>/<recipe>/
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- .gitattributes +35 -0
- README.md +101 -0
- blackbird/airio/.hydra/config.yaml +1546 -0
- blackbird/airio/.hydra/hydra.yaml +173 -0
- blackbird/airio/.hydra/overrides.yaml +8 -0
- blackbird/airio/best_model.pt +3 -0
- blackbird/airio_full/.hydra/config.yaml +1549 -0
- blackbird/airio_full/.hydra/hydra.yaml +173 -0
- blackbird/airio_full/.hydra/overrides.yaml +8 -0
- blackbird/airio_full/best_model.pt +3 -0
- blackbird/ssio/.hydra/config.yaml +1543 -0
- blackbird/ssio/.hydra/hydra.yaml +174 -0
- blackbird/ssio/.hydra/overrides.yaml +9 -0
- blackbird/ssio/best_model.pt +3 -0
- blackbird/ssio_pgd/.hydra/config.yaml +1543 -0
- blackbird/ssio_pgd/.hydra/hydra.yaml +181 -0
- blackbird/ssio_pgd/.hydra/overrides.yaml +15 -0
- blackbird/ssio_pgd/best_model.pt +3 -0
- calibration/grand_tour/anymal_imu_gt_offsets_per_imu.json +2036 -0
- euroc/airio/.hydra/config.yaml +419 -0
- euroc/airio/.hydra/hydra.yaml +178 -0
- euroc/airio/.hydra/overrides.yaml +13 -0
- euroc/airio/best_model.pt +3 -0
- euroc/airio_full/.hydra/config.yaml +422 -0
- euroc/airio_full/.hydra/hydra.yaml +178 -0
- euroc/airio_full/.hydra/overrides.yaml +13 -0
- euroc/airio_full/best_model.pt +3 -0
- euroc/ssio/.hydra/config.yaml +416 -0
- euroc/ssio/.hydra/hydra.yaml +179 -0
- euroc/ssio/.hydra/overrides.yaml +14 -0
- euroc/ssio/best_model.pt +3 -0
- euroc/ssio_pgd/.hydra/config.yaml +416 -0
- euroc/ssio_pgd/.hydra/hydra.yaml +181 -0
- euroc/ssio_pgd/.hydra/overrides.yaml +15 -0
- euroc/ssio_pgd/best_model.pt +3 -0
- grandtour/airio/.hydra/config.yaml +987 -0
- grandtour/airio/.hydra/hydra.yaml +175 -0
- grandtour/airio/.hydra/overrides.yaml +10 -0
- grandtour/airio/best_model.pt +3 -0
- grandtour/airio_full/.hydra/config.yaml +990 -0
- grandtour/airio_full/.hydra/hydra.yaml +175 -0
- grandtour/airio_full/.hydra/overrides.yaml +10 -0
- grandtour/airio_full/best_model.pt +3 -0
- grandtour/airio_proprio/.hydra/config.yaml +996 -0
- grandtour/airio_proprio/.hydra/hydra.yaml +175 -0
- grandtour/airio_proprio/.hydra/overrides.yaml +10 -0
- grandtour/airio_proprio/best_model.pt +3 -0
- grandtour/ssio/.hydra/config.yaml +986 -0
- grandtour/ssio/.hydra/hydra.yaml +181 -0
- grandtour/ssio/.hydra/overrides.yaml +16 -0
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README.md
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---
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license: other
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library_name: pytorch
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pipeline_tag: robotics
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tags:
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- robotics
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- imu
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- inertial-odometry
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- self-supervised-learning
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- legged-robots
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- humanoid
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- quadruped
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- drone
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datasets:
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- Open-IO/humanoid-g1-odometry
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- Open-IO/mipo-go1-odometry
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---
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# SSIO: Self-Supervised Inertial Odometry — Checkpoints
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[Paper](https://arxiv.org/abs/2610.25988) | [Project Page](https://ssio-imu.github.io) | [Code](https://github.com/amazon-far/SSIO) | [Collection](https://huggingface.co/collections/Open-IO/ssio-self-supervised-inertial-odometry-6ad670b4bf71f392cd23d1c8)
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Every model in the tables of **[SSIO](https://ssio-imu.github.io)**, which trains inertial
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odometry from a robot's own unlabeled IMU stream, with no velocity or position labels.
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SSIO trains in two steps: **Integration Self-Supervision**, where the network learns
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body-frame velocity from an IMU integration teacher on short windows ("Ours"), and optional
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**Pose Graph Distillation**, which fine-tunes it on sequence-consistent velocities from a
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pose graph ("Ours (w/ PGD)"). The supervised AirIO baselines are released alongside.
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## Checkpoints
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One directory per table cell, `<dataset>/<recipe>/`, named after the recipe in
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[`Config/experiment/<dataset>/<recipe>.yaml`](https://github.com/amazon-far/SSIO/tree/main/Config/experiment)
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that retrains it (`airio_full` is the `airio` recipe with `network=airio`). Scores are the released checkpoint's AVE (m/s) / ATE (m)
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on the test split. AirIO and AirIO† are supervised; the other columns are self-supervised.
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*Proprio* adds joint states (and, on MIPO, the four calf-mounted IMUs) to the network input.
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| Dataset | Test split | AirIO | AirIO† | Ours | Ours (w/ PGD) | AirIO† + *Proprio* | Ours + *Proprio* |
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|---|---|---|---|---|---|---|---|
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| TLIO | `TLIO_Test` | [`tlio/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/tlio/airio_full) 0.081 / 1.89 | [`tlio/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/tlio/airio) 0.084 / 2.08 | [`tlio/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/tlio/ssio) 0.104 / 3.04 | [`tlio/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/tlio/ssio_pgd) 0.101 / 2.99 | – | – |
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| EuRoC | `EuRoC_Test` | [`euroc/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/euroc/airio_full) 0.335 / 3.72 | [`euroc/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/euroc/airio) 0.344 / 3.72 | [`euroc/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/euroc/ssio) 0.423 / 9.03 | [`euroc/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/euroc/ssio_pgd) 0.403 / 9.93 | – | – |
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| Blackbird | `BlackBird_Test` | [`blackbird/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/blackbird/airio_full) 0.318 / 6.10 | [`blackbird/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/blackbird/airio) 0.362 / 6.39 | [`blackbird/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/blackbird/ssio) 0.475 / 18.39 | [`blackbird/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/blackbird/ssio_pgd) 0.429 / 17.73 | – | – |
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| MIPO (Go1) | `MIPO_Test` | [`mipo/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/airio_full) 0.120 / 0.31 | [`mipo/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/airio) 0.121 / 0.31 | [`mipo/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/ssio) 0.182 / 1.63 | [`mipo/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/ssio_pgd) 0.169 / 1.58 | [`mipo/airio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/airio_proprio) 0.116 / 0.19 | [`mipo/ssio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/mipo/ssio_proprio) 0.146 / 0.82 |
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| GrandTour (ANYmal) | `ANYmal_Test` | [`grandtour/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/airio_full) 0.068 / 3.19 | [`grandtour/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/airio) 0.070 / 3.38 | [`grandtour/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/ssio) 0.096 / 4.37 | [`grandtour/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/ssio_pgd) 0.096 / 4.37 | [`grandtour/airio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/airio_proprio) 0.073 / 3.62 | [`grandtour/ssio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/grandtour/ssio_proprio) 0.091 / 3.66 |
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| Humanoid (G1) | `HumanoidOdom_Test` (*Proprio*: `HumanoidOdom_Joints_Test`) | [`humanoid/airio_full`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/airio_full) 0.087 / 1.26 | [`humanoid/airio`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/airio) 0.096 / 1.40 | [`humanoid/ssio`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/ssio) 0.167 / 4.36 | [`humanoid/ssio_pgd`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/ssio_pgd) 0.155 / 4.38 | [`humanoid/airio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/airio_proprio) 0.095 / 2.35 | [`humanoid/ssio_proprio`](https://huggingface.co/Open-IO/SSIO/tree/main/humanoid/ssio_proprio) 0.161 / 3.20 |
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The released "Ours (w/ PGD)" checkpoints do not match the paper's PGD row exactly;
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[`Doc/recipes.md`](https://github.com/amazon-far/SSIO/blob/main/Doc/recipes.md) lists the
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paper and checkpoint scores side by side, with the recipe that retrains each run.
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## Repository Layout
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```
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<dataset>/ tlio, euroc, blackbird, mipo, grandtour, humanoid
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├── airio_full/ AirIO (train_ssio.py, supervised)
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├── airio/ AirIO† (train_ssio.py, supervised)
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├── ssio/ Ours (train_ssio.py)
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├── ssio_pgd/ Ours (w/ PGD) (train_pgd.py, warm-started from ssio/)
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├── airio_proprio/ AirIO† + Proprio (mipo, grandtour, humanoid)
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└── ssio_proprio/ Ours + Proprio (mipo, grandtour, humanoid)
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calibration/grand_tour/anymal_imu_gt_offsets_per_imu.json
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```
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Each directory holds `best_model.pt`, a bare PyTorch `state_dict` selected on the lowest
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validation loss (no labels), and the training run's Hydra config in `.hydra/`. The GrandTour
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calibration file holds the per-IMU IMU-to-ground-truth time offsets the GrandTour runs were
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trained with; it is not part of the GrandTour release.
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## Quick Usage
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With the [SSIO code](https://github.com/amazon-far/SSIO) installed and the datasets under
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`$DATA_ROOT`:
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```bash
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hf download Open-IO/SSIO --include "euroc/ssio/*" --local-dir ckpts
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python evaluate.py ckpts/euroc/ssio --checkpoint best_model.pt --data Config/dataset/EuRoC_Test.yaml
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```
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Always pass `--checkpoint best_model.pt` and `--data`: the released runs ship no
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`checkpoint_*.pt` and store their splits under `val_dataset` / `test_dataset`. To fine-tune a released "Ours" run with Pose Graph Distillation:
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```bash
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python train_pgd.py +experiment=euroc/ssio_pgd train.resume_from=file:ckpts/euroc/ssio/best_model.pt
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```
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The evaluator reports AVE (average velocity error, m/s, the primary metric), ATE (RMSE of
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the position error, m), Δv error, and RVTE / nRVTE.
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## Citation
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```bibtex
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@misc{qiu2026ssioselfsupervisedinertialodometry,
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title={SSIO: Self-Supervised Inertial Odometry},
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author={Yuheng Qiu and Yutian Chen and Carlton Cort and Weison Huang and Shibo Zhao and Pieter Abbeel and Rocky Duan and Koushil Sreenath and C. Karen Liu and Carmelo Sferrazza and Junyi Geng and Sebastian Scherer and Guanya Shi},
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year={2026},
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eprint={2610.25988},
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archivePrefix={arXiv},
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primaryClass={cs.RO},
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url={https://arxiv.org/abs/2610.25988},
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}
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```
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|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
gravity: 9.81007
|
| 15 |
+
debias: true
|
| 16 |
+
calibrater:
|
| 17 |
+
kind: imu
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
gravity: 9.81007
|
| 31 |
+
debias: true
|
| 32 |
+
calibrater:
|
| 33 |
+
kind: imu
|
| 34 |
+
seq_name: sid/yawForward/maxSpeed4p0
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
gravity: 9.81007
|
| 47 |
+
debias: true
|
| 48 |
+
calibrater:
|
| 49 |
+
kind: imu
|
| 50 |
+
seq_name: bentDice/yawForward/maxSpeed0p5
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
gravity: 9.81007
|
| 63 |
+
debias: true
|
| 64 |
+
calibrater:
|
| 65 |
+
kind: imu
|
| 66 |
+
seq_name: thrice/yawForward/maxSpeed1p0
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
gravity: 9.81007
|
| 79 |
+
debias: true
|
| 80 |
+
calibrater:
|
| 81 |
+
kind: imu
|
| 82 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed0p5
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
gravity: 9.81007
|
| 95 |
+
debias: true
|
| 96 |
+
calibrater:
|
| 97 |
+
kind: imu
|
| 98 |
+
seq_name: ampersand/yawForward/maxSpeed2p0
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
gravity: 9.81007
|
| 111 |
+
debias: true
|
| 112 |
+
calibrater:
|
| 113 |
+
kind: imu
|
| 114 |
+
seq_name: clover/yawForward/maxSpeed3p0
|
| 115 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 116 |
+
config:
|
| 117 |
+
window_size: ${train.window}
|
| 118 |
+
seq:
|
| 119 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 120 |
+
config:
|
| 121 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 122 |
+
device: ${meta.device}
|
| 123 |
+
dtype: ${meta.dtype}
|
| 124 |
+
acc_sigma: 0.01
|
| 125 |
+
gyro_sigma: 0.01
|
| 126 |
+
gravity: 9.81007
|
| 127 |
+
debias: true
|
| 128 |
+
calibrater:
|
| 129 |
+
kind: imu
|
| 130 |
+
seq_name: ampersand/yawForward/maxSpeed1p0
|
| 131 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 132 |
+
config:
|
| 133 |
+
window_size: ${train.window}
|
| 134 |
+
seq:
|
| 135 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 136 |
+
config:
|
| 137 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 138 |
+
device: ${meta.device}
|
| 139 |
+
dtype: ${meta.dtype}
|
| 140 |
+
acc_sigma: 0.01
|
| 141 |
+
gyro_sigma: 0.01
|
| 142 |
+
gravity: 9.81007
|
| 143 |
+
debias: true
|
| 144 |
+
calibrater:
|
| 145 |
+
kind: imu
|
| 146 |
+
seq_name: winter/yawForward/maxSpeed3p0
|
| 147 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 148 |
+
config:
|
| 149 |
+
window_size: ${train.window}
|
| 150 |
+
seq:
|
| 151 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 152 |
+
config:
|
| 153 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 154 |
+
device: ${meta.device}
|
| 155 |
+
dtype: ${meta.dtype}
|
| 156 |
+
acc_sigma: 0.01
|
| 157 |
+
gyro_sigma: 0.01
|
| 158 |
+
gravity: 9.81007
|
| 159 |
+
debias: true
|
| 160 |
+
calibrater:
|
| 161 |
+
kind: imu
|
| 162 |
+
seq_name: patrick/yawForward/maxSpeed4p0
|
| 163 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 164 |
+
config:
|
| 165 |
+
window_size: ${train.window}
|
| 166 |
+
seq:
|
| 167 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 168 |
+
config:
|
| 169 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 170 |
+
device: ${meta.device}
|
| 171 |
+
dtype: ${meta.dtype}
|
| 172 |
+
acc_sigma: 0.01
|
| 173 |
+
gyro_sigma: 0.01
|
| 174 |
+
gravity: 9.81007
|
| 175 |
+
debias: true
|
| 176 |
+
calibrater:
|
| 177 |
+
kind: imu
|
| 178 |
+
seq_name: mouse/yawForward/maxSpeed5p0
|
| 179 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 180 |
+
config:
|
| 181 |
+
window_size: ${train.window}
|
| 182 |
+
seq:
|
| 183 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 184 |
+
config:
|
| 185 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 186 |
+
device: ${meta.device}
|
| 187 |
+
dtype: ${meta.dtype}
|
| 188 |
+
acc_sigma: 0.01
|
| 189 |
+
gyro_sigma: 0.01
|
| 190 |
+
gravity: 9.81007
|
| 191 |
+
debias: true
|
| 192 |
+
calibrater:
|
| 193 |
+
kind: imu
|
| 194 |
+
seq_name: tiltedThrice/yawForward/maxSpeed5p0
|
| 195 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 196 |
+
config:
|
| 197 |
+
window_size: ${train.window}
|
| 198 |
+
seq:
|
| 199 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 200 |
+
config:
|
| 201 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 202 |
+
device: ${meta.device}
|
| 203 |
+
dtype: ${meta.dtype}
|
| 204 |
+
acc_sigma: 0.01
|
| 205 |
+
gyro_sigma: 0.01
|
| 206 |
+
gravity: 9.81007
|
| 207 |
+
debias: true
|
| 208 |
+
calibrater:
|
| 209 |
+
kind: imu
|
| 210 |
+
seq_name: thrice/yawForward/maxSpeed0p5
|
| 211 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 212 |
+
config:
|
| 213 |
+
window_size: ${train.window}
|
| 214 |
+
seq:
|
| 215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 216 |
+
config:
|
| 217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 218 |
+
device: ${meta.device}
|
| 219 |
+
dtype: ${meta.dtype}
|
| 220 |
+
acc_sigma: 0.01
|
| 221 |
+
gyro_sigma: 0.01
|
| 222 |
+
gravity: 9.81007
|
| 223 |
+
debias: true
|
| 224 |
+
calibrater:
|
| 225 |
+
kind: imu
|
| 226 |
+
seq_name: picasso/yawConstant/maxSpeed5p0
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.01
|
| 237 |
+
gyro_sigma: 0.01
|
| 238 |
+
gravity: 9.81007
|
| 239 |
+
debias: true
|
| 240 |
+
calibrater:
|
| 241 |
+
kind: imu
|
| 242 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed1p0
|
| 243 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 244 |
+
config:
|
| 245 |
+
window_size: ${train.window}
|
| 246 |
+
seq:
|
| 247 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 248 |
+
config:
|
| 249 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 250 |
+
device: ${meta.device}
|
| 251 |
+
dtype: ${meta.dtype}
|
| 252 |
+
acc_sigma: 0.01
|
| 253 |
+
gyro_sigma: 0.01
|
| 254 |
+
gravity: 9.81007
|
| 255 |
+
debias: true
|
| 256 |
+
calibrater:
|
| 257 |
+
kind: imu
|
| 258 |
+
seq_name: sid/yawForward/maxSpeed1p0
|
| 259 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 260 |
+
config:
|
| 261 |
+
window_size: ${train.window}
|
| 262 |
+
seq:
|
| 263 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 264 |
+
config:
|
| 265 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 266 |
+
device: ${meta.device}
|
| 267 |
+
dtype: ${meta.dtype}
|
| 268 |
+
acc_sigma: 0.01
|
| 269 |
+
gyro_sigma: 0.01
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
debias: true
|
| 272 |
+
calibrater:
|
| 273 |
+
kind: imu
|
| 274 |
+
seq_name: dice/yawForward/maxSpeed2p0
|
| 275 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 276 |
+
config:
|
| 277 |
+
window_size: ${train.window}
|
| 278 |
+
seq:
|
| 279 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 280 |
+
config:
|
| 281 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 282 |
+
device: ${meta.device}
|
| 283 |
+
dtype: ${meta.dtype}
|
| 284 |
+
acc_sigma: 0.01
|
| 285 |
+
gyro_sigma: 0.01
|
| 286 |
+
gravity: 9.81007
|
| 287 |
+
debias: true
|
| 288 |
+
calibrater:
|
| 289 |
+
kind: imu
|
| 290 |
+
seq_name: dice/yawForward/maxSpeed1p0
|
| 291 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 292 |
+
config:
|
| 293 |
+
window_size: ${train.window}
|
| 294 |
+
seq:
|
| 295 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 296 |
+
config:
|
| 297 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 298 |
+
device: ${meta.device}
|
| 299 |
+
dtype: ${meta.dtype}
|
| 300 |
+
acc_sigma: 0.01
|
| 301 |
+
gyro_sigma: 0.01
|
| 302 |
+
gravity: 9.81007
|
| 303 |
+
debias: true
|
| 304 |
+
calibrater:
|
| 305 |
+
kind: imu
|
| 306 |
+
seq_name: figure8/yawConstant/maxSpeed0p5
|
| 307 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 308 |
+
config:
|
| 309 |
+
window_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
gravity: 9.81007
|
| 319 |
+
debias: true
|
| 320 |
+
calibrater:
|
| 321 |
+
kind: imu
|
| 322 |
+
seq_name: figure8/yawConstant/maxSpeed5p0
|
| 323 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
seq:
|
| 327 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 328 |
+
config:
|
| 329 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 330 |
+
device: ${meta.device}
|
| 331 |
+
dtype: ${meta.dtype}
|
| 332 |
+
acc_sigma: 0.01
|
| 333 |
+
gyro_sigma: 0.01
|
| 334 |
+
gravity: 9.81007
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
seq_name: winter/yawForward/maxSpeed0p5
|
| 339 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 340 |
+
config:
|
| 341 |
+
window_size: ${train.window}
|
| 342 |
+
seq:
|
| 343 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 344 |
+
config:
|
| 345 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 346 |
+
device: ${meta.device}
|
| 347 |
+
dtype: ${meta.dtype}
|
| 348 |
+
acc_sigma: 0.01
|
| 349 |
+
gyro_sigma: 0.01
|
| 350 |
+
gravity: 9.81007
|
| 351 |
+
debias: true
|
| 352 |
+
calibrater:
|
| 353 |
+
kind: imu
|
| 354 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed4p0
|
| 355 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 356 |
+
config:
|
| 357 |
+
window_size: ${train.window}
|
| 358 |
+
seq:
|
| 359 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 360 |
+
config:
|
| 361 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 362 |
+
device: ${meta.device}
|
| 363 |
+
dtype: ${meta.dtype}
|
| 364 |
+
acc_sigma: 0.01
|
| 365 |
+
gyro_sigma: 0.01
|
| 366 |
+
gravity: 9.81007
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
seq_name: sphinx/yawForward/maxSpeed2p0
|
| 371 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 372 |
+
config:
|
| 373 |
+
window_size: ${train.window}
|
| 374 |
+
seq:
|
| 375 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 376 |
+
config:
|
| 377 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 378 |
+
device: ${meta.device}
|
| 379 |
+
dtype: ${meta.dtype}
|
| 380 |
+
acc_sigma: 0.01
|
| 381 |
+
gyro_sigma: 0.01
|
| 382 |
+
gravity: 9.81007
|
| 383 |
+
debias: true
|
| 384 |
+
calibrater:
|
| 385 |
+
kind: imu
|
| 386 |
+
seq_name: thrice/yawForward/maxSpeed2p0
|
| 387 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 388 |
+
config:
|
| 389 |
+
window_size: ${train.window}
|
| 390 |
+
seq:
|
| 391 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 392 |
+
config:
|
| 393 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 394 |
+
device: ${meta.device}
|
| 395 |
+
dtype: ${meta.dtype}
|
| 396 |
+
acc_sigma: 0.01
|
| 397 |
+
gyro_sigma: 0.01
|
| 398 |
+
gravity: 9.81007
|
| 399 |
+
debias: true
|
| 400 |
+
calibrater:
|
| 401 |
+
kind: imu
|
| 402 |
+
seq_name: thrice/yawForward/maxSpeed6p0
|
| 403 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 404 |
+
config:
|
| 405 |
+
window_size: ${train.window}
|
| 406 |
+
seq:
|
| 407 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 408 |
+
config:
|
| 409 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 410 |
+
device: ${meta.device}
|
| 411 |
+
dtype: ${meta.dtype}
|
| 412 |
+
acc_sigma: 0.01
|
| 413 |
+
gyro_sigma: 0.01
|
| 414 |
+
gravity: 9.81007
|
| 415 |
+
debias: true
|
| 416 |
+
calibrater:
|
| 417 |
+
kind: imu
|
| 418 |
+
seq_name: halfMoon/yawForward/maxSpeed1p5
|
| 419 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 420 |
+
config:
|
| 421 |
+
window_size: ${train.window}
|
| 422 |
+
seq:
|
| 423 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 424 |
+
config:
|
| 425 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 426 |
+
device: ${meta.device}
|
| 427 |
+
dtype: ${meta.dtype}
|
| 428 |
+
acc_sigma: 0.01
|
| 429 |
+
gyro_sigma: 0.01
|
| 430 |
+
gravity: 9.81007
|
| 431 |
+
debias: true
|
| 432 |
+
calibrater:
|
| 433 |
+
kind: imu
|
| 434 |
+
seq_name: figure8/yawConstant/maxSpeed3p25
|
| 435 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 436 |
+
config:
|
| 437 |
+
window_size: ${train.window}
|
| 438 |
+
seq:
|
| 439 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 440 |
+
config:
|
| 441 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 442 |
+
device: ${meta.device}
|
| 443 |
+
dtype: ${meta.dtype}
|
| 444 |
+
acc_sigma: 0.01
|
| 445 |
+
gyro_sigma: 0.01
|
| 446 |
+
gravity: 9.81007
|
| 447 |
+
debias: true
|
| 448 |
+
calibrater:
|
| 449 |
+
kind: imu
|
| 450 |
+
seq_name: thrice/yawForward/maxSpeed4p0
|
| 451 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 452 |
+
config:
|
| 453 |
+
window_size: ${train.window}
|
| 454 |
+
seq:
|
| 455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 456 |
+
config:
|
| 457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 458 |
+
device: ${meta.device}
|
| 459 |
+
dtype: ${meta.dtype}
|
| 460 |
+
acc_sigma: 0.01
|
| 461 |
+
gyro_sigma: 0.01
|
| 462 |
+
gravity: 9.81007
|
| 463 |
+
debias: true
|
| 464 |
+
calibrater:
|
| 465 |
+
kind: imu
|
| 466 |
+
seq_name: winter/yawForward/maxSpeed2p0
|
| 467 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 468 |
+
config:
|
| 469 |
+
window_size: ${train.window}
|
| 470 |
+
seq:
|
| 471 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 472 |
+
config:
|
| 473 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 474 |
+
device: ${meta.device}
|
| 475 |
+
dtype: ${meta.dtype}
|
| 476 |
+
acc_sigma: 0.01
|
| 477 |
+
gyro_sigma: 0.01
|
| 478 |
+
gravity: 9.81007
|
| 479 |
+
debias: true
|
| 480 |
+
calibrater:
|
| 481 |
+
kind: imu
|
| 482 |
+
seq_name: halfMoon/yawForward/maxSpeed1p0
|
| 483 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 484 |
+
config:
|
| 485 |
+
window_size: ${train.window}
|
| 486 |
+
seq:
|
| 487 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 488 |
+
config:
|
| 489 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 490 |
+
device: ${meta.device}
|
| 491 |
+
dtype: ${meta.dtype}
|
| 492 |
+
acc_sigma: 0.01
|
| 493 |
+
gyro_sigma: 0.01
|
| 494 |
+
gravity: 9.81007
|
| 495 |
+
debias: true
|
| 496 |
+
calibrater:
|
| 497 |
+
kind: imu
|
| 498 |
+
seq_name: picasso/yawConstant/maxSpeed4p0
|
| 499 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 500 |
+
config:
|
| 501 |
+
window_size: ${train.window}
|
| 502 |
+
seq:
|
| 503 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 504 |
+
config:
|
| 505 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 506 |
+
device: ${meta.device}
|
| 507 |
+
dtype: ${meta.dtype}
|
| 508 |
+
acc_sigma: 0.01
|
| 509 |
+
gyro_sigma: 0.01
|
| 510 |
+
gravity: 9.81007
|
| 511 |
+
debias: true
|
| 512 |
+
calibrater:
|
| 513 |
+
kind: imu
|
| 514 |
+
seq_name: winter/yawForward/maxSpeed4p0
|
| 515 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 516 |
+
config:
|
| 517 |
+
window_size: ${train.window}
|
| 518 |
+
seq:
|
| 519 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 520 |
+
config:
|
| 521 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 522 |
+
device: ${meta.device}
|
| 523 |
+
dtype: ${meta.dtype}
|
| 524 |
+
acc_sigma: 0.01
|
| 525 |
+
gyro_sigma: 0.01
|
| 526 |
+
gravity: 9.81007
|
| 527 |
+
debias: true
|
| 528 |
+
calibrater:
|
| 529 |
+
kind: imu
|
| 530 |
+
seq_name: sphinx/yawForward/maxSpeed1p0
|
| 531 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 532 |
+
config:
|
| 533 |
+
window_size: ${train.window}
|
| 534 |
+
seq:
|
| 535 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 536 |
+
config:
|
| 537 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 538 |
+
device: ${meta.device}
|
| 539 |
+
dtype: ${meta.dtype}
|
| 540 |
+
acc_sigma: 0.01
|
| 541 |
+
gyro_sigma: 0.01
|
| 542 |
+
gravity: 9.81007
|
| 543 |
+
debias: true
|
| 544 |
+
calibrater:
|
| 545 |
+
kind: imu
|
| 546 |
+
seq_name: picasso/yawConstant/maxSpeed1p0
|
| 547 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 548 |
+
config:
|
| 549 |
+
window_size: ${train.window}
|
| 550 |
+
seq:
|
| 551 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 552 |
+
config:
|
| 553 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 554 |
+
device: ${meta.device}
|
| 555 |
+
dtype: ${meta.dtype}
|
| 556 |
+
acc_sigma: 0.01
|
| 557 |
+
gyro_sigma: 0.01
|
| 558 |
+
gravity: 9.81007
|
| 559 |
+
debias: true
|
| 560 |
+
calibrater:
|
| 561 |
+
kind: imu
|
| 562 |
+
seq_name: mouse/yawForward/maxSpeed4p0
|
| 563 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 564 |
+
config:
|
| 565 |
+
window_size: ${train.window}
|
| 566 |
+
seq:
|
| 567 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 568 |
+
config:
|
| 569 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 570 |
+
device: ${meta.device}
|
| 571 |
+
dtype: ${meta.dtype}
|
| 572 |
+
acc_sigma: 0.01
|
| 573 |
+
gyro_sigma: 0.01
|
| 574 |
+
gravity: 9.81007
|
| 575 |
+
debias: true
|
| 576 |
+
calibrater:
|
| 577 |
+
kind: imu
|
| 578 |
+
seq_name: tiltedThrice/yawForward/maxSpeed6p0
|
| 579 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 580 |
+
config:
|
| 581 |
+
window_size: ${train.window}
|
| 582 |
+
seq:
|
| 583 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 584 |
+
config:
|
| 585 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 586 |
+
device: ${meta.device}
|
| 587 |
+
dtype: ${meta.dtype}
|
| 588 |
+
acc_sigma: 0.01
|
| 589 |
+
gyro_sigma: 0.01
|
| 590 |
+
gravity: 9.81007
|
| 591 |
+
debias: true
|
| 592 |
+
calibrater:
|
| 593 |
+
kind: imu
|
| 594 |
+
seq_name: figure8/yawConstant/maxSpeed2p0
|
| 595 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 596 |
+
config:
|
| 597 |
+
window_size: ${train.window}
|
| 598 |
+
seq:
|
| 599 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 600 |
+
config:
|
| 601 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 602 |
+
device: ${meta.device}
|
| 603 |
+
dtype: ${meta.dtype}
|
| 604 |
+
acc_sigma: 0.01
|
| 605 |
+
gyro_sigma: 0.01
|
| 606 |
+
gravity: 9.81007
|
| 607 |
+
debias: true
|
| 608 |
+
calibrater:
|
| 609 |
+
kind: imu
|
| 610 |
+
seq_name: patrick/yawForward/maxSpeed0p5
|
| 611 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 612 |
+
config:
|
| 613 |
+
window_size: ${train.window}
|
| 614 |
+
seq:
|
| 615 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 616 |
+
config:
|
| 617 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 618 |
+
device: ${meta.device}
|
| 619 |
+
dtype: ${meta.dtype}
|
| 620 |
+
acc_sigma: 0.01
|
| 621 |
+
gyro_sigma: 0.01
|
| 622 |
+
gravity: 9.81007
|
| 623 |
+
debias: true
|
| 624 |
+
calibrater:
|
| 625 |
+
kind: imu
|
| 626 |
+
seq_name: sid/yawForward/maxSpeed5p0
|
| 627 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 628 |
+
config:
|
| 629 |
+
window_size: ${train.window}
|
| 630 |
+
seq:
|
| 631 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 632 |
+
config:
|
| 633 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 634 |
+
device: ${meta.device}
|
| 635 |
+
dtype: ${meta.dtype}
|
| 636 |
+
acc_sigma: 0.01
|
| 637 |
+
gyro_sigma: 0.01
|
| 638 |
+
gravity: 9.81007
|
| 639 |
+
debias: true
|
| 640 |
+
calibrater:
|
| 641 |
+
kind: imu
|
| 642 |
+
seq_name: patrick/yawForward/maxSpeed1p0
|
| 643 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 644 |
+
config:
|
| 645 |
+
window_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.01
|
| 653 |
+
gyro_sigma: 0.01
|
| 654 |
+
gravity: 9.81007
|
| 655 |
+
debias: true
|
| 656 |
+
calibrater:
|
| 657 |
+
kind: imu
|
| 658 |
+
seq_name: tiltedThrice/yawForward/maxSpeed3p0
|
| 659 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 660 |
+
config:
|
| 661 |
+
window_size: ${train.window}
|
| 662 |
+
seq:
|
| 663 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 664 |
+
config:
|
| 665 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 666 |
+
device: ${meta.device}
|
| 667 |
+
dtype: ${meta.dtype}
|
| 668 |
+
acc_sigma: 0.01
|
| 669 |
+
gyro_sigma: 0.01
|
| 670 |
+
gravity: 9.81007
|
| 671 |
+
debias: true
|
| 672 |
+
calibrater:
|
| 673 |
+
kind: imu
|
| 674 |
+
seq_name: oval/yawForward/maxSpeed2p0
|
| 675 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 676 |
+
config:
|
| 677 |
+
window_size: ${train.window}
|
| 678 |
+
seq:
|
| 679 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 680 |
+
config:
|
| 681 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 682 |
+
device: ${meta.device}
|
| 683 |
+
dtype: ${meta.dtype}
|
| 684 |
+
acc_sigma: 0.01
|
| 685 |
+
gyro_sigma: 0.01
|
| 686 |
+
gravity: 9.81007
|
| 687 |
+
debias: true
|
| 688 |
+
calibrater:
|
| 689 |
+
kind: imu
|
| 690 |
+
seq_name: clover/yawForward/maxSpeed4p0
|
| 691 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 692 |
+
config:
|
| 693 |
+
window_size: ${train.window}
|
| 694 |
+
seq:
|
| 695 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 696 |
+
config:
|
| 697 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 698 |
+
device: ${meta.device}
|
| 699 |
+
dtype: ${meta.dtype}
|
| 700 |
+
acc_sigma: 0.01
|
| 701 |
+
gyro_sigma: 0.01
|
| 702 |
+
gravity: 9.81007
|
| 703 |
+
debias: true
|
| 704 |
+
calibrater:
|
| 705 |
+
kind: imu
|
| 706 |
+
seq_name: halfMoon/yawForward/maxSpeed4p0
|
| 707 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 708 |
+
config:
|
| 709 |
+
window_size: ${train.window}
|
| 710 |
+
seq:
|
| 711 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 712 |
+
config:
|
| 713 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 714 |
+
device: ${meta.device}
|
| 715 |
+
dtype: ${meta.dtype}
|
| 716 |
+
acc_sigma: 0.01
|
| 717 |
+
gyro_sigma: 0.01
|
| 718 |
+
gravity: 9.81007
|
| 719 |
+
debias: true
|
| 720 |
+
calibrater:
|
| 721 |
+
kind: imu
|
| 722 |
+
seq_name: sid/yawForward/maxSpeed2p0
|
| 723 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 724 |
+
config:
|
| 725 |
+
window_size: ${train.window}
|
| 726 |
+
seq:
|
| 727 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 728 |
+
config:
|
| 729 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 730 |
+
device: ${meta.device}
|
| 731 |
+
dtype: ${meta.dtype}
|
| 732 |
+
acc_sigma: 0.01
|
| 733 |
+
gyro_sigma: 0.01
|
| 734 |
+
gravity: 9.81007
|
| 735 |
+
debias: true
|
| 736 |
+
calibrater:
|
| 737 |
+
kind: imu
|
| 738 |
+
seq_name: dice/yawForward/maxSpeed3p0
|
| 739 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 740 |
+
config:
|
| 741 |
+
window_size: ${train.window}
|
| 742 |
+
seq:
|
| 743 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 744 |
+
config:
|
| 745 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 746 |
+
device: ${meta.device}
|
| 747 |
+
dtype: ${meta.dtype}
|
| 748 |
+
acc_sigma: 0.01
|
| 749 |
+
gyro_sigma: 0.01
|
| 750 |
+
gravity: 9.81007
|
| 751 |
+
debias: true
|
| 752 |
+
calibrater:
|
| 753 |
+
kind: imu
|
| 754 |
+
seq_name: halfMoon/yawForward/maxSpeed3p0
|
| 755 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 756 |
+
config:
|
| 757 |
+
window_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.01
|
| 765 |
+
gyro_sigma: 0.01
|
| 766 |
+
gravity: 9.81007
|
| 767 |
+
debias: true
|
| 768 |
+
calibrater:
|
| 769 |
+
kind: imu
|
| 770 |
+
seq_name: oval/yawForward/maxSpeed1p0
|
| 771 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 772 |
+
config:
|
| 773 |
+
window_size: ${train.window}
|
| 774 |
+
seq:
|
| 775 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 776 |
+
config:
|
| 777 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 778 |
+
device: ${meta.device}
|
| 779 |
+
dtype: ${meta.dtype}
|
| 780 |
+
acc_sigma: 0.01
|
| 781 |
+
gyro_sigma: 0.01
|
| 782 |
+
gravity: 9.81007
|
| 783 |
+
debias: true
|
| 784 |
+
calibrater:
|
| 785 |
+
kind: imu
|
| 786 |
+
seq_name: sphinx/yawForward/maxSpeed3p0
|
| 787 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 788 |
+
config:
|
| 789 |
+
window_size: ${train.window}
|
| 790 |
+
seq:
|
| 791 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 792 |
+
config:
|
| 793 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 794 |
+
device: ${meta.device}
|
| 795 |
+
dtype: ${meta.dtype}
|
| 796 |
+
acc_sigma: 0.01
|
| 797 |
+
gyro_sigma: 0.01
|
| 798 |
+
gravity: 9.81007
|
| 799 |
+
debias: true
|
| 800 |
+
calibrater:
|
| 801 |
+
kind: imu
|
| 802 |
+
seq_name: thrice/yawForward/maxSpeed3p0
|
| 803 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 804 |
+
config:
|
| 805 |
+
window_size: ${train.window}
|
| 806 |
+
seq:
|
| 807 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 808 |
+
config:
|
| 809 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 810 |
+
device: ${meta.device}
|
| 811 |
+
dtype: ${meta.dtype}
|
| 812 |
+
acc_sigma: 0.01
|
| 813 |
+
gyro_sigma: 0.01
|
| 814 |
+
gravity: 9.81007
|
| 815 |
+
debias: true
|
| 816 |
+
calibrater:
|
| 817 |
+
kind: imu
|
| 818 |
+
seq_name: oval/yawForward/maxSpeed3p0
|
| 819 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 820 |
+
config:
|
| 821 |
+
window_size: ${train.window}
|
| 822 |
+
seq:
|
| 823 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 824 |
+
config:
|
| 825 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 826 |
+
device: ${meta.device}
|
| 827 |
+
dtype: ${meta.dtype}
|
| 828 |
+
acc_sigma: 0.01
|
| 829 |
+
gyro_sigma: 0.01
|
| 830 |
+
gravity: 9.81007
|
| 831 |
+
debias: true
|
| 832 |
+
calibrater:
|
| 833 |
+
kind: imu
|
| 834 |
+
seq_name: star/yawForward/maxSpeed1p0
|
| 835 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 836 |
+
config:
|
| 837 |
+
window_size: ${train.window}
|
| 838 |
+
seq:
|
| 839 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 840 |
+
config:
|
| 841 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 842 |
+
device: ${meta.device}
|
| 843 |
+
dtype: ${meta.dtype}
|
| 844 |
+
acc_sigma: 0.01
|
| 845 |
+
gyro_sigma: 0.01
|
| 846 |
+
gravity: 9.81007
|
| 847 |
+
debias: true
|
| 848 |
+
calibrater:
|
| 849 |
+
kind: imu
|
| 850 |
+
seq_name: mouse/yawForward/maxSpeed0p5
|
| 851 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 852 |
+
config:
|
| 853 |
+
window_size: ${train.window}
|
| 854 |
+
seq:
|
| 855 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 856 |
+
config:
|
| 857 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 858 |
+
device: ${meta.device}
|
| 859 |
+
dtype: ${meta.dtype}
|
| 860 |
+
acc_sigma: 0.01
|
| 861 |
+
gyro_sigma: 0.01
|
| 862 |
+
gravity: 9.81007
|
| 863 |
+
debias: true
|
| 864 |
+
calibrater:
|
| 865 |
+
kind: imu
|
| 866 |
+
seq_name: tiltedThrice/yawForward/maxSpeed0p5
|
| 867 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 868 |
+
config:
|
| 869 |
+
window_size: ${train.window}
|
| 870 |
+
seq:
|
| 871 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 872 |
+
config:
|
| 873 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 874 |
+
device: ${meta.device}
|
| 875 |
+
dtype: ${meta.dtype}
|
| 876 |
+
acc_sigma: 0.01
|
| 877 |
+
gyro_sigma: 0.01
|
| 878 |
+
gravity: 9.81007
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
seq_name: sphinx/yawForward/maxSpeed4p0
|
| 883 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 884 |
+
config:
|
| 885 |
+
window_size: ${train.window}
|
| 886 |
+
seq:
|
| 887 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 888 |
+
config:
|
| 889 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 890 |
+
device: ${meta.device}
|
| 891 |
+
dtype: ${meta.dtype}
|
| 892 |
+
acc_sigma: 0.01
|
| 893 |
+
gyro_sigma: 0.01
|
| 894 |
+
gravity: 9.81007
|
| 895 |
+
debias: true
|
| 896 |
+
calibrater:
|
| 897 |
+
kind: imu
|
| 898 |
+
seq_name: star/yawForward/maxSpeed4p0
|
| 899 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 900 |
+
config:
|
| 901 |
+
window_size: ${train.window}
|
| 902 |
+
seq:
|
| 903 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 904 |
+
config:
|
| 905 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 906 |
+
device: ${meta.device}
|
| 907 |
+
dtype: ${meta.dtype}
|
| 908 |
+
acc_sigma: 0.01
|
| 909 |
+
gyro_sigma: 0.01
|
| 910 |
+
gravity: 9.81007
|
| 911 |
+
debias: true
|
| 912 |
+
calibrater:
|
| 913 |
+
kind: imu
|
| 914 |
+
seq_name: clover/yawForward/maxSpeed0p5
|
| 915 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 916 |
+
config:
|
| 917 |
+
window_size: ${train.window}
|
| 918 |
+
seq:
|
| 919 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 920 |
+
config:
|
| 921 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 922 |
+
device: ${meta.device}
|
| 923 |
+
dtype: ${meta.dtype}
|
| 924 |
+
acc_sigma: 0.01
|
| 925 |
+
gyro_sigma: 0.01
|
| 926 |
+
gravity: 9.81007
|
| 927 |
+
debias: true
|
| 928 |
+
calibrater:
|
| 929 |
+
kind: imu
|
| 930 |
+
seq_name: star/yawForward/maxSpeed2p0
|
| 931 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 932 |
+
config:
|
| 933 |
+
window_size: ${train.window}
|
| 934 |
+
seq:
|
| 935 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 936 |
+
config:
|
| 937 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 938 |
+
device: ${meta.device}
|
| 939 |
+
dtype: ${meta.dtype}
|
| 940 |
+
acc_sigma: 0.01
|
| 941 |
+
gyro_sigma: 0.01
|
| 942 |
+
gravity: 9.81007
|
| 943 |
+
debias: true
|
| 944 |
+
calibrater:
|
| 945 |
+
kind: imu
|
| 946 |
+
seq_name: clover/yawForward/maxSpeed1p0
|
| 947 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 948 |
+
config:
|
| 949 |
+
window_size: ${train.window}
|
| 950 |
+
seq:
|
| 951 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 952 |
+
config:
|
| 953 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 954 |
+
device: ${meta.device}
|
| 955 |
+
dtype: ${meta.dtype}
|
| 956 |
+
acc_sigma: 0.01
|
| 957 |
+
gyro_sigma: 0.01
|
| 958 |
+
gravity: 9.81007
|
| 959 |
+
debias: true
|
| 960 |
+
calibrater:
|
| 961 |
+
kind: imu
|
| 962 |
+
seq_name: clover/yawForward/maxSpeed2p0
|
| 963 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 964 |
+
config:
|
| 965 |
+
window_size: ${train.window}
|
| 966 |
+
seq:
|
| 967 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 968 |
+
config:
|
| 969 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 970 |
+
device: ${meta.device}
|
| 971 |
+
dtype: ${meta.dtype}
|
| 972 |
+
acc_sigma: 0.01
|
| 973 |
+
gyro_sigma: 0.01
|
| 974 |
+
gravity: 9.81007
|
| 975 |
+
debias: true
|
| 976 |
+
calibrater:
|
| 977 |
+
kind: imu
|
| 978 |
+
seq_name: mouse/yawForward/maxSpeed2p0
|
| 979 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 980 |
+
config:
|
| 981 |
+
window_size: ${train.window}
|
| 982 |
+
seq:
|
| 983 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 984 |
+
config:
|
| 985 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 986 |
+
device: ${meta.device}
|
| 987 |
+
dtype: ${meta.dtype}
|
| 988 |
+
acc_sigma: 0.01
|
| 989 |
+
gyro_sigma: 0.01
|
| 990 |
+
gravity: 9.81007
|
| 991 |
+
debias: true
|
| 992 |
+
calibrater:
|
| 993 |
+
kind: imu
|
| 994 |
+
seq_name: sid/yawForward/maxSpeed0p5
|
| 995 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 996 |
+
config:
|
| 997 |
+
window_size: ${train.window}
|
| 998 |
+
seq:
|
| 999 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1000 |
+
config:
|
| 1001 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1002 |
+
device: ${meta.device}
|
| 1003 |
+
dtype: ${meta.dtype}
|
| 1004 |
+
acc_sigma: 0.01
|
| 1005 |
+
gyro_sigma: 0.01
|
| 1006 |
+
gravity: 9.81007
|
| 1007 |
+
debias: true
|
| 1008 |
+
calibrater:
|
| 1009 |
+
kind: imu
|
| 1010 |
+
seq_name: tiltedThrice/yawForward/maxSpeed2p0
|
| 1011 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1012 |
+
config:
|
| 1013 |
+
window_size: ${train.window}
|
| 1014 |
+
seq:
|
| 1015 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1016 |
+
config:
|
| 1017 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1018 |
+
device: ${meta.device}
|
| 1019 |
+
dtype: ${meta.dtype}
|
| 1020 |
+
acc_sigma: 0.01
|
| 1021 |
+
gyro_sigma: 0.01
|
| 1022 |
+
gravity: 9.81007
|
| 1023 |
+
debias: true
|
| 1024 |
+
calibrater:
|
| 1025 |
+
kind: imu
|
| 1026 |
+
seq_name: tiltedThrice/yawForward/maxSpeed1p0
|
| 1027 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1028 |
+
config:
|
| 1029 |
+
window_size: ${train.window}
|
| 1030 |
+
seq:
|
| 1031 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1032 |
+
config:
|
| 1033 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1034 |
+
device: ${meta.device}
|
| 1035 |
+
dtype: ${meta.dtype}
|
| 1036 |
+
acc_sigma: 0.01
|
| 1037 |
+
gyro_sigma: 0.01
|
| 1038 |
+
gravity: 9.81007
|
| 1039 |
+
debias: true
|
| 1040 |
+
calibrater:
|
| 1041 |
+
kind: imu
|
| 1042 |
+
seq_name: thrice/yawForward/maxSpeed5p0
|
| 1043 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1044 |
+
config:
|
| 1045 |
+
window_size: ${train.window}
|
| 1046 |
+
seq:
|
| 1047 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1048 |
+
config:
|
| 1049 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1050 |
+
device: ${meta.device}
|
| 1051 |
+
dtype: ${meta.dtype}
|
| 1052 |
+
acc_sigma: 0.01
|
| 1053 |
+
gyro_sigma: 0.01
|
| 1054 |
+
gravity: 9.81007
|
| 1055 |
+
debias: true
|
| 1056 |
+
calibrater:
|
| 1057 |
+
kind: imu
|
| 1058 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed2p0
|
| 1059 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1060 |
+
config:
|
| 1061 |
+
window_size: ${train.window}
|
| 1062 |
+
seq:
|
| 1063 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1064 |
+
config:
|
| 1065 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1066 |
+
device: ${meta.device}
|
| 1067 |
+
dtype: ${meta.dtype}
|
| 1068 |
+
acc_sigma: 0.01
|
| 1069 |
+
gyro_sigma: 0.01
|
| 1070 |
+
gravity: 9.81007
|
| 1071 |
+
debias: true
|
| 1072 |
+
calibrater:
|
| 1073 |
+
kind: imu
|
| 1074 |
+
seq_name: oval/yawForward/maxSpeed4p0
|
| 1075 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1076 |
+
config:
|
| 1077 |
+
window_size: ${train.window}
|
| 1078 |
+
seq:
|
| 1079 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1080 |
+
config:
|
| 1081 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1082 |
+
device: ${meta.device}
|
| 1083 |
+
dtype: ${meta.dtype}
|
| 1084 |
+
acc_sigma: 0.01
|
| 1085 |
+
gyro_sigma: 0.01
|
| 1086 |
+
gravity: 9.81007
|
| 1087 |
+
debias: true
|
| 1088 |
+
calibrater:
|
| 1089 |
+
kind: imu
|
| 1090 |
+
seq_name: mouse/yawForward/maxSpeed1p0
|
| 1091 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1092 |
+
config:
|
| 1093 |
+
window_size: ${train.window}
|
| 1094 |
+
seq:
|
| 1095 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1096 |
+
config:
|
| 1097 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1098 |
+
device: ${meta.device}
|
| 1099 |
+
dtype: ${meta.dtype}
|
| 1100 |
+
acc_sigma: 0.01
|
| 1101 |
+
gyro_sigma: 0.01
|
| 1102 |
+
gravity: 9.81007
|
| 1103 |
+
debias: true
|
| 1104 |
+
calibrater:
|
| 1105 |
+
kind: imu
|
| 1106 |
+
seq_name: bentDice/yawForward/maxSpeed2p0
|
| 1107 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1108 |
+
config:
|
| 1109 |
+
window_size: ${train.window}
|
| 1110 |
+
seq:
|
| 1111 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1112 |
+
config:
|
| 1113 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1114 |
+
device: ${meta.device}
|
| 1115 |
+
dtype: ${meta.dtype}
|
| 1116 |
+
acc_sigma: 0.01
|
| 1117 |
+
gyro_sigma: 0.01
|
| 1118 |
+
gravity: 9.81007
|
| 1119 |
+
debias: true
|
| 1120 |
+
calibrater:
|
| 1121 |
+
kind: imu
|
| 1122 |
+
seq_name: figure8/yawConstant/maxSpeed1p0
|
| 1123 |
+
eval_dataset:
|
| 1124 |
+
_outer:
|
| 1125 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1126 |
+
config:
|
| 1127 |
+
window_size: ${train.window}
|
| 1128 |
+
step_size: ${train.window}
|
| 1129 |
+
_inner:
|
| 1130 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1131 |
+
_inner_config:
|
| 1132 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1133 |
+
device: ${meta.device}
|
| 1134 |
+
dtype: ${meta.dtype}
|
| 1135 |
+
acc_sigma: 0.01
|
| 1136 |
+
gyro_sigma: 0.01
|
| 1137 |
+
gravity: 9.81007
|
| 1138 |
+
debias: true
|
| 1139 |
+
calibrater:
|
| 1140 |
+
kind: imu
|
| 1141 |
+
sequences:
|
| 1142 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1143 |
+
config:
|
| 1144 |
+
window_size: ${train.window}
|
| 1145 |
+
step_size: ${train.window}
|
| 1146 |
+
seq:
|
| 1147 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1148 |
+
config:
|
| 1149 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1150 |
+
device: ${meta.device}
|
| 1151 |
+
dtype: ${meta.dtype}
|
| 1152 |
+
acc_sigma: 0.01
|
| 1153 |
+
gyro_sigma: 0.01
|
| 1154 |
+
gravity: 9.81007
|
| 1155 |
+
debias: true
|
| 1156 |
+
calibrater:
|
| 1157 |
+
kind: imu
|
| 1158 |
+
seq_name: tiltedThrice/yawForward/maxSpeed4p0
|
| 1159 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1160 |
+
config:
|
| 1161 |
+
window_size: ${train.window}
|
| 1162 |
+
step_size: ${train.window}
|
| 1163 |
+
seq:
|
| 1164 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1165 |
+
config:
|
| 1166 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1167 |
+
device: ${meta.device}
|
| 1168 |
+
dtype: ${meta.dtype}
|
| 1169 |
+
acc_sigma: 0.01
|
| 1170 |
+
gyro_sigma: 0.01
|
| 1171 |
+
gravity: 9.81007
|
| 1172 |
+
debias: true
|
| 1173 |
+
calibrater:
|
| 1174 |
+
kind: imu
|
| 1175 |
+
seq_name: mouse/yawForward/maxSpeed3p0
|
| 1176 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1177 |
+
config:
|
| 1178 |
+
window_size: ${train.window}
|
| 1179 |
+
step_size: ${train.window}
|
| 1180 |
+
seq:
|
| 1181 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1182 |
+
config:
|
| 1183 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1184 |
+
device: ${meta.device}
|
| 1185 |
+
dtype: ${meta.dtype}
|
| 1186 |
+
acc_sigma: 0.01
|
| 1187 |
+
gyro_sigma: 0.01
|
| 1188 |
+
gravity: 9.81007
|
| 1189 |
+
debias: true
|
| 1190 |
+
calibrater:
|
| 1191 |
+
kind: imu
|
| 1192 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed3p0
|
| 1193 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1194 |
+
config:
|
| 1195 |
+
window_size: ${train.window}
|
| 1196 |
+
step_size: ${train.window}
|
| 1197 |
+
seq:
|
| 1198 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1199 |
+
config:
|
| 1200 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1201 |
+
device: ${meta.device}
|
| 1202 |
+
dtype: ${meta.dtype}
|
| 1203 |
+
acc_sigma: 0.01
|
| 1204 |
+
gyro_sigma: 0.01
|
| 1205 |
+
gravity: 9.81007
|
| 1206 |
+
debias: true
|
| 1207 |
+
calibrater:
|
| 1208 |
+
kind: imu
|
| 1209 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed5p0
|
| 1210 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1211 |
+
config:
|
| 1212 |
+
window_size: ${train.window}
|
| 1213 |
+
step_size: ${train.window}
|
| 1214 |
+
seq:
|
| 1215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1216 |
+
config:
|
| 1217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1218 |
+
device: ${meta.device}
|
| 1219 |
+
dtype: ${meta.dtype}
|
| 1220 |
+
acc_sigma: 0.01
|
| 1221 |
+
gyro_sigma: 0.01
|
| 1222 |
+
gravity: 9.81007
|
| 1223 |
+
debias: true
|
| 1224 |
+
calibrater:
|
| 1225 |
+
kind: imu
|
| 1226 |
+
seq_name: sid/yawForward/maxSpeed3p0
|
| 1227 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1228 |
+
config:
|
| 1229 |
+
window_size: ${train.window}
|
| 1230 |
+
step_size: ${train.window}
|
| 1231 |
+
seq:
|
| 1232 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1233 |
+
config:
|
| 1234 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1235 |
+
device: ${meta.device}
|
| 1236 |
+
dtype: ${meta.dtype}
|
| 1237 |
+
acc_sigma: 0.01
|
| 1238 |
+
gyro_sigma: 0.01
|
| 1239 |
+
gravity: 9.81007
|
| 1240 |
+
debias: true
|
| 1241 |
+
calibrater:
|
| 1242 |
+
kind: imu
|
| 1243 |
+
seq_name: halfMoon/yawForward/maxSpeed2p0
|
| 1244 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1245 |
+
config:
|
| 1246 |
+
window_size: ${train.window}
|
| 1247 |
+
step_size: ${train.window}
|
| 1248 |
+
seq:
|
| 1249 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1250 |
+
config:
|
| 1251 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1252 |
+
device: ${meta.device}
|
| 1253 |
+
dtype: ${meta.dtype}
|
| 1254 |
+
acc_sigma: 0.01
|
| 1255 |
+
gyro_sigma: 0.01
|
| 1256 |
+
gravity: 9.81007
|
| 1257 |
+
debias: true
|
| 1258 |
+
calibrater:
|
| 1259 |
+
kind: imu
|
| 1260 |
+
seq_name: star/yawForward/maxSpeed5p0
|
| 1261 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1262 |
+
config:
|
| 1263 |
+
window_size: ${train.window}
|
| 1264 |
+
step_size: ${train.window}
|
| 1265 |
+
seq:
|
| 1266 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1267 |
+
config:
|
| 1268 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1269 |
+
device: ${meta.device}
|
| 1270 |
+
dtype: ${meta.dtype}
|
| 1271 |
+
acc_sigma: 0.01
|
| 1272 |
+
gyro_sigma: 0.01
|
| 1273 |
+
gravity: 9.81007
|
| 1274 |
+
debias: true
|
| 1275 |
+
calibrater:
|
| 1276 |
+
kind: imu
|
| 1277 |
+
seq_name: star/yawForward/maxSpeed3p0
|
| 1278 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1279 |
+
config:
|
| 1280 |
+
window_size: ${train.window}
|
| 1281 |
+
step_size: ${train.window}
|
| 1282 |
+
seq:
|
| 1283 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1284 |
+
config:
|
| 1285 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1286 |
+
device: ${meta.device}
|
| 1287 |
+
dtype: ${meta.dtype}
|
| 1288 |
+
acc_sigma: 0.01
|
| 1289 |
+
gyro_sigma: 0.01
|
| 1290 |
+
gravity: 9.81007
|
| 1291 |
+
debias: true
|
| 1292 |
+
calibrater:
|
| 1293 |
+
kind: imu
|
| 1294 |
+
seq_name: patrick/yawForward/maxSpeed3p0
|
| 1295 |
+
test_dataset:
|
| 1296 |
+
_outer:
|
| 1297 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1298 |
+
config:
|
| 1299 |
+
window_size: ${train.window}
|
| 1300 |
+
step_size: ${train.window}
|
| 1301 |
+
_inner:
|
| 1302 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1303 |
+
_inner_config:
|
| 1304 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1305 |
+
device: ${meta.device}
|
| 1306 |
+
dtype: ${meta.dtype}
|
| 1307 |
+
acc_sigma: 0.01
|
| 1308 |
+
gyro_sigma: 0.01
|
| 1309 |
+
gravity: 9.81007
|
| 1310 |
+
debias: true
|
| 1311 |
+
calibrater:
|
| 1312 |
+
kind: imu
|
| 1313 |
+
sequences:
|
| 1314 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1315 |
+
config:
|
| 1316 |
+
window_size: ${train.window}
|
| 1317 |
+
step_size: ${train.window}
|
| 1318 |
+
seq:
|
| 1319 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1320 |
+
config:
|
| 1321 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1322 |
+
device: ${meta.device}
|
| 1323 |
+
dtype: ${meta.dtype}
|
| 1324 |
+
acc_sigma: 0.01
|
| 1325 |
+
gyro_sigma: 0.01
|
| 1326 |
+
gravity: 9.81007
|
| 1327 |
+
debias: true
|
| 1328 |
+
calibrater:
|
| 1329 |
+
kind: imu
|
| 1330 |
+
seq_name: picasso/yawConstant/maxSpeed6p0
|
| 1331 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1332 |
+
config:
|
| 1333 |
+
window_size: ${train.window}
|
| 1334 |
+
step_size: ${train.window}
|
| 1335 |
+
seq:
|
| 1336 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1337 |
+
config:
|
| 1338 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1339 |
+
device: ${meta.device}
|
| 1340 |
+
dtype: ${meta.dtype}
|
| 1341 |
+
acc_sigma: 0.01
|
| 1342 |
+
gyro_sigma: 0.01
|
| 1343 |
+
gravity: 9.81007
|
| 1344 |
+
debias: true
|
| 1345 |
+
calibrater:
|
| 1346 |
+
kind: imu
|
| 1347 |
+
seq_name: picasso/yawConstant/maxSpeed2p0
|
| 1348 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1349 |
+
config:
|
| 1350 |
+
window_size: ${train.window}
|
| 1351 |
+
step_size: ${train.window}
|
| 1352 |
+
seq:
|
| 1353 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1354 |
+
config:
|
| 1355 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1356 |
+
device: ${meta.device}
|
| 1357 |
+
dtype: ${meta.dtype}
|
| 1358 |
+
acc_sigma: 0.01
|
| 1359 |
+
gyro_sigma: 0.01
|
| 1360 |
+
gravity: 9.81007
|
| 1361 |
+
debias: true
|
| 1362 |
+
calibrater:
|
| 1363 |
+
kind: imu
|
| 1364 |
+
seq_name: egg/yawForward/maxSpeed3p0
|
| 1365 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1366 |
+
config:
|
| 1367 |
+
window_size: ${train.window}
|
| 1368 |
+
step_size: ${train.window}
|
| 1369 |
+
seq:
|
| 1370 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1371 |
+
config:
|
| 1372 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1373 |
+
device: ${meta.device}
|
| 1374 |
+
dtype: ${meta.dtype}
|
| 1375 |
+
acc_sigma: 0.01
|
| 1376 |
+
gyro_sigma: 0.01
|
| 1377 |
+
gravity: 9.81007
|
| 1378 |
+
debias: true
|
| 1379 |
+
calibrater:
|
| 1380 |
+
kind: imu
|
| 1381 |
+
seq_name: clover/yawForward/maxSpeed5p0
|
| 1382 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1383 |
+
config:
|
| 1384 |
+
window_size: ${train.window}
|
| 1385 |
+
step_size: ${train.window}
|
| 1386 |
+
seq:
|
| 1387 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1388 |
+
config:
|
| 1389 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1390 |
+
device: ${meta.device}
|
| 1391 |
+
dtype: ${meta.dtype}
|
| 1392 |
+
acc_sigma: 0.01
|
| 1393 |
+
gyro_sigma: 0.01
|
| 1394 |
+
gravity: 9.81007
|
| 1395 |
+
debias: true
|
| 1396 |
+
calibrater:
|
| 1397 |
+
kind: imu
|
| 1398 |
+
seq_name: mouse/yawForward/maxSpeed6p0
|
| 1399 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1400 |
+
config:
|
| 1401 |
+
window_size: ${train.window}
|
| 1402 |
+
step_size: ${train.window}
|
| 1403 |
+
seq:
|
| 1404 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1405 |
+
config:
|
| 1406 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1407 |
+
device: ${meta.device}
|
| 1408 |
+
dtype: ${meta.dtype}
|
| 1409 |
+
acc_sigma: 0.01
|
| 1410 |
+
gyro_sigma: 0.01
|
| 1411 |
+
gravity: 9.81007
|
| 1412 |
+
debias: true
|
| 1413 |
+
calibrater:
|
| 1414 |
+
kind: imu
|
| 1415 |
+
seq_name: mouse/yawForward/maxSpeed7p0
|
| 1416 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1417 |
+
config:
|
| 1418 |
+
window_size: ${train.window}
|
| 1419 |
+
step_size: ${train.window}
|
| 1420 |
+
seq:
|
| 1421 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1422 |
+
config:
|
| 1423 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1424 |
+
device: ${meta.device}
|
| 1425 |
+
dtype: ${meta.dtype}
|
| 1426 |
+
acc_sigma: 0.01
|
| 1427 |
+
gyro_sigma: 0.01
|
| 1428 |
+
gravity: 9.81007
|
| 1429 |
+
debias: true
|
| 1430 |
+
calibrater:
|
| 1431 |
+
kind: imu
|
| 1432 |
+
seq_name: bentDice/yawForward/maxSpeed1p0
|
| 1433 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1434 |
+
config:
|
| 1435 |
+
window_size: ${train.window}
|
| 1436 |
+
step_size: ${train.window}
|
| 1437 |
+
seq:
|
| 1438 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1439 |
+
config:
|
| 1440 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1441 |
+
device: ${meta.device}
|
| 1442 |
+
dtype: ${meta.dtype}
|
| 1443 |
+
acc_sigma: 0.01
|
| 1444 |
+
gyro_sigma: 0.01
|
| 1445 |
+
gravity: 9.81007
|
| 1446 |
+
debias: true
|
| 1447 |
+
calibrater:
|
| 1448 |
+
kind: imu
|
| 1449 |
+
seq_name: picasso/yawConstant/maxSpeed3p0
|
| 1450 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1451 |
+
config:
|
| 1452 |
+
window_size: ${train.window}
|
| 1453 |
+
step_size: ${train.window}
|
| 1454 |
+
seq:
|
| 1455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1456 |
+
config:
|
| 1457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1458 |
+
device: ${meta.device}
|
| 1459 |
+
dtype: ${meta.dtype}
|
| 1460 |
+
acc_sigma: 0.01
|
| 1461 |
+
gyro_sigma: 0.01
|
| 1462 |
+
gravity: 9.81007
|
| 1463 |
+
debias: true
|
| 1464 |
+
calibrater:
|
| 1465 |
+
kind: imu
|
| 1466 |
+
seq_name: bentDice/yawForward/maxSpeed3p0
|
| 1467 |
+
network:
|
| 1468 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 1469 |
+
k_list:
|
| 1470 |
+
- 7
|
| 1471 |
+
- 7
|
| 1472 |
+
s_list:
|
| 1473 |
+
- 3
|
| 1474 |
+
- 3
|
| 1475 |
+
p_list:
|
| 1476 |
+
- 3
|
| 1477 |
+
- 3
|
| 1478 |
+
imu_encoder_channels:
|
| 1479 |
+
- 32
|
| 1480 |
+
- 64
|
| 1481 |
+
fusion_dim: 64
|
| 1482 |
+
gru1_hidden: 64
|
| 1483 |
+
gru2_hidden: 128
|
| 1484 |
+
decoder_hidden: 128
|
| 1485 |
+
bidirectional: true
|
| 1486 |
+
num_imus: 1
|
| 1487 |
+
imu_input: raw
|
| 1488 |
+
optimizer:
|
| 1489 |
+
_target_: torch.optim.AdamW
|
| 1490 |
+
lr: ${train.lr}
|
| 1491 |
+
weight_decay: ${train.decay}
|
| 1492 |
+
fused: true
|
| 1493 |
+
scheduler:
|
| 1494 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 1495 |
+
factor: 1.0
|
| 1496 |
+
total_iters: 0
|
| 1497 |
+
loss:
|
| 1498 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 1499 |
+
base_weight: 0.0
|
| 1500 |
+
anchor_weight: 100.0
|
| 1501 |
+
anchor_loss: Huber
|
| 1502 |
+
huber_delta: 0.005
|
| 1503 |
+
cov_anchor_weight: 0.01
|
| 1504 |
+
covaug: true
|
| 1505 |
+
cov_floor: 1.0e-06
|
| 1506 |
+
base:
|
| 1507 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 1508 |
+
dv:
|
| 1509 |
+
- - 1
|
| 1510 |
+
- 1.0
|
| 1511 |
+
modality:
|
| 1512 |
+
use_aux_imu: true
|
| 1513 |
+
use_joints: true
|
| 1514 |
+
train:
|
| 1515 |
+
lr: 0.001
|
| 1516 |
+
decay: 0.001
|
| 1517 |
+
batch: 512
|
| 1518 |
+
labeled_ratio: 0.5
|
| 1519 |
+
num_workers: 0
|
| 1520 |
+
data_ratio: 1.0
|
| 1521 |
+
epoch: 120
|
| 1522 |
+
window: 1024
|
| 1523 |
+
ema: true
|
| 1524 |
+
freeze_bn: false
|
| 1525 |
+
gravity: 9.81007
|
| 1526 |
+
checkpoint_every_epochs: 5
|
| 1527 |
+
eval_plot_every_epochs: 10
|
| 1528 |
+
test_every_epochs: 1
|
| 1529 |
+
max_train_steps: null
|
| 1530 |
+
zupt_weight: 0.0
|
| 1531 |
+
zupt_gate: all
|
| 1532 |
+
zupt_speed_max: 0.02
|
| 1533 |
+
zupt_sched_enable: false
|
| 1534 |
+
zupt_sched_start: null
|
| 1535 |
+
zupt_sched_end: null
|
| 1536 |
+
dv_imu_input: corrected
|
| 1537 |
+
acc_noise_std: 0.0
|
| 1538 |
+
gyro_noise_std: 0.0
|
| 1539 |
+
resume_from: null
|
| 1540 |
+
meta:
|
| 1541 |
+
device: ${as_device:'cuda:0'}
|
| 1542 |
+
dtype: ${as_dtype:'fp32'}
|
| 1543 |
+
wandb:
|
| 1544 |
+
project: SSIO
|
| 1545 |
+
mode: online
|
| 1546 |
+
name: null
|
blackbird/airio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio_imu_only
|
| 119 |
+
- train.epoch=120
|
| 120 |
+
- train.checkpoint_every_epochs=5
|
| 121 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 122 |
+
- dataset@eval_dataset=BlackBird_Valid
|
| 123 |
+
- dataset@test_dataset=BlackBird_Test
|
| 124 |
+
job:
|
| 125 |
+
name: train_step1_ssio
|
| 126 |
+
chdir: false
|
| 127 |
+
override_dirname: dataset@eval_dataset=BlackBird_Valid,dataset@test_dataset=BlackBird_Test,dataset@train_dataset=BlackBird_Train_Randomized,loss=supervised_only,network=airio_imu_only,train.checkpoint_every_epochs=5,train.epoch=120,train.zupt_weight=0.0
|
| 128 |
+
id: ???
|
| 129 |
+
num: ???
|
| 130 |
+
config_name: train_ssio
|
| 131 |
+
env_set: {}
|
| 132 |
+
env_copy: []
|
| 133 |
+
config:
|
| 134 |
+
override_dirname:
|
| 135 |
+
kv_sep: '='
|
| 136 |
+
item_sep: ','
|
| 137 |
+
exclude_keys: []
|
| 138 |
+
runtime:
|
| 139 |
+
version: 1.3.2
|
| 140 |
+
version_base: '1.3'
|
| 141 |
+
cwd: .
|
| 142 |
+
config_sources:
|
| 143 |
+
- path: hydra.conf
|
| 144 |
+
schema: pkg
|
| 145 |
+
provider: hydra
|
| 146 |
+
- path: ./Config
|
| 147 |
+
schema: file
|
| 148 |
+
provider: main
|
| 149 |
+
- path: ./Config
|
| 150 |
+
schema: file
|
| 151 |
+
provider: hydra.searchpath in main
|
| 152 |
+
- path: ''
|
| 153 |
+
schema: structured
|
| 154 |
+
provider: schema
|
| 155 |
+
output_dir: ./experiments/train_ssio/BlackBird_Train_Randomized/20260913_220103
|
| 156 |
+
choices:
|
| 157 |
+
loss: supervised_only
|
| 158 |
+
scheduler: constant
|
| 159 |
+
optimizer: adamw
|
| 160 |
+
network: airio_imu_only
|
| 161 |
+
dataset@test_dataset: BlackBird_Test
|
| 162 |
+
dataset@eval_dataset: BlackBird_Valid
|
| 163 |
+
dataset@train_dataset: BlackBird_Train_Randomized
|
| 164 |
+
hydra/env: default
|
| 165 |
+
hydra/callbacks: null
|
| 166 |
+
hydra/job_logging: default
|
| 167 |
+
hydra/hydra_logging: default
|
| 168 |
+
hydra/hydra_help: default
|
| 169 |
+
hydra/help: default
|
| 170 |
+
hydra/sweeper: basic
|
| 171 |
+
hydra/launcher: basic
|
| 172 |
+
hydra/output: default
|
| 173 |
+
verbose: false
|
blackbird/airio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio_imu_only
|
| 4 |
+
- train.epoch=120
|
| 5 |
+
- train.checkpoint_every_epochs=5
|
| 6 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 7 |
+
- dataset@eval_dataset=BlackBird_Valid
|
| 8 |
+
- dataset@test_dataset=BlackBird_Test
|
blackbird/airio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac3ea372375f98021e1f9d6f88ad0beba20730631c54ef10a68ec58616ffb8cd
|
| 3 |
+
size 1355061
|
blackbird/airio_full/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,1549 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
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|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
gravity: 9.81007
|
| 15 |
+
debias: true
|
| 16 |
+
calibrater:
|
| 17 |
+
kind: imu
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
gravity: 9.81007
|
| 31 |
+
debias: true
|
| 32 |
+
calibrater:
|
| 33 |
+
kind: imu
|
| 34 |
+
seq_name: sid/yawForward/maxSpeed4p0
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
gravity: 9.81007
|
| 47 |
+
debias: true
|
| 48 |
+
calibrater:
|
| 49 |
+
kind: imu
|
| 50 |
+
seq_name: bentDice/yawForward/maxSpeed0p5
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
gravity: 9.81007
|
| 63 |
+
debias: true
|
| 64 |
+
calibrater:
|
| 65 |
+
kind: imu
|
| 66 |
+
seq_name: thrice/yawForward/maxSpeed1p0
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
gravity: 9.81007
|
| 79 |
+
debias: true
|
| 80 |
+
calibrater:
|
| 81 |
+
kind: imu
|
| 82 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed0p5
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
gravity: 9.81007
|
| 95 |
+
debias: true
|
| 96 |
+
calibrater:
|
| 97 |
+
kind: imu
|
| 98 |
+
seq_name: ampersand/yawForward/maxSpeed2p0
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
gravity: 9.81007
|
| 111 |
+
debias: true
|
| 112 |
+
calibrater:
|
| 113 |
+
kind: imu
|
| 114 |
+
seq_name: clover/yawForward/maxSpeed3p0
|
| 115 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 116 |
+
config:
|
| 117 |
+
window_size: ${train.window}
|
| 118 |
+
seq:
|
| 119 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 120 |
+
config:
|
| 121 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 122 |
+
device: ${meta.device}
|
| 123 |
+
dtype: ${meta.dtype}
|
| 124 |
+
acc_sigma: 0.01
|
| 125 |
+
gyro_sigma: 0.01
|
| 126 |
+
gravity: 9.81007
|
| 127 |
+
debias: true
|
| 128 |
+
calibrater:
|
| 129 |
+
kind: imu
|
| 130 |
+
seq_name: ampersand/yawForward/maxSpeed1p0
|
| 131 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 132 |
+
config:
|
| 133 |
+
window_size: ${train.window}
|
| 134 |
+
seq:
|
| 135 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 136 |
+
config:
|
| 137 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 138 |
+
device: ${meta.device}
|
| 139 |
+
dtype: ${meta.dtype}
|
| 140 |
+
acc_sigma: 0.01
|
| 141 |
+
gyro_sigma: 0.01
|
| 142 |
+
gravity: 9.81007
|
| 143 |
+
debias: true
|
| 144 |
+
calibrater:
|
| 145 |
+
kind: imu
|
| 146 |
+
seq_name: winter/yawForward/maxSpeed3p0
|
| 147 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 148 |
+
config:
|
| 149 |
+
window_size: ${train.window}
|
| 150 |
+
seq:
|
| 151 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 152 |
+
config:
|
| 153 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 154 |
+
device: ${meta.device}
|
| 155 |
+
dtype: ${meta.dtype}
|
| 156 |
+
acc_sigma: 0.01
|
| 157 |
+
gyro_sigma: 0.01
|
| 158 |
+
gravity: 9.81007
|
| 159 |
+
debias: true
|
| 160 |
+
calibrater:
|
| 161 |
+
kind: imu
|
| 162 |
+
seq_name: patrick/yawForward/maxSpeed4p0
|
| 163 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 164 |
+
config:
|
| 165 |
+
window_size: ${train.window}
|
| 166 |
+
seq:
|
| 167 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 168 |
+
config:
|
| 169 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 170 |
+
device: ${meta.device}
|
| 171 |
+
dtype: ${meta.dtype}
|
| 172 |
+
acc_sigma: 0.01
|
| 173 |
+
gyro_sigma: 0.01
|
| 174 |
+
gravity: 9.81007
|
| 175 |
+
debias: true
|
| 176 |
+
calibrater:
|
| 177 |
+
kind: imu
|
| 178 |
+
seq_name: mouse/yawForward/maxSpeed5p0
|
| 179 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 180 |
+
config:
|
| 181 |
+
window_size: ${train.window}
|
| 182 |
+
seq:
|
| 183 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 184 |
+
config:
|
| 185 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 186 |
+
device: ${meta.device}
|
| 187 |
+
dtype: ${meta.dtype}
|
| 188 |
+
acc_sigma: 0.01
|
| 189 |
+
gyro_sigma: 0.01
|
| 190 |
+
gravity: 9.81007
|
| 191 |
+
debias: true
|
| 192 |
+
calibrater:
|
| 193 |
+
kind: imu
|
| 194 |
+
seq_name: tiltedThrice/yawForward/maxSpeed5p0
|
| 195 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 196 |
+
config:
|
| 197 |
+
window_size: ${train.window}
|
| 198 |
+
seq:
|
| 199 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 200 |
+
config:
|
| 201 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 202 |
+
device: ${meta.device}
|
| 203 |
+
dtype: ${meta.dtype}
|
| 204 |
+
acc_sigma: 0.01
|
| 205 |
+
gyro_sigma: 0.01
|
| 206 |
+
gravity: 9.81007
|
| 207 |
+
debias: true
|
| 208 |
+
calibrater:
|
| 209 |
+
kind: imu
|
| 210 |
+
seq_name: thrice/yawForward/maxSpeed0p5
|
| 211 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 212 |
+
config:
|
| 213 |
+
window_size: ${train.window}
|
| 214 |
+
seq:
|
| 215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 216 |
+
config:
|
| 217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 218 |
+
device: ${meta.device}
|
| 219 |
+
dtype: ${meta.dtype}
|
| 220 |
+
acc_sigma: 0.01
|
| 221 |
+
gyro_sigma: 0.01
|
| 222 |
+
gravity: 9.81007
|
| 223 |
+
debias: true
|
| 224 |
+
calibrater:
|
| 225 |
+
kind: imu
|
| 226 |
+
seq_name: picasso/yawConstant/maxSpeed5p0
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.01
|
| 237 |
+
gyro_sigma: 0.01
|
| 238 |
+
gravity: 9.81007
|
| 239 |
+
debias: true
|
| 240 |
+
calibrater:
|
| 241 |
+
kind: imu
|
| 242 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed1p0
|
| 243 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 244 |
+
config:
|
| 245 |
+
window_size: ${train.window}
|
| 246 |
+
seq:
|
| 247 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 248 |
+
config:
|
| 249 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 250 |
+
device: ${meta.device}
|
| 251 |
+
dtype: ${meta.dtype}
|
| 252 |
+
acc_sigma: 0.01
|
| 253 |
+
gyro_sigma: 0.01
|
| 254 |
+
gravity: 9.81007
|
| 255 |
+
debias: true
|
| 256 |
+
calibrater:
|
| 257 |
+
kind: imu
|
| 258 |
+
seq_name: sid/yawForward/maxSpeed1p0
|
| 259 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 260 |
+
config:
|
| 261 |
+
window_size: ${train.window}
|
| 262 |
+
seq:
|
| 263 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 264 |
+
config:
|
| 265 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 266 |
+
device: ${meta.device}
|
| 267 |
+
dtype: ${meta.dtype}
|
| 268 |
+
acc_sigma: 0.01
|
| 269 |
+
gyro_sigma: 0.01
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
debias: true
|
| 272 |
+
calibrater:
|
| 273 |
+
kind: imu
|
| 274 |
+
seq_name: dice/yawForward/maxSpeed2p0
|
| 275 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 276 |
+
config:
|
| 277 |
+
window_size: ${train.window}
|
| 278 |
+
seq:
|
| 279 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 280 |
+
config:
|
| 281 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 282 |
+
device: ${meta.device}
|
| 283 |
+
dtype: ${meta.dtype}
|
| 284 |
+
acc_sigma: 0.01
|
| 285 |
+
gyro_sigma: 0.01
|
| 286 |
+
gravity: 9.81007
|
| 287 |
+
debias: true
|
| 288 |
+
calibrater:
|
| 289 |
+
kind: imu
|
| 290 |
+
seq_name: dice/yawForward/maxSpeed1p0
|
| 291 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 292 |
+
config:
|
| 293 |
+
window_size: ${train.window}
|
| 294 |
+
seq:
|
| 295 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 296 |
+
config:
|
| 297 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 298 |
+
device: ${meta.device}
|
| 299 |
+
dtype: ${meta.dtype}
|
| 300 |
+
acc_sigma: 0.01
|
| 301 |
+
gyro_sigma: 0.01
|
| 302 |
+
gravity: 9.81007
|
| 303 |
+
debias: true
|
| 304 |
+
calibrater:
|
| 305 |
+
kind: imu
|
| 306 |
+
seq_name: figure8/yawConstant/maxSpeed0p5
|
| 307 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 308 |
+
config:
|
| 309 |
+
window_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
gravity: 9.81007
|
| 319 |
+
debias: true
|
| 320 |
+
calibrater:
|
| 321 |
+
kind: imu
|
| 322 |
+
seq_name: figure8/yawConstant/maxSpeed5p0
|
| 323 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
seq:
|
| 327 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 328 |
+
config:
|
| 329 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 330 |
+
device: ${meta.device}
|
| 331 |
+
dtype: ${meta.dtype}
|
| 332 |
+
acc_sigma: 0.01
|
| 333 |
+
gyro_sigma: 0.01
|
| 334 |
+
gravity: 9.81007
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
seq_name: winter/yawForward/maxSpeed0p5
|
| 339 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 340 |
+
config:
|
| 341 |
+
window_size: ${train.window}
|
| 342 |
+
seq:
|
| 343 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 344 |
+
config:
|
| 345 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 346 |
+
device: ${meta.device}
|
| 347 |
+
dtype: ${meta.dtype}
|
| 348 |
+
acc_sigma: 0.01
|
| 349 |
+
gyro_sigma: 0.01
|
| 350 |
+
gravity: 9.81007
|
| 351 |
+
debias: true
|
| 352 |
+
calibrater:
|
| 353 |
+
kind: imu
|
| 354 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed4p0
|
| 355 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 356 |
+
config:
|
| 357 |
+
window_size: ${train.window}
|
| 358 |
+
seq:
|
| 359 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 360 |
+
config:
|
| 361 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 362 |
+
device: ${meta.device}
|
| 363 |
+
dtype: ${meta.dtype}
|
| 364 |
+
acc_sigma: 0.01
|
| 365 |
+
gyro_sigma: 0.01
|
| 366 |
+
gravity: 9.81007
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
seq_name: sphinx/yawForward/maxSpeed2p0
|
| 371 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 372 |
+
config:
|
| 373 |
+
window_size: ${train.window}
|
| 374 |
+
seq:
|
| 375 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 376 |
+
config:
|
| 377 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 378 |
+
device: ${meta.device}
|
| 379 |
+
dtype: ${meta.dtype}
|
| 380 |
+
acc_sigma: 0.01
|
| 381 |
+
gyro_sigma: 0.01
|
| 382 |
+
gravity: 9.81007
|
| 383 |
+
debias: true
|
| 384 |
+
calibrater:
|
| 385 |
+
kind: imu
|
| 386 |
+
seq_name: thrice/yawForward/maxSpeed2p0
|
| 387 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 388 |
+
config:
|
| 389 |
+
window_size: ${train.window}
|
| 390 |
+
seq:
|
| 391 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 392 |
+
config:
|
| 393 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 394 |
+
device: ${meta.device}
|
| 395 |
+
dtype: ${meta.dtype}
|
| 396 |
+
acc_sigma: 0.01
|
| 397 |
+
gyro_sigma: 0.01
|
| 398 |
+
gravity: 9.81007
|
| 399 |
+
debias: true
|
| 400 |
+
calibrater:
|
| 401 |
+
kind: imu
|
| 402 |
+
seq_name: thrice/yawForward/maxSpeed6p0
|
| 403 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 404 |
+
config:
|
| 405 |
+
window_size: ${train.window}
|
| 406 |
+
seq:
|
| 407 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 408 |
+
config:
|
| 409 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 410 |
+
device: ${meta.device}
|
| 411 |
+
dtype: ${meta.dtype}
|
| 412 |
+
acc_sigma: 0.01
|
| 413 |
+
gyro_sigma: 0.01
|
| 414 |
+
gravity: 9.81007
|
| 415 |
+
debias: true
|
| 416 |
+
calibrater:
|
| 417 |
+
kind: imu
|
| 418 |
+
seq_name: halfMoon/yawForward/maxSpeed1p5
|
| 419 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 420 |
+
config:
|
| 421 |
+
window_size: ${train.window}
|
| 422 |
+
seq:
|
| 423 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 424 |
+
config:
|
| 425 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 426 |
+
device: ${meta.device}
|
| 427 |
+
dtype: ${meta.dtype}
|
| 428 |
+
acc_sigma: 0.01
|
| 429 |
+
gyro_sigma: 0.01
|
| 430 |
+
gravity: 9.81007
|
| 431 |
+
debias: true
|
| 432 |
+
calibrater:
|
| 433 |
+
kind: imu
|
| 434 |
+
seq_name: figure8/yawConstant/maxSpeed3p25
|
| 435 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 436 |
+
config:
|
| 437 |
+
window_size: ${train.window}
|
| 438 |
+
seq:
|
| 439 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 440 |
+
config:
|
| 441 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 442 |
+
device: ${meta.device}
|
| 443 |
+
dtype: ${meta.dtype}
|
| 444 |
+
acc_sigma: 0.01
|
| 445 |
+
gyro_sigma: 0.01
|
| 446 |
+
gravity: 9.81007
|
| 447 |
+
debias: true
|
| 448 |
+
calibrater:
|
| 449 |
+
kind: imu
|
| 450 |
+
seq_name: thrice/yawForward/maxSpeed4p0
|
| 451 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 452 |
+
config:
|
| 453 |
+
window_size: ${train.window}
|
| 454 |
+
seq:
|
| 455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 456 |
+
config:
|
| 457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 458 |
+
device: ${meta.device}
|
| 459 |
+
dtype: ${meta.dtype}
|
| 460 |
+
acc_sigma: 0.01
|
| 461 |
+
gyro_sigma: 0.01
|
| 462 |
+
gravity: 9.81007
|
| 463 |
+
debias: true
|
| 464 |
+
calibrater:
|
| 465 |
+
kind: imu
|
| 466 |
+
seq_name: winter/yawForward/maxSpeed2p0
|
| 467 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 468 |
+
config:
|
| 469 |
+
window_size: ${train.window}
|
| 470 |
+
seq:
|
| 471 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 472 |
+
config:
|
| 473 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 474 |
+
device: ${meta.device}
|
| 475 |
+
dtype: ${meta.dtype}
|
| 476 |
+
acc_sigma: 0.01
|
| 477 |
+
gyro_sigma: 0.01
|
| 478 |
+
gravity: 9.81007
|
| 479 |
+
debias: true
|
| 480 |
+
calibrater:
|
| 481 |
+
kind: imu
|
| 482 |
+
seq_name: halfMoon/yawForward/maxSpeed1p0
|
| 483 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 484 |
+
config:
|
| 485 |
+
window_size: ${train.window}
|
| 486 |
+
seq:
|
| 487 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 488 |
+
config:
|
| 489 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 490 |
+
device: ${meta.device}
|
| 491 |
+
dtype: ${meta.dtype}
|
| 492 |
+
acc_sigma: 0.01
|
| 493 |
+
gyro_sigma: 0.01
|
| 494 |
+
gravity: 9.81007
|
| 495 |
+
debias: true
|
| 496 |
+
calibrater:
|
| 497 |
+
kind: imu
|
| 498 |
+
seq_name: picasso/yawConstant/maxSpeed4p0
|
| 499 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 500 |
+
config:
|
| 501 |
+
window_size: ${train.window}
|
| 502 |
+
seq:
|
| 503 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 504 |
+
config:
|
| 505 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 506 |
+
device: ${meta.device}
|
| 507 |
+
dtype: ${meta.dtype}
|
| 508 |
+
acc_sigma: 0.01
|
| 509 |
+
gyro_sigma: 0.01
|
| 510 |
+
gravity: 9.81007
|
| 511 |
+
debias: true
|
| 512 |
+
calibrater:
|
| 513 |
+
kind: imu
|
| 514 |
+
seq_name: winter/yawForward/maxSpeed4p0
|
| 515 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 516 |
+
config:
|
| 517 |
+
window_size: ${train.window}
|
| 518 |
+
seq:
|
| 519 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 520 |
+
config:
|
| 521 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 522 |
+
device: ${meta.device}
|
| 523 |
+
dtype: ${meta.dtype}
|
| 524 |
+
acc_sigma: 0.01
|
| 525 |
+
gyro_sigma: 0.01
|
| 526 |
+
gravity: 9.81007
|
| 527 |
+
debias: true
|
| 528 |
+
calibrater:
|
| 529 |
+
kind: imu
|
| 530 |
+
seq_name: sphinx/yawForward/maxSpeed1p0
|
| 531 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 532 |
+
config:
|
| 533 |
+
window_size: ${train.window}
|
| 534 |
+
seq:
|
| 535 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 536 |
+
config:
|
| 537 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 538 |
+
device: ${meta.device}
|
| 539 |
+
dtype: ${meta.dtype}
|
| 540 |
+
acc_sigma: 0.01
|
| 541 |
+
gyro_sigma: 0.01
|
| 542 |
+
gravity: 9.81007
|
| 543 |
+
debias: true
|
| 544 |
+
calibrater:
|
| 545 |
+
kind: imu
|
| 546 |
+
seq_name: picasso/yawConstant/maxSpeed1p0
|
| 547 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 548 |
+
config:
|
| 549 |
+
window_size: ${train.window}
|
| 550 |
+
seq:
|
| 551 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 552 |
+
config:
|
| 553 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 554 |
+
device: ${meta.device}
|
| 555 |
+
dtype: ${meta.dtype}
|
| 556 |
+
acc_sigma: 0.01
|
| 557 |
+
gyro_sigma: 0.01
|
| 558 |
+
gravity: 9.81007
|
| 559 |
+
debias: true
|
| 560 |
+
calibrater:
|
| 561 |
+
kind: imu
|
| 562 |
+
seq_name: mouse/yawForward/maxSpeed4p0
|
| 563 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 564 |
+
config:
|
| 565 |
+
window_size: ${train.window}
|
| 566 |
+
seq:
|
| 567 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 568 |
+
config:
|
| 569 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 570 |
+
device: ${meta.device}
|
| 571 |
+
dtype: ${meta.dtype}
|
| 572 |
+
acc_sigma: 0.01
|
| 573 |
+
gyro_sigma: 0.01
|
| 574 |
+
gravity: 9.81007
|
| 575 |
+
debias: true
|
| 576 |
+
calibrater:
|
| 577 |
+
kind: imu
|
| 578 |
+
seq_name: tiltedThrice/yawForward/maxSpeed6p0
|
| 579 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 580 |
+
config:
|
| 581 |
+
window_size: ${train.window}
|
| 582 |
+
seq:
|
| 583 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 584 |
+
config:
|
| 585 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 586 |
+
device: ${meta.device}
|
| 587 |
+
dtype: ${meta.dtype}
|
| 588 |
+
acc_sigma: 0.01
|
| 589 |
+
gyro_sigma: 0.01
|
| 590 |
+
gravity: 9.81007
|
| 591 |
+
debias: true
|
| 592 |
+
calibrater:
|
| 593 |
+
kind: imu
|
| 594 |
+
seq_name: figure8/yawConstant/maxSpeed2p0
|
| 595 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 596 |
+
config:
|
| 597 |
+
window_size: ${train.window}
|
| 598 |
+
seq:
|
| 599 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 600 |
+
config:
|
| 601 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 602 |
+
device: ${meta.device}
|
| 603 |
+
dtype: ${meta.dtype}
|
| 604 |
+
acc_sigma: 0.01
|
| 605 |
+
gyro_sigma: 0.01
|
| 606 |
+
gravity: 9.81007
|
| 607 |
+
debias: true
|
| 608 |
+
calibrater:
|
| 609 |
+
kind: imu
|
| 610 |
+
seq_name: patrick/yawForward/maxSpeed0p5
|
| 611 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 612 |
+
config:
|
| 613 |
+
window_size: ${train.window}
|
| 614 |
+
seq:
|
| 615 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 616 |
+
config:
|
| 617 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 618 |
+
device: ${meta.device}
|
| 619 |
+
dtype: ${meta.dtype}
|
| 620 |
+
acc_sigma: 0.01
|
| 621 |
+
gyro_sigma: 0.01
|
| 622 |
+
gravity: 9.81007
|
| 623 |
+
debias: true
|
| 624 |
+
calibrater:
|
| 625 |
+
kind: imu
|
| 626 |
+
seq_name: sid/yawForward/maxSpeed5p0
|
| 627 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 628 |
+
config:
|
| 629 |
+
window_size: ${train.window}
|
| 630 |
+
seq:
|
| 631 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 632 |
+
config:
|
| 633 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 634 |
+
device: ${meta.device}
|
| 635 |
+
dtype: ${meta.dtype}
|
| 636 |
+
acc_sigma: 0.01
|
| 637 |
+
gyro_sigma: 0.01
|
| 638 |
+
gravity: 9.81007
|
| 639 |
+
debias: true
|
| 640 |
+
calibrater:
|
| 641 |
+
kind: imu
|
| 642 |
+
seq_name: patrick/yawForward/maxSpeed1p0
|
| 643 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 644 |
+
config:
|
| 645 |
+
window_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.01
|
| 653 |
+
gyro_sigma: 0.01
|
| 654 |
+
gravity: 9.81007
|
| 655 |
+
debias: true
|
| 656 |
+
calibrater:
|
| 657 |
+
kind: imu
|
| 658 |
+
seq_name: tiltedThrice/yawForward/maxSpeed3p0
|
| 659 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 660 |
+
config:
|
| 661 |
+
window_size: ${train.window}
|
| 662 |
+
seq:
|
| 663 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 664 |
+
config:
|
| 665 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 666 |
+
device: ${meta.device}
|
| 667 |
+
dtype: ${meta.dtype}
|
| 668 |
+
acc_sigma: 0.01
|
| 669 |
+
gyro_sigma: 0.01
|
| 670 |
+
gravity: 9.81007
|
| 671 |
+
debias: true
|
| 672 |
+
calibrater:
|
| 673 |
+
kind: imu
|
| 674 |
+
seq_name: oval/yawForward/maxSpeed2p0
|
| 675 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 676 |
+
config:
|
| 677 |
+
window_size: ${train.window}
|
| 678 |
+
seq:
|
| 679 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 680 |
+
config:
|
| 681 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 682 |
+
device: ${meta.device}
|
| 683 |
+
dtype: ${meta.dtype}
|
| 684 |
+
acc_sigma: 0.01
|
| 685 |
+
gyro_sigma: 0.01
|
| 686 |
+
gravity: 9.81007
|
| 687 |
+
debias: true
|
| 688 |
+
calibrater:
|
| 689 |
+
kind: imu
|
| 690 |
+
seq_name: clover/yawForward/maxSpeed4p0
|
| 691 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 692 |
+
config:
|
| 693 |
+
window_size: ${train.window}
|
| 694 |
+
seq:
|
| 695 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 696 |
+
config:
|
| 697 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 698 |
+
device: ${meta.device}
|
| 699 |
+
dtype: ${meta.dtype}
|
| 700 |
+
acc_sigma: 0.01
|
| 701 |
+
gyro_sigma: 0.01
|
| 702 |
+
gravity: 9.81007
|
| 703 |
+
debias: true
|
| 704 |
+
calibrater:
|
| 705 |
+
kind: imu
|
| 706 |
+
seq_name: halfMoon/yawForward/maxSpeed4p0
|
| 707 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 708 |
+
config:
|
| 709 |
+
window_size: ${train.window}
|
| 710 |
+
seq:
|
| 711 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 712 |
+
config:
|
| 713 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 714 |
+
device: ${meta.device}
|
| 715 |
+
dtype: ${meta.dtype}
|
| 716 |
+
acc_sigma: 0.01
|
| 717 |
+
gyro_sigma: 0.01
|
| 718 |
+
gravity: 9.81007
|
| 719 |
+
debias: true
|
| 720 |
+
calibrater:
|
| 721 |
+
kind: imu
|
| 722 |
+
seq_name: sid/yawForward/maxSpeed2p0
|
| 723 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 724 |
+
config:
|
| 725 |
+
window_size: ${train.window}
|
| 726 |
+
seq:
|
| 727 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 728 |
+
config:
|
| 729 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 730 |
+
device: ${meta.device}
|
| 731 |
+
dtype: ${meta.dtype}
|
| 732 |
+
acc_sigma: 0.01
|
| 733 |
+
gyro_sigma: 0.01
|
| 734 |
+
gravity: 9.81007
|
| 735 |
+
debias: true
|
| 736 |
+
calibrater:
|
| 737 |
+
kind: imu
|
| 738 |
+
seq_name: dice/yawForward/maxSpeed3p0
|
| 739 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 740 |
+
config:
|
| 741 |
+
window_size: ${train.window}
|
| 742 |
+
seq:
|
| 743 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 744 |
+
config:
|
| 745 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 746 |
+
device: ${meta.device}
|
| 747 |
+
dtype: ${meta.dtype}
|
| 748 |
+
acc_sigma: 0.01
|
| 749 |
+
gyro_sigma: 0.01
|
| 750 |
+
gravity: 9.81007
|
| 751 |
+
debias: true
|
| 752 |
+
calibrater:
|
| 753 |
+
kind: imu
|
| 754 |
+
seq_name: halfMoon/yawForward/maxSpeed3p0
|
| 755 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 756 |
+
config:
|
| 757 |
+
window_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.01
|
| 765 |
+
gyro_sigma: 0.01
|
| 766 |
+
gravity: 9.81007
|
| 767 |
+
debias: true
|
| 768 |
+
calibrater:
|
| 769 |
+
kind: imu
|
| 770 |
+
seq_name: oval/yawForward/maxSpeed1p0
|
| 771 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 772 |
+
config:
|
| 773 |
+
window_size: ${train.window}
|
| 774 |
+
seq:
|
| 775 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 776 |
+
config:
|
| 777 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 778 |
+
device: ${meta.device}
|
| 779 |
+
dtype: ${meta.dtype}
|
| 780 |
+
acc_sigma: 0.01
|
| 781 |
+
gyro_sigma: 0.01
|
| 782 |
+
gravity: 9.81007
|
| 783 |
+
debias: true
|
| 784 |
+
calibrater:
|
| 785 |
+
kind: imu
|
| 786 |
+
seq_name: sphinx/yawForward/maxSpeed3p0
|
| 787 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 788 |
+
config:
|
| 789 |
+
window_size: ${train.window}
|
| 790 |
+
seq:
|
| 791 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 792 |
+
config:
|
| 793 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 794 |
+
device: ${meta.device}
|
| 795 |
+
dtype: ${meta.dtype}
|
| 796 |
+
acc_sigma: 0.01
|
| 797 |
+
gyro_sigma: 0.01
|
| 798 |
+
gravity: 9.81007
|
| 799 |
+
debias: true
|
| 800 |
+
calibrater:
|
| 801 |
+
kind: imu
|
| 802 |
+
seq_name: thrice/yawForward/maxSpeed3p0
|
| 803 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 804 |
+
config:
|
| 805 |
+
window_size: ${train.window}
|
| 806 |
+
seq:
|
| 807 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 808 |
+
config:
|
| 809 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 810 |
+
device: ${meta.device}
|
| 811 |
+
dtype: ${meta.dtype}
|
| 812 |
+
acc_sigma: 0.01
|
| 813 |
+
gyro_sigma: 0.01
|
| 814 |
+
gravity: 9.81007
|
| 815 |
+
debias: true
|
| 816 |
+
calibrater:
|
| 817 |
+
kind: imu
|
| 818 |
+
seq_name: oval/yawForward/maxSpeed3p0
|
| 819 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 820 |
+
config:
|
| 821 |
+
window_size: ${train.window}
|
| 822 |
+
seq:
|
| 823 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 824 |
+
config:
|
| 825 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 826 |
+
device: ${meta.device}
|
| 827 |
+
dtype: ${meta.dtype}
|
| 828 |
+
acc_sigma: 0.01
|
| 829 |
+
gyro_sigma: 0.01
|
| 830 |
+
gravity: 9.81007
|
| 831 |
+
debias: true
|
| 832 |
+
calibrater:
|
| 833 |
+
kind: imu
|
| 834 |
+
seq_name: star/yawForward/maxSpeed1p0
|
| 835 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 836 |
+
config:
|
| 837 |
+
window_size: ${train.window}
|
| 838 |
+
seq:
|
| 839 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 840 |
+
config:
|
| 841 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 842 |
+
device: ${meta.device}
|
| 843 |
+
dtype: ${meta.dtype}
|
| 844 |
+
acc_sigma: 0.01
|
| 845 |
+
gyro_sigma: 0.01
|
| 846 |
+
gravity: 9.81007
|
| 847 |
+
debias: true
|
| 848 |
+
calibrater:
|
| 849 |
+
kind: imu
|
| 850 |
+
seq_name: mouse/yawForward/maxSpeed0p5
|
| 851 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 852 |
+
config:
|
| 853 |
+
window_size: ${train.window}
|
| 854 |
+
seq:
|
| 855 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 856 |
+
config:
|
| 857 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 858 |
+
device: ${meta.device}
|
| 859 |
+
dtype: ${meta.dtype}
|
| 860 |
+
acc_sigma: 0.01
|
| 861 |
+
gyro_sigma: 0.01
|
| 862 |
+
gravity: 9.81007
|
| 863 |
+
debias: true
|
| 864 |
+
calibrater:
|
| 865 |
+
kind: imu
|
| 866 |
+
seq_name: tiltedThrice/yawForward/maxSpeed0p5
|
| 867 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 868 |
+
config:
|
| 869 |
+
window_size: ${train.window}
|
| 870 |
+
seq:
|
| 871 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 872 |
+
config:
|
| 873 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 874 |
+
device: ${meta.device}
|
| 875 |
+
dtype: ${meta.dtype}
|
| 876 |
+
acc_sigma: 0.01
|
| 877 |
+
gyro_sigma: 0.01
|
| 878 |
+
gravity: 9.81007
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
seq_name: sphinx/yawForward/maxSpeed4p0
|
| 883 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 884 |
+
config:
|
| 885 |
+
window_size: ${train.window}
|
| 886 |
+
seq:
|
| 887 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 888 |
+
config:
|
| 889 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 890 |
+
device: ${meta.device}
|
| 891 |
+
dtype: ${meta.dtype}
|
| 892 |
+
acc_sigma: 0.01
|
| 893 |
+
gyro_sigma: 0.01
|
| 894 |
+
gravity: 9.81007
|
| 895 |
+
debias: true
|
| 896 |
+
calibrater:
|
| 897 |
+
kind: imu
|
| 898 |
+
seq_name: star/yawForward/maxSpeed4p0
|
| 899 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 900 |
+
config:
|
| 901 |
+
window_size: ${train.window}
|
| 902 |
+
seq:
|
| 903 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 904 |
+
config:
|
| 905 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 906 |
+
device: ${meta.device}
|
| 907 |
+
dtype: ${meta.dtype}
|
| 908 |
+
acc_sigma: 0.01
|
| 909 |
+
gyro_sigma: 0.01
|
| 910 |
+
gravity: 9.81007
|
| 911 |
+
debias: true
|
| 912 |
+
calibrater:
|
| 913 |
+
kind: imu
|
| 914 |
+
seq_name: clover/yawForward/maxSpeed0p5
|
| 915 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 916 |
+
config:
|
| 917 |
+
window_size: ${train.window}
|
| 918 |
+
seq:
|
| 919 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 920 |
+
config:
|
| 921 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 922 |
+
device: ${meta.device}
|
| 923 |
+
dtype: ${meta.dtype}
|
| 924 |
+
acc_sigma: 0.01
|
| 925 |
+
gyro_sigma: 0.01
|
| 926 |
+
gravity: 9.81007
|
| 927 |
+
debias: true
|
| 928 |
+
calibrater:
|
| 929 |
+
kind: imu
|
| 930 |
+
seq_name: star/yawForward/maxSpeed2p0
|
| 931 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 932 |
+
config:
|
| 933 |
+
window_size: ${train.window}
|
| 934 |
+
seq:
|
| 935 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 936 |
+
config:
|
| 937 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 938 |
+
device: ${meta.device}
|
| 939 |
+
dtype: ${meta.dtype}
|
| 940 |
+
acc_sigma: 0.01
|
| 941 |
+
gyro_sigma: 0.01
|
| 942 |
+
gravity: 9.81007
|
| 943 |
+
debias: true
|
| 944 |
+
calibrater:
|
| 945 |
+
kind: imu
|
| 946 |
+
seq_name: clover/yawForward/maxSpeed1p0
|
| 947 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 948 |
+
config:
|
| 949 |
+
window_size: ${train.window}
|
| 950 |
+
seq:
|
| 951 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 952 |
+
config:
|
| 953 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 954 |
+
device: ${meta.device}
|
| 955 |
+
dtype: ${meta.dtype}
|
| 956 |
+
acc_sigma: 0.01
|
| 957 |
+
gyro_sigma: 0.01
|
| 958 |
+
gravity: 9.81007
|
| 959 |
+
debias: true
|
| 960 |
+
calibrater:
|
| 961 |
+
kind: imu
|
| 962 |
+
seq_name: clover/yawForward/maxSpeed2p0
|
| 963 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 964 |
+
config:
|
| 965 |
+
window_size: ${train.window}
|
| 966 |
+
seq:
|
| 967 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 968 |
+
config:
|
| 969 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 970 |
+
device: ${meta.device}
|
| 971 |
+
dtype: ${meta.dtype}
|
| 972 |
+
acc_sigma: 0.01
|
| 973 |
+
gyro_sigma: 0.01
|
| 974 |
+
gravity: 9.81007
|
| 975 |
+
debias: true
|
| 976 |
+
calibrater:
|
| 977 |
+
kind: imu
|
| 978 |
+
seq_name: mouse/yawForward/maxSpeed2p0
|
| 979 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 980 |
+
config:
|
| 981 |
+
window_size: ${train.window}
|
| 982 |
+
seq:
|
| 983 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 984 |
+
config:
|
| 985 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 986 |
+
device: ${meta.device}
|
| 987 |
+
dtype: ${meta.dtype}
|
| 988 |
+
acc_sigma: 0.01
|
| 989 |
+
gyro_sigma: 0.01
|
| 990 |
+
gravity: 9.81007
|
| 991 |
+
debias: true
|
| 992 |
+
calibrater:
|
| 993 |
+
kind: imu
|
| 994 |
+
seq_name: sid/yawForward/maxSpeed0p5
|
| 995 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 996 |
+
config:
|
| 997 |
+
window_size: ${train.window}
|
| 998 |
+
seq:
|
| 999 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1000 |
+
config:
|
| 1001 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1002 |
+
device: ${meta.device}
|
| 1003 |
+
dtype: ${meta.dtype}
|
| 1004 |
+
acc_sigma: 0.01
|
| 1005 |
+
gyro_sigma: 0.01
|
| 1006 |
+
gravity: 9.81007
|
| 1007 |
+
debias: true
|
| 1008 |
+
calibrater:
|
| 1009 |
+
kind: imu
|
| 1010 |
+
seq_name: tiltedThrice/yawForward/maxSpeed2p0
|
| 1011 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1012 |
+
config:
|
| 1013 |
+
window_size: ${train.window}
|
| 1014 |
+
seq:
|
| 1015 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1016 |
+
config:
|
| 1017 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1018 |
+
device: ${meta.device}
|
| 1019 |
+
dtype: ${meta.dtype}
|
| 1020 |
+
acc_sigma: 0.01
|
| 1021 |
+
gyro_sigma: 0.01
|
| 1022 |
+
gravity: 9.81007
|
| 1023 |
+
debias: true
|
| 1024 |
+
calibrater:
|
| 1025 |
+
kind: imu
|
| 1026 |
+
seq_name: tiltedThrice/yawForward/maxSpeed1p0
|
| 1027 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1028 |
+
config:
|
| 1029 |
+
window_size: ${train.window}
|
| 1030 |
+
seq:
|
| 1031 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1032 |
+
config:
|
| 1033 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1034 |
+
device: ${meta.device}
|
| 1035 |
+
dtype: ${meta.dtype}
|
| 1036 |
+
acc_sigma: 0.01
|
| 1037 |
+
gyro_sigma: 0.01
|
| 1038 |
+
gravity: 9.81007
|
| 1039 |
+
debias: true
|
| 1040 |
+
calibrater:
|
| 1041 |
+
kind: imu
|
| 1042 |
+
seq_name: thrice/yawForward/maxSpeed5p0
|
| 1043 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1044 |
+
config:
|
| 1045 |
+
window_size: ${train.window}
|
| 1046 |
+
seq:
|
| 1047 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1048 |
+
config:
|
| 1049 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1050 |
+
device: ${meta.device}
|
| 1051 |
+
dtype: ${meta.dtype}
|
| 1052 |
+
acc_sigma: 0.01
|
| 1053 |
+
gyro_sigma: 0.01
|
| 1054 |
+
gravity: 9.81007
|
| 1055 |
+
debias: true
|
| 1056 |
+
calibrater:
|
| 1057 |
+
kind: imu
|
| 1058 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed2p0
|
| 1059 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1060 |
+
config:
|
| 1061 |
+
window_size: ${train.window}
|
| 1062 |
+
seq:
|
| 1063 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1064 |
+
config:
|
| 1065 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1066 |
+
device: ${meta.device}
|
| 1067 |
+
dtype: ${meta.dtype}
|
| 1068 |
+
acc_sigma: 0.01
|
| 1069 |
+
gyro_sigma: 0.01
|
| 1070 |
+
gravity: 9.81007
|
| 1071 |
+
debias: true
|
| 1072 |
+
calibrater:
|
| 1073 |
+
kind: imu
|
| 1074 |
+
seq_name: oval/yawForward/maxSpeed4p0
|
| 1075 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1076 |
+
config:
|
| 1077 |
+
window_size: ${train.window}
|
| 1078 |
+
seq:
|
| 1079 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1080 |
+
config:
|
| 1081 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1082 |
+
device: ${meta.device}
|
| 1083 |
+
dtype: ${meta.dtype}
|
| 1084 |
+
acc_sigma: 0.01
|
| 1085 |
+
gyro_sigma: 0.01
|
| 1086 |
+
gravity: 9.81007
|
| 1087 |
+
debias: true
|
| 1088 |
+
calibrater:
|
| 1089 |
+
kind: imu
|
| 1090 |
+
seq_name: mouse/yawForward/maxSpeed1p0
|
| 1091 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1092 |
+
config:
|
| 1093 |
+
window_size: ${train.window}
|
| 1094 |
+
seq:
|
| 1095 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1096 |
+
config:
|
| 1097 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1098 |
+
device: ${meta.device}
|
| 1099 |
+
dtype: ${meta.dtype}
|
| 1100 |
+
acc_sigma: 0.01
|
| 1101 |
+
gyro_sigma: 0.01
|
| 1102 |
+
gravity: 9.81007
|
| 1103 |
+
debias: true
|
| 1104 |
+
calibrater:
|
| 1105 |
+
kind: imu
|
| 1106 |
+
seq_name: bentDice/yawForward/maxSpeed2p0
|
| 1107 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1108 |
+
config:
|
| 1109 |
+
window_size: ${train.window}
|
| 1110 |
+
seq:
|
| 1111 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1112 |
+
config:
|
| 1113 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1114 |
+
device: ${meta.device}
|
| 1115 |
+
dtype: ${meta.dtype}
|
| 1116 |
+
acc_sigma: 0.01
|
| 1117 |
+
gyro_sigma: 0.01
|
| 1118 |
+
gravity: 9.81007
|
| 1119 |
+
debias: true
|
| 1120 |
+
calibrater:
|
| 1121 |
+
kind: imu
|
| 1122 |
+
seq_name: figure8/yawConstant/maxSpeed1p0
|
| 1123 |
+
eval_dataset:
|
| 1124 |
+
_outer:
|
| 1125 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1126 |
+
config:
|
| 1127 |
+
window_size: ${train.window}
|
| 1128 |
+
step_size: ${train.window}
|
| 1129 |
+
_inner:
|
| 1130 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1131 |
+
_inner_config:
|
| 1132 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1133 |
+
device: ${meta.device}
|
| 1134 |
+
dtype: ${meta.dtype}
|
| 1135 |
+
acc_sigma: 0.01
|
| 1136 |
+
gyro_sigma: 0.01
|
| 1137 |
+
gravity: 9.81007
|
| 1138 |
+
debias: true
|
| 1139 |
+
calibrater:
|
| 1140 |
+
kind: imu
|
| 1141 |
+
sequences:
|
| 1142 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1143 |
+
config:
|
| 1144 |
+
window_size: ${train.window}
|
| 1145 |
+
step_size: ${train.window}
|
| 1146 |
+
seq:
|
| 1147 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1148 |
+
config:
|
| 1149 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1150 |
+
device: ${meta.device}
|
| 1151 |
+
dtype: ${meta.dtype}
|
| 1152 |
+
acc_sigma: 0.01
|
| 1153 |
+
gyro_sigma: 0.01
|
| 1154 |
+
gravity: 9.81007
|
| 1155 |
+
debias: true
|
| 1156 |
+
calibrater:
|
| 1157 |
+
kind: imu
|
| 1158 |
+
seq_name: tiltedThrice/yawForward/maxSpeed4p0
|
| 1159 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1160 |
+
config:
|
| 1161 |
+
window_size: ${train.window}
|
| 1162 |
+
step_size: ${train.window}
|
| 1163 |
+
seq:
|
| 1164 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1165 |
+
config:
|
| 1166 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1167 |
+
device: ${meta.device}
|
| 1168 |
+
dtype: ${meta.dtype}
|
| 1169 |
+
acc_sigma: 0.01
|
| 1170 |
+
gyro_sigma: 0.01
|
| 1171 |
+
gravity: 9.81007
|
| 1172 |
+
debias: true
|
| 1173 |
+
calibrater:
|
| 1174 |
+
kind: imu
|
| 1175 |
+
seq_name: mouse/yawForward/maxSpeed3p0
|
| 1176 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1177 |
+
config:
|
| 1178 |
+
window_size: ${train.window}
|
| 1179 |
+
step_size: ${train.window}
|
| 1180 |
+
seq:
|
| 1181 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1182 |
+
config:
|
| 1183 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1184 |
+
device: ${meta.device}
|
| 1185 |
+
dtype: ${meta.dtype}
|
| 1186 |
+
acc_sigma: 0.01
|
| 1187 |
+
gyro_sigma: 0.01
|
| 1188 |
+
gravity: 9.81007
|
| 1189 |
+
debias: true
|
| 1190 |
+
calibrater:
|
| 1191 |
+
kind: imu
|
| 1192 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed3p0
|
| 1193 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1194 |
+
config:
|
| 1195 |
+
window_size: ${train.window}
|
| 1196 |
+
step_size: ${train.window}
|
| 1197 |
+
seq:
|
| 1198 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1199 |
+
config:
|
| 1200 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1201 |
+
device: ${meta.device}
|
| 1202 |
+
dtype: ${meta.dtype}
|
| 1203 |
+
acc_sigma: 0.01
|
| 1204 |
+
gyro_sigma: 0.01
|
| 1205 |
+
gravity: 9.81007
|
| 1206 |
+
debias: true
|
| 1207 |
+
calibrater:
|
| 1208 |
+
kind: imu
|
| 1209 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed5p0
|
| 1210 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1211 |
+
config:
|
| 1212 |
+
window_size: ${train.window}
|
| 1213 |
+
step_size: ${train.window}
|
| 1214 |
+
seq:
|
| 1215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1216 |
+
config:
|
| 1217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1218 |
+
device: ${meta.device}
|
| 1219 |
+
dtype: ${meta.dtype}
|
| 1220 |
+
acc_sigma: 0.01
|
| 1221 |
+
gyro_sigma: 0.01
|
| 1222 |
+
gravity: 9.81007
|
| 1223 |
+
debias: true
|
| 1224 |
+
calibrater:
|
| 1225 |
+
kind: imu
|
| 1226 |
+
seq_name: sid/yawForward/maxSpeed3p0
|
| 1227 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1228 |
+
config:
|
| 1229 |
+
window_size: ${train.window}
|
| 1230 |
+
step_size: ${train.window}
|
| 1231 |
+
seq:
|
| 1232 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1233 |
+
config:
|
| 1234 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1235 |
+
device: ${meta.device}
|
| 1236 |
+
dtype: ${meta.dtype}
|
| 1237 |
+
acc_sigma: 0.01
|
| 1238 |
+
gyro_sigma: 0.01
|
| 1239 |
+
gravity: 9.81007
|
| 1240 |
+
debias: true
|
| 1241 |
+
calibrater:
|
| 1242 |
+
kind: imu
|
| 1243 |
+
seq_name: halfMoon/yawForward/maxSpeed2p0
|
| 1244 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1245 |
+
config:
|
| 1246 |
+
window_size: ${train.window}
|
| 1247 |
+
step_size: ${train.window}
|
| 1248 |
+
seq:
|
| 1249 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1250 |
+
config:
|
| 1251 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1252 |
+
device: ${meta.device}
|
| 1253 |
+
dtype: ${meta.dtype}
|
| 1254 |
+
acc_sigma: 0.01
|
| 1255 |
+
gyro_sigma: 0.01
|
| 1256 |
+
gravity: 9.81007
|
| 1257 |
+
debias: true
|
| 1258 |
+
calibrater:
|
| 1259 |
+
kind: imu
|
| 1260 |
+
seq_name: star/yawForward/maxSpeed5p0
|
| 1261 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1262 |
+
config:
|
| 1263 |
+
window_size: ${train.window}
|
| 1264 |
+
step_size: ${train.window}
|
| 1265 |
+
seq:
|
| 1266 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1267 |
+
config:
|
| 1268 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1269 |
+
device: ${meta.device}
|
| 1270 |
+
dtype: ${meta.dtype}
|
| 1271 |
+
acc_sigma: 0.01
|
| 1272 |
+
gyro_sigma: 0.01
|
| 1273 |
+
gravity: 9.81007
|
| 1274 |
+
debias: true
|
| 1275 |
+
calibrater:
|
| 1276 |
+
kind: imu
|
| 1277 |
+
seq_name: star/yawForward/maxSpeed3p0
|
| 1278 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1279 |
+
config:
|
| 1280 |
+
window_size: ${train.window}
|
| 1281 |
+
step_size: ${train.window}
|
| 1282 |
+
seq:
|
| 1283 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1284 |
+
config:
|
| 1285 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1286 |
+
device: ${meta.device}
|
| 1287 |
+
dtype: ${meta.dtype}
|
| 1288 |
+
acc_sigma: 0.01
|
| 1289 |
+
gyro_sigma: 0.01
|
| 1290 |
+
gravity: 9.81007
|
| 1291 |
+
debias: true
|
| 1292 |
+
calibrater:
|
| 1293 |
+
kind: imu
|
| 1294 |
+
seq_name: patrick/yawForward/maxSpeed3p0
|
| 1295 |
+
test_dataset:
|
| 1296 |
+
_outer:
|
| 1297 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1298 |
+
config:
|
| 1299 |
+
window_size: ${train.window}
|
| 1300 |
+
step_size: ${train.window}
|
| 1301 |
+
_inner:
|
| 1302 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1303 |
+
_inner_config:
|
| 1304 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1305 |
+
device: ${meta.device}
|
| 1306 |
+
dtype: ${meta.dtype}
|
| 1307 |
+
acc_sigma: 0.01
|
| 1308 |
+
gyro_sigma: 0.01
|
| 1309 |
+
gravity: 9.81007
|
| 1310 |
+
debias: true
|
| 1311 |
+
calibrater:
|
| 1312 |
+
kind: imu
|
| 1313 |
+
sequences:
|
| 1314 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1315 |
+
config:
|
| 1316 |
+
window_size: ${train.window}
|
| 1317 |
+
step_size: ${train.window}
|
| 1318 |
+
seq:
|
| 1319 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1320 |
+
config:
|
| 1321 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1322 |
+
device: ${meta.device}
|
| 1323 |
+
dtype: ${meta.dtype}
|
| 1324 |
+
acc_sigma: 0.01
|
| 1325 |
+
gyro_sigma: 0.01
|
| 1326 |
+
gravity: 9.81007
|
| 1327 |
+
debias: true
|
| 1328 |
+
calibrater:
|
| 1329 |
+
kind: imu
|
| 1330 |
+
seq_name: picasso/yawConstant/maxSpeed6p0
|
| 1331 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1332 |
+
config:
|
| 1333 |
+
window_size: ${train.window}
|
| 1334 |
+
step_size: ${train.window}
|
| 1335 |
+
seq:
|
| 1336 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1337 |
+
config:
|
| 1338 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1339 |
+
device: ${meta.device}
|
| 1340 |
+
dtype: ${meta.dtype}
|
| 1341 |
+
acc_sigma: 0.01
|
| 1342 |
+
gyro_sigma: 0.01
|
| 1343 |
+
gravity: 9.81007
|
| 1344 |
+
debias: true
|
| 1345 |
+
calibrater:
|
| 1346 |
+
kind: imu
|
| 1347 |
+
seq_name: picasso/yawConstant/maxSpeed2p0
|
| 1348 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1349 |
+
config:
|
| 1350 |
+
window_size: ${train.window}
|
| 1351 |
+
step_size: ${train.window}
|
| 1352 |
+
seq:
|
| 1353 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1354 |
+
config:
|
| 1355 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1356 |
+
device: ${meta.device}
|
| 1357 |
+
dtype: ${meta.dtype}
|
| 1358 |
+
acc_sigma: 0.01
|
| 1359 |
+
gyro_sigma: 0.01
|
| 1360 |
+
gravity: 9.81007
|
| 1361 |
+
debias: true
|
| 1362 |
+
calibrater:
|
| 1363 |
+
kind: imu
|
| 1364 |
+
seq_name: egg/yawForward/maxSpeed3p0
|
| 1365 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1366 |
+
config:
|
| 1367 |
+
window_size: ${train.window}
|
| 1368 |
+
step_size: ${train.window}
|
| 1369 |
+
seq:
|
| 1370 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1371 |
+
config:
|
| 1372 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1373 |
+
device: ${meta.device}
|
| 1374 |
+
dtype: ${meta.dtype}
|
| 1375 |
+
acc_sigma: 0.01
|
| 1376 |
+
gyro_sigma: 0.01
|
| 1377 |
+
gravity: 9.81007
|
| 1378 |
+
debias: true
|
| 1379 |
+
calibrater:
|
| 1380 |
+
kind: imu
|
| 1381 |
+
seq_name: clover/yawForward/maxSpeed5p0
|
| 1382 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1383 |
+
config:
|
| 1384 |
+
window_size: ${train.window}
|
| 1385 |
+
step_size: ${train.window}
|
| 1386 |
+
seq:
|
| 1387 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1388 |
+
config:
|
| 1389 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1390 |
+
device: ${meta.device}
|
| 1391 |
+
dtype: ${meta.dtype}
|
| 1392 |
+
acc_sigma: 0.01
|
| 1393 |
+
gyro_sigma: 0.01
|
| 1394 |
+
gravity: 9.81007
|
| 1395 |
+
debias: true
|
| 1396 |
+
calibrater:
|
| 1397 |
+
kind: imu
|
| 1398 |
+
seq_name: mouse/yawForward/maxSpeed6p0
|
| 1399 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1400 |
+
config:
|
| 1401 |
+
window_size: ${train.window}
|
| 1402 |
+
step_size: ${train.window}
|
| 1403 |
+
seq:
|
| 1404 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1405 |
+
config:
|
| 1406 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1407 |
+
device: ${meta.device}
|
| 1408 |
+
dtype: ${meta.dtype}
|
| 1409 |
+
acc_sigma: 0.01
|
| 1410 |
+
gyro_sigma: 0.01
|
| 1411 |
+
gravity: 9.81007
|
| 1412 |
+
debias: true
|
| 1413 |
+
calibrater:
|
| 1414 |
+
kind: imu
|
| 1415 |
+
seq_name: mouse/yawForward/maxSpeed7p0
|
| 1416 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1417 |
+
config:
|
| 1418 |
+
window_size: ${train.window}
|
| 1419 |
+
step_size: ${train.window}
|
| 1420 |
+
seq:
|
| 1421 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1422 |
+
config:
|
| 1423 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1424 |
+
device: ${meta.device}
|
| 1425 |
+
dtype: ${meta.dtype}
|
| 1426 |
+
acc_sigma: 0.01
|
| 1427 |
+
gyro_sigma: 0.01
|
| 1428 |
+
gravity: 9.81007
|
| 1429 |
+
debias: true
|
| 1430 |
+
calibrater:
|
| 1431 |
+
kind: imu
|
| 1432 |
+
seq_name: bentDice/yawForward/maxSpeed1p0
|
| 1433 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1434 |
+
config:
|
| 1435 |
+
window_size: ${train.window}
|
| 1436 |
+
step_size: ${train.window}
|
| 1437 |
+
seq:
|
| 1438 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1439 |
+
config:
|
| 1440 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1441 |
+
device: ${meta.device}
|
| 1442 |
+
dtype: ${meta.dtype}
|
| 1443 |
+
acc_sigma: 0.01
|
| 1444 |
+
gyro_sigma: 0.01
|
| 1445 |
+
gravity: 9.81007
|
| 1446 |
+
debias: true
|
| 1447 |
+
calibrater:
|
| 1448 |
+
kind: imu
|
| 1449 |
+
seq_name: picasso/yawConstant/maxSpeed3p0
|
| 1450 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1451 |
+
config:
|
| 1452 |
+
window_size: ${train.window}
|
| 1453 |
+
step_size: ${train.window}
|
| 1454 |
+
seq:
|
| 1455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1456 |
+
config:
|
| 1457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1458 |
+
device: ${meta.device}
|
| 1459 |
+
dtype: ${meta.dtype}
|
| 1460 |
+
acc_sigma: 0.01
|
| 1461 |
+
gyro_sigma: 0.01
|
| 1462 |
+
gravity: 9.81007
|
| 1463 |
+
debias: true
|
| 1464 |
+
calibrater:
|
| 1465 |
+
kind: imu
|
| 1466 |
+
seq_name: bentDice/yawForward/maxSpeed3p0
|
| 1467 |
+
network:
|
| 1468 |
+
_target_: Model.airio.AirIONetwork
|
| 1469 |
+
k_list:
|
| 1470 |
+
- 7
|
| 1471 |
+
- 7
|
| 1472 |
+
s_list:
|
| 1473 |
+
- 3
|
| 1474 |
+
- 3
|
| 1475 |
+
p_list:
|
| 1476 |
+
- 3
|
| 1477 |
+
- 3
|
| 1478 |
+
imu_encoder_channels:
|
| 1479 |
+
- 32
|
| 1480 |
+
- 64
|
| 1481 |
+
ori_encoder_channels:
|
| 1482 |
+
- 32
|
| 1483 |
+
- 64
|
| 1484 |
+
fusion_dim: 64
|
| 1485 |
+
gru1_hidden: 64
|
| 1486 |
+
gru2_hidden: 128
|
| 1487 |
+
decoder_hidden: 128
|
| 1488 |
+
bidirectional: true
|
| 1489 |
+
num_imus: 1
|
| 1490 |
+
imu_input: raw
|
| 1491 |
+
optimizer:
|
| 1492 |
+
_target_: torch.optim.AdamW
|
| 1493 |
+
lr: ${train.lr}
|
| 1494 |
+
weight_decay: ${train.decay}
|
| 1495 |
+
fused: true
|
| 1496 |
+
scheduler:
|
| 1497 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 1498 |
+
factor: 1.0
|
| 1499 |
+
total_iters: 0
|
| 1500 |
+
loss:
|
| 1501 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 1502 |
+
base_weight: 0.0
|
| 1503 |
+
anchor_weight: 100.0
|
| 1504 |
+
anchor_loss: Huber
|
| 1505 |
+
huber_delta: 0.005
|
| 1506 |
+
cov_anchor_weight: 0.01
|
| 1507 |
+
covaug: true
|
| 1508 |
+
cov_floor: 1.0e-06
|
| 1509 |
+
base:
|
| 1510 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 1511 |
+
dv:
|
| 1512 |
+
- - 1
|
| 1513 |
+
- 1.0
|
| 1514 |
+
modality:
|
| 1515 |
+
use_aux_imu: true
|
| 1516 |
+
use_joints: true
|
| 1517 |
+
train:
|
| 1518 |
+
lr: 0.001
|
| 1519 |
+
decay: 0.001
|
| 1520 |
+
batch: 512
|
| 1521 |
+
labeled_ratio: 0.5
|
| 1522 |
+
num_workers: 0
|
| 1523 |
+
data_ratio: 1.0
|
| 1524 |
+
epoch: 120
|
| 1525 |
+
window: 1024
|
| 1526 |
+
ema: true
|
| 1527 |
+
freeze_bn: false
|
| 1528 |
+
gravity: 9.81007
|
| 1529 |
+
checkpoint_every_epochs: 5
|
| 1530 |
+
eval_plot_every_epochs: 10
|
| 1531 |
+
test_every_epochs: 1
|
| 1532 |
+
max_train_steps: null
|
| 1533 |
+
zupt_weight: 0.0
|
| 1534 |
+
zupt_gate: all
|
| 1535 |
+
zupt_speed_max: 0.02
|
| 1536 |
+
zupt_sched_enable: false
|
| 1537 |
+
zupt_sched_start: null
|
| 1538 |
+
zupt_sched_end: null
|
| 1539 |
+
dv_imu_input: corrected
|
| 1540 |
+
acc_noise_std: 0.0
|
| 1541 |
+
gyro_noise_std: 0.0
|
| 1542 |
+
resume_from: null
|
| 1543 |
+
meta:
|
| 1544 |
+
device: ${as_device:'cuda:0'}
|
| 1545 |
+
dtype: ${as_dtype:'fp32'}
|
| 1546 |
+
wandb:
|
| 1547 |
+
project: SSIO
|
| 1548 |
+
mode: online
|
| 1549 |
+
name: null
|
blackbird/airio_full/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio
|
| 119 |
+
- train.epoch=120
|
| 120 |
+
- train.checkpoint_every_epochs=5
|
| 121 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 122 |
+
- dataset@eval_dataset=BlackBird_Valid
|
| 123 |
+
- dataset@test_dataset=BlackBird_Test
|
| 124 |
+
job:
|
| 125 |
+
name: train_step1_ssio
|
| 126 |
+
chdir: false
|
| 127 |
+
override_dirname: dataset@eval_dataset=BlackBird_Valid,dataset@test_dataset=BlackBird_Test,dataset@train_dataset=BlackBird_Train_Randomized,loss=supervised_only,network=airio,train.checkpoint_every_epochs=5,train.epoch=120,train.zupt_weight=0.0
|
| 128 |
+
id: ???
|
| 129 |
+
num: ???
|
| 130 |
+
config_name: train_ssio
|
| 131 |
+
env_set: {}
|
| 132 |
+
env_copy: []
|
| 133 |
+
config:
|
| 134 |
+
override_dirname:
|
| 135 |
+
kv_sep: '='
|
| 136 |
+
item_sep: ','
|
| 137 |
+
exclude_keys: []
|
| 138 |
+
runtime:
|
| 139 |
+
version: 1.3.2
|
| 140 |
+
version_base: '1.3'
|
| 141 |
+
cwd: .
|
| 142 |
+
config_sources:
|
| 143 |
+
- path: hydra.conf
|
| 144 |
+
schema: pkg
|
| 145 |
+
provider: hydra
|
| 146 |
+
- path: ./Config
|
| 147 |
+
schema: file
|
| 148 |
+
provider: main
|
| 149 |
+
- path: ./Config
|
| 150 |
+
schema: file
|
| 151 |
+
provider: hydra.searchpath in main
|
| 152 |
+
- path: ''
|
| 153 |
+
schema: structured
|
| 154 |
+
provider: schema
|
| 155 |
+
output_dir: ./experiments/train_ssio/BlackBird_Train_Randomized/20260913_214725
|
| 156 |
+
choices:
|
| 157 |
+
loss: supervised_only
|
| 158 |
+
scheduler: constant
|
| 159 |
+
optimizer: adamw
|
| 160 |
+
network: airio
|
| 161 |
+
dataset@test_dataset: BlackBird_Test
|
| 162 |
+
dataset@eval_dataset: BlackBird_Valid
|
| 163 |
+
dataset@train_dataset: BlackBird_Train_Randomized
|
| 164 |
+
hydra/env: default
|
| 165 |
+
hydra/callbacks: null
|
| 166 |
+
hydra/job_logging: default
|
| 167 |
+
hydra/hydra_logging: default
|
| 168 |
+
hydra/hydra_help: default
|
| 169 |
+
hydra/help: default
|
| 170 |
+
hydra/sweeper: basic
|
| 171 |
+
hydra/launcher: basic
|
| 172 |
+
hydra/output: default
|
| 173 |
+
verbose: false
|
blackbird/airio_full/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio
|
| 4 |
+
- train.epoch=120
|
| 5 |
+
- train.checkpoint_every_epochs=5
|
| 6 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 7 |
+
- dataset@eval_dataset=BlackBird_Valid
|
| 8 |
+
- dataset@test_dataset=BlackBird_Test
|
blackbird/airio_full/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c98250c81154687d8131b43498d55372e8fb87773d57204ce6dbe0f2b1613eb3
|
| 3 |
+
size 1438197
|
blackbird/ssio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,1543 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
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|
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|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
gravity: 9.81007
|
| 15 |
+
debias: true
|
| 16 |
+
calibrater:
|
| 17 |
+
kind: imu
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
gravity: 9.81007
|
| 31 |
+
debias: true
|
| 32 |
+
calibrater:
|
| 33 |
+
kind: imu
|
| 34 |
+
seq_name: sid/yawForward/maxSpeed4p0
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
gravity: 9.81007
|
| 47 |
+
debias: true
|
| 48 |
+
calibrater:
|
| 49 |
+
kind: imu
|
| 50 |
+
seq_name: bentDice/yawForward/maxSpeed0p5
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
gravity: 9.81007
|
| 63 |
+
debias: true
|
| 64 |
+
calibrater:
|
| 65 |
+
kind: imu
|
| 66 |
+
seq_name: thrice/yawForward/maxSpeed1p0
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
gravity: 9.81007
|
| 79 |
+
debias: true
|
| 80 |
+
calibrater:
|
| 81 |
+
kind: imu
|
| 82 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed0p5
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
gravity: 9.81007
|
| 95 |
+
debias: true
|
| 96 |
+
calibrater:
|
| 97 |
+
kind: imu
|
| 98 |
+
seq_name: ampersand/yawForward/maxSpeed2p0
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
gravity: 9.81007
|
| 111 |
+
debias: true
|
| 112 |
+
calibrater:
|
| 113 |
+
kind: imu
|
| 114 |
+
seq_name: clover/yawForward/maxSpeed3p0
|
| 115 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 116 |
+
config:
|
| 117 |
+
window_size: ${train.window}
|
| 118 |
+
seq:
|
| 119 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 120 |
+
config:
|
| 121 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 122 |
+
device: ${meta.device}
|
| 123 |
+
dtype: ${meta.dtype}
|
| 124 |
+
acc_sigma: 0.01
|
| 125 |
+
gyro_sigma: 0.01
|
| 126 |
+
gravity: 9.81007
|
| 127 |
+
debias: true
|
| 128 |
+
calibrater:
|
| 129 |
+
kind: imu
|
| 130 |
+
seq_name: ampersand/yawForward/maxSpeed1p0
|
| 131 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 132 |
+
config:
|
| 133 |
+
window_size: ${train.window}
|
| 134 |
+
seq:
|
| 135 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 136 |
+
config:
|
| 137 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 138 |
+
device: ${meta.device}
|
| 139 |
+
dtype: ${meta.dtype}
|
| 140 |
+
acc_sigma: 0.01
|
| 141 |
+
gyro_sigma: 0.01
|
| 142 |
+
gravity: 9.81007
|
| 143 |
+
debias: true
|
| 144 |
+
calibrater:
|
| 145 |
+
kind: imu
|
| 146 |
+
seq_name: winter/yawForward/maxSpeed3p0
|
| 147 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 148 |
+
config:
|
| 149 |
+
window_size: ${train.window}
|
| 150 |
+
seq:
|
| 151 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 152 |
+
config:
|
| 153 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 154 |
+
device: ${meta.device}
|
| 155 |
+
dtype: ${meta.dtype}
|
| 156 |
+
acc_sigma: 0.01
|
| 157 |
+
gyro_sigma: 0.01
|
| 158 |
+
gravity: 9.81007
|
| 159 |
+
debias: true
|
| 160 |
+
calibrater:
|
| 161 |
+
kind: imu
|
| 162 |
+
seq_name: patrick/yawForward/maxSpeed4p0
|
| 163 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 164 |
+
config:
|
| 165 |
+
window_size: ${train.window}
|
| 166 |
+
seq:
|
| 167 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 168 |
+
config:
|
| 169 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 170 |
+
device: ${meta.device}
|
| 171 |
+
dtype: ${meta.dtype}
|
| 172 |
+
acc_sigma: 0.01
|
| 173 |
+
gyro_sigma: 0.01
|
| 174 |
+
gravity: 9.81007
|
| 175 |
+
debias: true
|
| 176 |
+
calibrater:
|
| 177 |
+
kind: imu
|
| 178 |
+
seq_name: mouse/yawForward/maxSpeed5p0
|
| 179 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 180 |
+
config:
|
| 181 |
+
window_size: ${train.window}
|
| 182 |
+
seq:
|
| 183 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 184 |
+
config:
|
| 185 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 186 |
+
device: ${meta.device}
|
| 187 |
+
dtype: ${meta.dtype}
|
| 188 |
+
acc_sigma: 0.01
|
| 189 |
+
gyro_sigma: 0.01
|
| 190 |
+
gravity: 9.81007
|
| 191 |
+
debias: true
|
| 192 |
+
calibrater:
|
| 193 |
+
kind: imu
|
| 194 |
+
seq_name: tiltedThrice/yawForward/maxSpeed5p0
|
| 195 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 196 |
+
config:
|
| 197 |
+
window_size: ${train.window}
|
| 198 |
+
seq:
|
| 199 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 200 |
+
config:
|
| 201 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 202 |
+
device: ${meta.device}
|
| 203 |
+
dtype: ${meta.dtype}
|
| 204 |
+
acc_sigma: 0.01
|
| 205 |
+
gyro_sigma: 0.01
|
| 206 |
+
gravity: 9.81007
|
| 207 |
+
debias: true
|
| 208 |
+
calibrater:
|
| 209 |
+
kind: imu
|
| 210 |
+
seq_name: thrice/yawForward/maxSpeed0p5
|
| 211 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 212 |
+
config:
|
| 213 |
+
window_size: ${train.window}
|
| 214 |
+
seq:
|
| 215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 216 |
+
config:
|
| 217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 218 |
+
device: ${meta.device}
|
| 219 |
+
dtype: ${meta.dtype}
|
| 220 |
+
acc_sigma: 0.01
|
| 221 |
+
gyro_sigma: 0.01
|
| 222 |
+
gravity: 9.81007
|
| 223 |
+
debias: true
|
| 224 |
+
calibrater:
|
| 225 |
+
kind: imu
|
| 226 |
+
seq_name: picasso/yawConstant/maxSpeed5p0
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.01
|
| 237 |
+
gyro_sigma: 0.01
|
| 238 |
+
gravity: 9.81007
|
| 239 |
+
debias: true
|
| 240 |
+
calibrater:
|
| 241 |
+
kind: imu
|
| 242 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed1p0
|
| 243 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 244 |
+
config:
|
| 245 |
+
window_size: ${train.window}
|
| 246 |
+
seq:
|
| 247 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 248 |
+
config:
|
| 249 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 250 |
+
device: ${meta.device}
|
| 251 |
+
dtype: ${meta.dtype}
|
| 252 |
+
acc_sigma: 0.01
|
| 253 |
+
gyro_sigma: 0.01
|
| 254 |
+
gravity: 9.81007
|
| 255 |
+
debias: true
|
| 256 |
+
calibrater:
|
| 257 |
+
kind: imu
|
| 258 |
+
seq_name: sid/yawForward/maxSpeed1p0
|
| 259 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 260 |
+
config:
|
| 261 |
+
window_size: ${train.window}
|
| 262 |
+
seq:
|
| 263 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 264 |
+
config:
|
| 265 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 266 |
+
device: ${meta.device}
|
| 267 |
+
dtype: ${meta.dtype}
|
| 268 |
+
acc_sigma: 0.01
|
| 269 |
+
gyro_sigma: 0.01
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
debias: true
|
| 272 |
+
calibrater:
|
| 273 |
+
kind: imu
|
| 274 |
+
seq_name: dice/yawForward/maxSpeed2p0
|
| 275 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 276 |
+
config:
|
| 277 |
+
window_size: ${train.window}
|
| 278 |
+
seq:
|
| 279 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 280 |
+
config:
|
| 281 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 282 |
+
device: ${meta.device}
|
| 283 |
+
dtype: ${meta.dtype}
|
| 284 |
+
acc_sigma: 0.01
|
| 285 |
+
gyro_sigma: 0.01
|
| 286 |
+
gravity: 9.81007
|
| 287 |
+
debias: true
|
| 288 |
+
calibrater:
|
| 289 |
+
kind: imu
|
| 290 |
+
seq_name: dice/yawForward/maxSpeed1p0
|
| 291 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 292 |
+
config:
|
| 293 |
+
window_size: ${train.window}
|
| 294 |
+
seq:
|
| 295 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 296 |
+
config:
|
| 297 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 298 |
+
device: ${meta.device}
|
| 299 |
+
dtype: ${meta.dtype}
|
| 300 |
+
acc_sigma: 0.01
|
| 301 |
+
gyro_sigma: 0.01
|
| 302 |
+
gravity: 9.81007
|
| 303 |
+
debias: true
|
| 304 |
+
calibrater:
|
| 305 |
+
kind: imu
|
| 306 |
+
seq_name: figure8/yawConstant/maxSpeed0p5
|
| 307 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 308 |
+
config:
|
| 309 |
+
window_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
gravity: 9.81007
|
| 319 |
+
debias: true
|
| 320 |
+
calibrater:
|
| 321 |
+
kind: imu
|
| 322 |
+
seq_name: figure8/yawConstant/maxSpeed5p0
|
| 323 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
seq:
|
| 327 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 328 |
+
config:
|
| 329 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 330 |
+
device: ${meta.device}
|
| 331 |
+
dtype: ${meta.dtype}
|
| 332 |
+
acc_sigma: 0.01
|
| 333 |
+
gyro_sigma: 0.01
|
| 334 |
+
gravity: 9.81007
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
seq_name: winter/yawForward/maxSpeed0p5
|
| 339 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 340 |
+
config:
|
| 341 |
+
window_size: ${train.window}
|
| 342 |
+
seq:
|
| 343 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 344 |
+
config:
|
| 345 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 346 |
+
device: ${meta.device}
|
| 347 |
+
dtype: ${meta.dtype}
|
| 348 |
+
acc_sigma: 0.01
|
| 349 |
+
gyro_sigma: 0.01
|
| 350 |
+
gravity: 9.81007
|
| 351 |
+
debias: true
|
| 352 |
+
calibrater:
|
| 353 |
+
kind: imu
|
| 354 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed4p0
|
| 355 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 356 |
+
config:
|
| 357 |
+
window_size: ${train.window}
|
| 358 |
+
seq:
|
| 359 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 360 |
+
config:
|
| 361 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 362 |
+
device: ${meta.device}
|
| 363 |
+
dtype: ${meta.dtype}
|
| 364 |
+
acc_sigma: 0.01
|
| 365 |
+
gyro_sigma: 0.01
|
| 366 |
+
gravity: 9.81007
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
seq_name: sphinx/yawForward/maxSpeed2p0
|
| 371 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 372 |
+
config:
|
| 373 |
+
window_size: ${train.window}
|
| 374 |
+
seq:
|
| 375 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 376 |
+
config:
|
| 377 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 378 |
+
device: ${meta.device}
|
| 379 |
+
dtype: ${meta.dtype}
|
| 380 |
+
acc_sigma: 0.01
|
| 381 |
+
gyro_sigma: 0.01
|
| 382 |
+
gravity: 9.81007
|
| 383 |
+
debias: true
|
| 384 |
+
calibrater:
|
| 385 |
+
kind: imu
|
| 386 |
+
seq_name: thrice/yawForward/maxSpeed2p0
|
| 387 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 388 |
+
config:
|
| 389 |
+
window_size: ${train.window}
|
| 390 |
+
seq:
|
| 391 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 392 |
+
config:
|
| 393 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 394 |
+
device: ${meta.device}
|
| 395 |
+
dtype: ${meta.dtype}
|
| 396 |
+
acc_sigma: 0.01
|
| 397 |
+
gyro_sigma: 0.01
|
| 398 |
+
gravity: 9.81007
|
| 399 |
+
debias: true
|
| 400 |
+
calibrater:
|
| 401 |
+
kind: imu
|
| 402 |
+
seq_name: thrice/yawForward/maxSpeed6p0
|
| 403 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 404 |
+
config:
|
| 405 |
+
window_size: ${train.window}
|
| 406 |
+
seq:
|
| 407 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 408 |
+
config:
|
| 409 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 410 |
+
device: ${meta.device}
|
| 411 |
+
dtype: ${meta.dtype}
|
| 412 |
+
acc_sigma: 0.01
|
| 413 |
+
gyro_sigma: 0.01
|
| 414 |
+
gravity: 9.81007
|
| 415 |
+
debias: true
|
| 416 |
+
calibrater:
|
| 417 |
+
kind: imu
|
| 418 |
+
seq_name: halfMoon/yawForward/maxSpeed1p5
|
| 419 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 420 |
+
config:
|
| 421 |
+
window_size: ${train.window}
|
| 422 |
+
seq:
|
| 423 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 424 |
+
config:
|
| 425 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 426 |
+
device: ${meta.device}
|
| 427 |
+
dtype: ${meta.dtype}
|
| 428 |
+
acc_sigma: 0.01
|
| 429 |
+
gyro_sigma: 0.01
|
| 430 |
+
gravity: 9.81007
|
| 431 |
+
debias: true
|
| 432 |
+
calibrater:
|
| 433 |
+
kind: imu
|
| 434 |
+
seq_name: figure8/yawConstant/maxSpeed3p25
|
| 435 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 436 |
+
config:
|
| 437 |
+
window_size: ${train.window}
|
| 438 |
+
seq:
|
| 439 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 440 |
+
config:
|
| 441 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 442 |
+
device: ${meta.device}
|
| 443 |
+
dtype: ${meta.dtype}
|
| 444 |
+
acc_sigma: 0.01
|
| 445 |
+
gyro_sigma: 0.01
|
| 446 |
+
gravity: 9.81007
|
| 447 |
+
debias: true
|
| 448 |
+
calibrater:
|
| 449 |
+
kind: imu
|
| 450 |
+
seq_name: thrice/yawForward/maxSpeed4p0
|
| 451 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 452 |
+
config:
|
| 453 |
+
window_size: ${train.window}
|
| 454 |
+
seq:
|
| 455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 456 |
+
config:
|
| 457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 458 |
+
device: ${meta.device}
|
| 459 |
+
dtype: ${meta.dtype}
|
| 460 |
+
acc_sigma: 0.01
|
| 461 |
+
gyro_sigma: 0.01
|
| 462 |
+
gravity: 9.81007
|
| 463 |
+
debias: true
|
| 464 |
+
calibrater:
|
| 465 |
+
kind: imu
|
| 466 |
+
seq_name: winter/yawForward/maxSpeed2p0
|
| 467 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 468 |
+
config:
|
| 469 |
+
window_size: ${train.window}
|
| 470 |
+
seq:
|
| 471 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 472 |
+
config:
|
| 473 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 474 |
+
device: ${meta.device}
|
| 475 |
+
dtype: ${meta.dtype}
|
| 476 |
+
acc_sigma: 0.01
|
| 477 |
+
gyro_sigma: 0.01
|
| 478 |
+
gravity: 9.81007
|
| 479 |
+
debias: true
|
| 480 |
+
calibrater:
|
| 481 |
+
kind: imu
|
| 482 |
+
seq_name: halfMoon/yawForward/maxSpeed1p0
|
| 483 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 484 |
+
config:
|
| 485 |
+
window_size: ${train.window}
|
| 486 |
+
seq:
|
| 487 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 488 |
+
config:
|
| 489 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 490 |
+
device: ${meta.device}
|
| 491 |
+
dtype: ${meta.dtype}
|
| 492 |
+
acc_sigma: 0.01
|
| 493 |
+
gyro_sigma: 0.01
|
| 494 |
+
gravity: 9.81007
|
| 495 |
+
debias: true
|
| 496 |
+
calibrater:
|
| 497 |
+
kind: imu
|
| 498 |
+
seq_name: picasso/yawConstant/maxSpeed4p0
|
| 499 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 500 |
+
config:
|
| 501 |
+
window_size: ${train.window}
|
| 502 |
+
seq:
|
| 503 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 504 |
+
config:
|
| 505 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 506 |
+
device: ${meta.device}
|
| 507 |
+
dtype: ${meta.dtype}
|
| 508 |
+
acc_sigma: 0.01
|
| 509 |
+
gyro_sigma: 0.01
|
| 510 |
+
gravity: 9.81007
|
| 511 |
+
debias: true
|
| 512 |
+
calibrater:
|
| 513 |
+
kind: imu
|
| 514 |
+
seq_name: winter/yawForward/maxSpeed4p0
|
| 515 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 516 |
+
config:
|
| 517 |
+
window_size: ${train.window}
|
| 518 |
+
seq:
|
| 519 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 520 |
+
config:
|
| 521 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 522 |
+
device: ${meta.device}
|
| 523 |
+
dtype: ${meta.dtype}
|
| 524 |
+
acc_sigma: 0.01
|
| 525 |
+
gyro_sigma: 0.01
|
| 526 |
+
gravity: 9.81007
|
| 527 |
+
debias: true
|
| 528 |
+
calibrater:
|
| 529 |
+
kind: imu
|
| 530 |
+
seq_name: sphinx/yawForward/maxSpeed1p0
|
| 531 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 532 |
+
config:
|
| 533 |
+
window_size: ${train.window}
|
| 534 |
+
seq:
|
| 535 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 536 |
+
config:
|
| 537 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 538 |
+
device: ${meta.device}
|
| 539 |
+
dtype: ${meta.dtype}
|
| 540 |
+
acc_sigma: 0.01
|
| 541 |
+
gyro_sigma: 0.01
|
| 542 |
+
gravity: 9.81007
|
| 543 |
+
debias: true
|
| 544 |
+
calibrater:
|
| 545 |
+
kind: imu
|
| 546 |
+
seq_name: picasso/yawConstant/maxSpeed1p0
|
| 547 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 548 |
+
config:
|
| 549 |
+
window_size: ${train.window}
|
| 550 |
+
seq:
|
| 551 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 552 |
+
config:
|
| 553 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 554 |
+
device: ${meta.device}
|
| 555 |
+
dtype: ${meta.dtype}
|
| 556 |
+
acc_sigma: 0.01
|
| 557 |
+
gyro_sigma: 0.01
|
| 558 |
+
gravity: 9.81007
|
| 559 |
+
debias: true
|
| 560 |
+
calibrater:
|
| 561 |
+
kind: imu
|
| 562 |
+
seq_name: mouse/yawForward/maxSpeed4p0
|
| 563 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 564 |
+
config:
|
| 565 |
+
window_size: ${train.window}
|
| 566 |
+
seq:
|
| 567 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 568 |
+
config:
|
| 569 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 570 |
+
device: ${meta.device}
|
| 571 |
+
dtype: ${meta.dtype}
|
| 572 |
+
acc_sigma: 0.01
|
| 573 |
+
gyro_sigma: 0.01
|
| 574 |
+
gravity: 9.81007
|
| 575 |
+
debias: true
|
| 576 |
+
calibrater:
|
| 577 |
+
kind: imu
|
| 578 |
+
seq_name: tiltedThrice/yawForward/maxSpeed6p0
|
| 579 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 580 |
+
config:
|
| 581 |
+
window_size: ${train.window}
|
| 582 |
+
seq:
|
| 583 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 584 |
+
config:
|
| 585 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 586 |
+
device: ${meta.device}
|
| 587 |
+
dtype: ${meta.dtype}
|
| 588 |
+
acc_sigma: 0.01
|
| 589 |
+
gyro_sigma: 0.01
|
| 590 |
+
gravity: 9.81007
|
| 591 |
+
debias: true
|
| 592 |
+
calibrater:
|
| 593 |
+
kind: imu
|
| 594 |
+
seq_name: figure8/yawConstant/maxSpeed2p0
|
| 595 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 596 |
+
config:
|
| 597 |
+
window_size: ${train.window}
|
| 598 |
+
seq:
|
| 599 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 600 |
+
config:
|
| 601 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 602 |
+
device: ${meta.device}
|
| 603 |
+
dtype: ${meta.dtype}
|
| 604 |
+
acc_sigma: 0.01
|
| 605 |
+
gyro_sigma: 0.01
|
| 606 |
+
gravity: 9.81007
|
| 607 |
+
debias: true
|
| 608 |
+
calibrater:
|
| 609 |
+
kind: imu
|
| 610 |
+
seq_name: patrick/yawForward/maxSpeed0p5
|
| 611 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 612 |
+
config:
|
| 613 |
+
window_size: ${train.window}
|
| 614 |
+
seq:
|
| 615 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 616 |
+
config:
|
| 617 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 618 |
+
device: ${meta.device}
|
| 619 |
+
dtype: ${meta.dtype}
|
| 620 |
+
acc_sigma: 0.01
|
| 621 |
+
gyro_sigma: 0.01
|
| 622 |
+
gravity: 9.81007
|
| 623 |
+
debias: true
|
| 624 |
+
calibrater:
|
| 625 |
+
kind: imu
|
| 626 |
+
seq_name: sid/yawForward/maxSpeed5p0
|
| 627 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 628 |
+
config:
|
| 629 |
+
window_size: ${train.window}
|
| 630 |
+
seq:
|
| 631 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 632 |
+
config:
|
| 633 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 634 |
+
device: ${meta.device}
|
| 635 |
+
dtype: ${meta.dtype}
|
| 636 |
+
acc_sigma: 0.01
|
| 637 |
+
gyro_sigma: 0.01
|
| 638 |
+
gravity: 9.81007
|
| 639 |
+
debias: true
|
| 640 |
+
calibrater:
|
| 641 |
+
kind: imu
|
| 642 |
+
seq_name: patrick/yawForward/maxSpeed1p0
|
| 643 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 644 |
+
config:
|
| 645 |
+
window_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.01
|
| 653 |
+
gyro_sigma: 0.01
|
| 654 |
+
gravity: 9.81007
|
| 655 |
+
debias: true
|
| 656 |
+
calibrater:
|
| 657 |
+
kind: imu
|
| 658 |
+
seq_name: tiltedThrice/yawForward/maxSpeed3p0
|
| 659 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 660 |
+
config:
|
| 661 |
+
window_size: ${train.window}
|
| 662 |
+
seq:
|
| 663 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 664 |
+
config:
|
| 665 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 666 |
+
device: ${meta.device}
|
| 667 |
+
dtype: ${meta.dtype}
|
| 668 |
+
acc_sigma: 0.01
|
| 669 |
+
gyro_sigma: 0.01
|
| 670 |
+
gravity: 9.81007
|
| 671 |
+
debias: true
|
| 672 |
+
calibrater:
|
| 673 |
+
kind: imu
|
| 674 |
+
seq_name: oval/yawForward/maxSpeed2p0
|
| 675 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 676 |
+
config:
|
| 677 |
+
window_size: ${train.window}
|
| 678 |
+
seq:
|
| 679 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 680 |
+
config:
|
| 681 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 682 |
+
device: ${meta.device}
|
| 683 |
+
dtype: ${meta.dtype}
|
| 684 |
+
acc_sigma: 0.01
|
| 685 |
+
gyro_sigma: 0.01
|
| 686 |
+
gravity: 9.81007
|
| 687 |
+
debias: true
|
| 688 |
+
calibrater:
|
| 689 |
+
kind: imu
|
| 690 |
+
seq_name: clover/yawForward/maxSpeed4p0
|
| 691 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 692 |
+
config:
|
| 693 |
+
window_size: ${train.window}
|
| 694 |
+
seq:
|
| 695 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 696 |
+
config:
|
| 697 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 698 |
+
device: ${meta.device}
|
| 699 |
+
dtype: ${meta.dtype}
|
| 700 |
+
acc_sigma: 0.01
|
| 701 |
+
gyro_sigma: 0.01
|
| 702 |
+
gravity: 9.81007
|
| 703 |
+
debias: true
|
| 704 |
+
calibrater:
|
| 705 |
+
kind: imu
|
| 706 |
+
seq_name: halfMoon/yawForward/maxSpeed4p0
|
| 707 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 708 |
+
config:
|
| 709 |
+
window_size: ${train.window}
|
| 710 |
+
seq:
|
| 711 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 712 |
+
config:
|
| 713 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 714 |
+
device: ${meta.device}
|
| 715 |
+
dtype: ${meta.dtype}
|
| 716 |
+
acc_sigma: 0.01
|
| 717 |
+
gyro_sigma: 0.01
|
| 718 |
+
gravity: 9.81007
|
| 719 |
+
debias: true
|
| 720 |
+
calibrater:
|
| 721 |
+
kind: imu
|
| 722 |
+
seq_name: sid/yawForward/maxSpeed2p0
|
| 723 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 724 |
+
config:
|
| 725 |
+
window_size: ${train.window}
|
| 726 |
+
seq:
|
| 727 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 728 |
+
config:
|
| 729 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 730 |
+
device: ${meta.device}
|
| 731 |
+
dtype: ${meta.dtype}
|
| 732 |
+
acc_sigma: 0.01
|
| 733 |
+
gyro_sigma: 0.01
|
| 734 |
+
gravity: 9.81007
|
| 735 |
+
debias: true
|
| 736 |
+
calibrater:
|
| 737 |
+
kind: imu
|
| 738 |
+
seq_name: dice/yawForward/maxSpeed3p0
|
| 739 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 740 |
+
config:
|
| 741 |
+
window_size: ${train.window}
|
| 742 |
+
seq:
|
| 743 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 744 |
+
config:
|
| 745 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 746 |
+
device: ${meta.device}
|
| 747 |
+
dtype: ${meta.dtype}
|
| 748 |
+
acc_sigma: 0.01
|
| 749 |
+
gyro_sigma: 0.01
|
| 750 |
+
gravity: 9.81007
|
| 751 |
+
debias: true
|
| 752 |
+
calibrater:
|
| 753 |
+
kind: imu
|
| 754 |
+
seq_name: halfMoon/yawForward/maxSpeed3p0
|
| 755 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 756 |
+
config:
|
| 757 |
+
window_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.01
|
| 765 |
+
gyro_sigma: 0.01
|
| 766 |
+
gravity: 9.81007
|
| 767 |
+
debias: true
|
| 768 |
+
calibrater:
|
| 769 |
+
kind: imu
|
| 770 |
+
seq_name: oval/yawForward/maxSpeed1p0
|
| 771 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 772 |
+
config:
|
| 773 |
+
window_size: ${train.window}
|
| 774 |
+
seq:
|
| 775 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 776 |
+
config:
|
| 777 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 778 |
+
device: ${meta.device}
|
| 779 |
+
dtype: ${meta.dtype}
|
| 780 |
+
acc_sigma: 0.01
|
| 781 |
+
gyro_sigma: 0.01
|
| 782 |
+
gravity: 9.81007
|
| 783 |
+
debias: true
|
| 784 |
+
calibrater:
|
| 785 |
+
kind: imu
|
| 786 |
+
seq_name: sphinx/yawForward/maxSpeed3p0
|
| 787 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 788 |
+
config:
|
| 789 |
+
window_size: ${train.window}
|
| 790 |
+
seq:
|
| 791 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 792 |
+
config:
|
| 793 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 794 |
+
device: ${meta.device}
|
| 795 |
+
dtype: ${meta.dtype}
|
| 796 |
+
acc_sigma: 0.01
|
| 797 |
+
gyro_sigma: 0.01
|
| 798 |
+
gravity: 9.81007
|
| 799 |
+
debias: true
|
| 800 |
+
calibrater:
|
| 801 |
+
kind: imu
|
| 802 |
+
seq_name: thrice/yawForward/maxSpeed3p0
|
| 803 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 804 |
+
config:
|
| 805 |
+
window_size: ${train.window}
|
| 806 |
+
seq:
|
| 807 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 808 |
+
config:
|
| 809 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 810 |
+
device: ${meta.device}
|
| 811 |
+
dtype: ${meta.dtype}
|
| 812 |
+
acc_sigma: 0.01
|
| 813 |
+
gyro_sigma: 0.01
|
| 814 |
+
gravity: 9.81007
|
| 815 |
+
debias: true
|
| 816 |
+
calibrater:
|
| 817 |
+
kind: imu
|
| 818 |
+
seq_name: oval/yawForward/maxSpeed3p0
|
| 819 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 820 |
+
config:
|
| 821 |
+
window_size: ${train.window}
|
| 822 |
+
seq:
|
| 823 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 824 |
+
config:
|
| 825 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 826 |
+
device: ${meta.device}
|
| 827 |
+
dtype: ${meta.dtype}
|
| 828 |
+
acc_sigma: 0.01
|
| 829 |
+
gyro_sigma: 0.01
|
| 830 |
+
gravity: 9.81007
|
| 831 |
+
debias: true
|
| 832 |
+
calibrater:
|
| 833 |
+
kind: imu
|
| 834 |
+
seq_name: star/yawForward/maxSpeed1p0
|
| 835 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 836 |
+
config:
|
| 837 |
+
window_size: ${train.window}
|
| 838 |
+
seq:
|
| 839 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 840 |
+
config:
|
| 841 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 842 |
+
device: ${meta.device}
|
| 843 |
+
dtype: ${meta.dtype}
|
| 844 |
+
acc_sigma: 0.01
|
| 845 |
+
gyro_sigma: 0.01
|
| 846 |
+
gravity: 9.81007
|
| 847 |
+
debias: true
|
| 848 |
+
calibrater:
|
| 849 |
+
kind: imu
|
| 850 |
+
seq_name: mouse/yawForward/maxSpeed0p5
|
| 851 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 852 |
+
config:
|
| 853 |
+
window_size: ${train.window}
|
| 854 |
+
seq:
|
| 855 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 856 |
+
config:
|
| 857 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 858 |
+
device: ${meta.device}
|
| 859 |
+
dtype: ${meta.dtype}
|
| 860 |
+
acc_sigma: 0.01
|
| 861 |
+
gyro_sigma: 0.01
|
| 862 |
+
gravity: 9.81007
|
| 863 |
+
debias: true
|
| 864 |
+
calibrater:
|
| 865 |
+
kind: imu
|
| 866 |
+
seq_name: tiltedThrice/yawForward/maxSpeed0p5
|
| 867 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 868 |
+
config:
|
| 869 |
+
window_size: ${train.window}
|
| 870 |
+
seq:
|
| 871 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 872 |
+
config:
|
| 873 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 874 |
+
device: ${meta.device}
|
| 875 |
+
dtype: ${meta.dtype}
|
| 876 |
+
acc_sigma: 0.01
|
| 877 |
+
gyro_sigma: 0.01
|
| 878 |
+
gravity: 9.81007
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
seq_name: sphinx/yawForward/maxSpeed4p0
|
| 883 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 884 |
+
config:
|
| 885 |
+
window_size: ${train.window}
|
| 886 |
+
seq:
|
| 887 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 888 |
+
config:
|
| 889 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 890 |
+
device: ${meta.device}
|
| 891 |
+
dtype: ${meta.dtype}
|
| 892 |
+
acc_sigma: 0.01
|
| 893 |
+
gyro_sigma: 0.01
|
| 894 |
+
gravity: 9.81007
|
| 895 |
+
debias: true
|
| 896 |
+
calibrater:
|
| 897 |
+
kind: imu
|
| 898 |
+
seq_name: star/yawForward/maxSpeed4p0
|
| 899 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 900 |
+
config:
|
| 901 |
+
window_size: ${train.window}
|
| 902 |
+
seq:
|
| 903 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 904 |
+
config:
|
| 905 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 906 |
+
device: ${meta.device}
|
| 907 |
+
dtype: ${meta.dtype}
|
| 908 |
+
acc_sigma: 0.01
|
| 909 |
+
gyro_sigma: 0.01
|
| 910 |
+
gravity: 9.81007
|
| 911 |
+
debias: true
|
| 912 |
+
calibrater:
|
| 913 |
+
kind: imu
|
| 914 |
+
seq_name: clover/yawForward/maxSpeed0p5
|
| 915 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 916 |
+
config:
|
| 917 |
+
window_size: ${train.window}
|
| 918 |
+
seq:
|
| 919 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 920 |
+
config:
|
| 921 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 922 |
+
device: ${meta.device}
|
| 923 |
+
dtype: ${meta.dtype}
|
| 924 |
+
acc_sigma: 0.01
|
| 925 |
+
gyro_sigma: 0.01
|
| 926 |
+
gravity: 9.81007
|
| 927 |
+
debias: true
|
| 928 |
+
calibrater:
|
| 929 |
+
kind: imu
|
| 930 |
+
seq_name: star/yawForward/maxSpeed2p0
|
| 931 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 932 |
+
config:
|
| 933 |
+
window_size: ${train.window}
|
| 934 |
+
seq:
|
| 935 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 936 |
+
config:
|
| 937 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 938 |
+
device: ${meta.device}
|
| 939 |
+
dtype: ${meta.dtype}
|
| 940 |
+
acc_sigma: 0.01
|
| 941 |
+
gyro_sigma: 0.01
|
| 942 |
+
gravity: 9.81007
|
| 943 |
+
debias: true
|
| 944 |
+
calibrater:
|
| 945 |
+
kind: imu
|
| 946 |
+
seq_name: clover/yawForward/maxSpeed1p0
|
| 947 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 948 |
+
config:
|
| 949 |
+
window_size: ${train.window}
|
| 950 |
+
seq:
|
| 951 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 952 |
+
config:
|
| 953 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 954 |
+
device: ${meta.device}
|
| 955 |
+
dtype: ${meta.dtype}
|
| 956 |
+
acc_sigma: 0.01
|
| 957 |
+
gyro_sigma: 0.01
|
| 958 |
+
gravity: 9.81007
|
| 959 |
+
debias: true
|
| 960 |
+
calibrater:
|
| 961 |
+
kind: imu
|
| 962 |
+
seq_name: clover/yawForward/maxSpeed2p0
|
| 963 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 964 |
+
config:
|
| 965 |
+
window_size: ${train.window}
|
| 966 |
+
seq:
|
| 967 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 968 |
+
config:
|
| 969 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 970 |
+
device: ${meta.device}
|
| 971 |
+
dtype: ${meta.dtype}
|
| 972 |
+
acc_sigma: 0.01
|
| 973 |
+
gyro_sigma: 0.01
|
| 974 |
+
gravity: 9.81007
|
| 975 |
+
debias: true
|
| 976 |
+
calibrater:
|
| 977 |
+
kind: imu
|
| 978 |
+
seq_name: mouse/yawForward/maxSpeed2p0
|
| 979 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 980 |
+
config:
|
| 981 |
+
window_size: ${train.window}
|
| 982 |
+
seq:
|
| 983 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 984 |
+
config:
|
| 985 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 986 |
+
device: ${meta.device}
|
| 987 |
+
dtype: ${meta.dtype}
|
| 988 |
+
acc_sigma: 0.01
|
| 989 |
+
gyro_sigma: 0.01
|
| 990 |
+
gravity: 9.81007
|
| 991 |
+
debias: true
|
| 992 |
+
calibrater:
|
| 993 |
+
kind: imu
|
| 994 |
+
seq_name: sid/yawForward/maxSpeed0p5
|
| 995 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 996 |
+
config:
|
| 997 |
+
window_size: ${train.window}
|
| 998 |
+
seq:
|
| 999 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1000 |
+
config:
|
| 1001 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1002 |
+
device: ${meta.device}
|
| 1003 |
+
dtype: ${meta.dtype}
|
| 1004 |
+
acc_sigma: 0.01
|
| 1005 |
+
gyro_sigma: 0.01
|
| 1006 |
+
gravity: 9.81007
|
| 1007 |
+
debias: true
|
| 1008 |
+
calibrater:
|
| 1009 |
+
kind: imu
|
| 1010 |
+
seq_name: tiltedThrice/yawForward/maxSpeed2p0
|
| 1011 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1012 |
+
config:
|
| 1013 |
+
window_size: ${train.window}
|
| 1014 |
+
seq:
|
| 1015 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1016 |
+
config:
|
| 1017 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1018 |
+
device: ${meta.device}
|
| 1019 |
+
dtype: ${meta.dtype}
|
| 1020 |
+
acc_sigma: 0.01
|
| 1021 |
+
gyro_sigma: 0.01
|
| 1022 |
+
gravity: 9.81007
|
| 1023 |
+
debias: true
|
| 1024 |
+
calibrater:
|
| 1025 |
+
kind: imu
|
| 1026 |
+
seq_name: tiltedThrice/yawForward/maxSpeed1p0
|
| 1027 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1028 |
+
config:
|
| 1029 |
+
window_size: ${train.window}
|
| 1030 |
+
seq:
|
| 1031 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1032 |
+
config:
|
| 1033 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1034 |
+
device: ${meta.device}
|
| 1035 |
+
dtype: ${meta.dtype}
|
| 1036 |
+
acc_sigma: 0.01
|
| 1037 |
+
gyro_sigma: 0.01
|
| 1038 |
+
gravity: 9.81007
|
| 1039 |
+
debias: true
|
| 1040 |
+
calibrater:
|
| 1041 |
+
kind: imu
|
| 1042 |
+
seq_name: thrice/yawForward/maxSpeed5p0
|
| 1043 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1044 |
+
config:
|
| 1045 |
+
window_size: ${train.window}
|
| 1046 |
+
seq:
|
| 1047 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1048 |
+
config:
|
| 1049 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1050 |
+
device: ${meta.device}
|
| 1051 |
+
dtype: ${meta.dtype}
|
| 1052 |
+
acc_sigma: 0.01
|
| 1053 |
+
gyro_sigma: 0.01
|
| 1054 |
+
gravity: 9.81007
|
| 1055 |
+
debias: true
|
| 1056 |
+
calibrater:
|
| 1057 |
+
kind: imu
|
| 1058 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed2p0
|
| 1059 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1060 |
+
config:
|
| 1061 |
+
window_size: ${train.window}
|
| 1062 |
+
seq:
|
| 1063 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1064 |
+
config:
|
| 1065 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1066 |
+
device: ${meta.device}
|
| 1067 |
+
dtype: ${meta.dtype}
|
| 1068 |
+
acc_sigma: 0.01
|
| 1069 |
+
gyro_sigma: 0.01
|
| 1070 |
+
gravity: 9.81007
|
| 1071 |
+
debias: true
|
| 1072 |
+
calibrater:
|
| 1073 |
+
kind: imu
|
| 1074 |
+
seq_name: oval/yawForward/maxSpeed4p0
|
| 1075 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1076 |
+
config:
|
| 1077 |
+
window_size: ${train.window}
|
| 1078 |
+
seq:
|
| 1079 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1080 |
+
config:
|
| 1081 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1082 |
+
device: ${meta.device}
|
| 1083 |
+
dtype: ${meta.dtype}
|
| 1084 |
+
acc_sigma: 0.01
|
| 1085 |
+
gyro_sigma: 0.01
|
| 1086 |
+
gravity: 9.81007
|
| 1087 |
+
debias: true
|
| 1088 |
+
calibrater:
|
| 1089 |
+
kind: imu
|
| 1090 |
+
seq_name: mouse/yawForward/maxSpeed1p0
|
| 1091 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1092 |
+
config:
|
| 1093 |
+
window_size: ${train.window}
|
| 1094 |
+
seq:
|
| 1095 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1096 |
+
config:
|
| 1097 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1098 |
+
device: ${meta.device}
|
| 1099 |
+
dtype: ${meta.dtype}
|
| 1100 |
+
acc_sigma: 0.01
|
| 1101 |
+
gyro_sigma: 0.01
|
| 1102 |
+
gravity: 9.81007
|
| 1103 |
+
debias: true
|
| 1104 |
+
calibrater:
|
| 1105 |
+
kind: imu
|
| 1106 |
+
seq_name: bentDice/yawForward/maxSpeed2p0
|
| 1107 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1108 |
+
config:
|
| 1109 |
+
window_size: ${train.window}
|
| 1110 |
+
seq:
|
| 1111 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1112 |
+
config:
|
| 1113 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1114 |
+
device: ${meta.device}
|
| 1115 |
+
dtype: ${meta.dtype}
|
| 1116 |
+
acc_sigma: 0.01
|
| 1117 |
+
gyro_sigma: 0.01
|
| 1118 |
+
gravity: 9.81007
|
| 1119 |
+
debias: true
|
| 1120 |
+
calibrater:
|
| 1121 |
+
kind: imu
|
| 1122 |
+
seq_name: figure8/yawConstant/maxSpeed1p0
|
| 1123 |
+
val_dataset:
|
| 1124 |
+
_outer:
|
| 1125 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1126 |
+
config:
|
| 1127 |
+
window_size: ${train.window}
|
| 1128 |
+
step_size: ${train.window}
|
| 1129 |
+
_inner:
|
| 1130 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1131 |
+
_inner_config:
|
| 1132 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1133 |
+
device: ${meta.device}
|
| 1134 |
+
dtype: ${meta.dtype}
|
| 1135 |
+
acc_sigma: 0.01
|
| 1136 |
+
gyro_sigma: 0.01
|
| 1137 |
+
gravity: 9.81007
|
| 1138 |
+
debias: true
|
| 1139 |
+
calibrater:
|
| 1140 |
+
kind: imu
|
| 1141 |
+
sequences:
|
| 1142 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1143 |
+
config:
|
| 1144 |
+
window_size: ${train.window}
|
| 1145 |
+
step_size: ${train.window}
|
| 1146 |
+
seq:
|
| 1147 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1148 |
+
config:
|
| 1149 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1150 |
+
device: ${meta.device}
|
| 1151 |
+
dtype: ${meta.dtype}
|
| 1152 |
+
acc_sigma: 0.01
|
| 1153 |
+
gyro_sigma: 0.01
|
| 1154 |
+
gravity: 9.81007
|
| 1155 |
+
debias: true
|
| 1156 |
+
calibrater:
|
| 1157 |
+
kind: imu
|
| 1158 |
+
seq_name: tiltedThrice/yawForward/maxSpeed4p0
|
| 1159 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1160 |
+
config:
|
| 1161 |
+
window_size: ${train.window}
|
| 1162 |
+
step_size: ${train.window}
|
| 1163 |
+
seq:
|
| 1164 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1165 |
+
config:
|
| 1166 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1167 |
+
device: ${meta.device}
|
| 1168 |
+
dtype: ${meta.dtype}
|
| 1169 |
+
acc_sigma: 0.01
|
| 1170 |
+
gyro_sigma: 0.01
|
| 1171 |
+
gravity: 9.81007
|
| 1172 |
+
debias: true
|
| 1173 |
+
calibrater:
|
| 1174 |
+
kind: imu
|
| 1175 |
+
seq_name: mouse/yawForward/maxSpeed3p0
|
| 1176 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1177 |
+
config:
|
| 1178 |
+
window_size: ${train.window}
|
| 1179 |
+
step_size: ${train.window}
|
| 1180 |
+
seq:
|
| 1181 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1182 |
+
config:
|
| 1183 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1184 |
+
device: ${meta.device}
|
| 1185 |
+
dtype: ${meta.dtype}
|
| 1186 |
+
acc_sigma: 0.01
|
| 1187 |
+
gyro_sigma: 0.01
|
| 1188 |
+
gravity: 9.81007
|
| 1189 |
+
debias: true
|
| 1190 |
+
calibrater:
|
| 1191 |
+
kind: imu
|
| 1192 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed3p0
|
| 1193 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1194 |
+
config:
|
| 1195 |
+
window_size: ${train.window}
|
| 1196 |
+
step_size: ${train.window}
|
| 1197 |
+
seq:
|
| 1198 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1199 |
+
config:
|
| 1200 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1201 |
+
device: ${meta.device}
|
| 1202 |
+
dtype: ${meta.dtype}
|
| 1203 |
+
acc_sigma: 0.01
|
| 1204 |
+
gyro_sigma: 0.01
|
| 1205 |
+
gravity: 9.81007
|
| 1206 |
+
debias: true
|
| 1207 |
+
calibrater:
|
| 1208 |
+
kind: imu
|
| 1209 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed5p0
|
| 1210 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1211 |
+
config:
|
| 1212 |
+
window_size: ${train.window}
|
| 1213 |
+
step_size: ${train.window}
|
| 1214 |
+
seq:
|
| 1215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1216 |
+
config:
|
| 1217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1218 |
+
device: ${meta.device}
|
| 1219 |
+
dtype: ${meta.dtype}
|
| 1220 |
+
acc_sigma: 0.01
|
| 1221 |
+
gyro_sigma: 0.01
|
| 1222 |
+
gravity: 9.81007
|
| 1223 |
+
debias: true
|
| 1224 |
+
calibrater:
|
| 1225 |
+
kind: imu
|
| 1226 |
+
seq_name: sid/yawForward/maxSpeed3p0
|
| 1227 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1228 |
+
config:
|
| 1229 |
+
window_size: ${train.window}
|
| 1230 |
+
step_size: ${train.window}
|
| 1231 |
+
seq:
|
| 1232 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1233 |
+
config:
|
| 1234 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1235 |
+
device: ${meta.device}
|
| 1236 |
+
dtype: ${meta.dtype}
|
| 1237 |
+
acc_sigma: 0.01
|
| 1238 |
+
gyro_sigma: 0.01
|
| 1239 |
+
gravity: 9.81007
|
| 1240 |
+
debias: true
|
| 1241 |
+
calibrater:
|
| 1242 |
+
kind: imu
|
| 1243 |
+
seq_name: halfMoon/yawForward/maxSpeed2p0
|
| 1244 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1245 |
+
config:
|
| 1246 |
+
window_size: ${train.window}
|
| 1247 |
+
step_size: ${train.window}
|
| 1248 |
+
seq:
|
| 1249 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1250 |
+
config:
|
| 1251 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1252 |
+
device: ${meta.device}
|
| 1253 |
+
dtype: ${meta.dtype}
|
| 1254 |
+
acc_sigma: 0.01
|
| 1255 |
+
gyro_sigma: 0.01
|
| 1256 |
+
gravity: 9.81007
|
| 1257 |
+
debias: true
|
| 1258 |
+
calibrater:
|
| 1259 |
+
kind: imu
|
| 1260 |
+
seq_name: star/yawForward/maxSpeed5p0
|
| 1261 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1262 |
+
config:
|
| 1263 |
+
window_size: ${train.window}
|
| 1264 |
+
step_size: ${train.window}
|
| 1265 |
+
seq:
|
| 1266 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1267 |
+
config:
|
| 1268 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1269 |
+
device: ${meta.device}
|
| 1270 |
+
dtype: ${meta.dtype}
|
| 1271 |
+
acc_sigma: 0.01
|
| 1272 |
+
gyro_sigma: 0.01
|
| 1273 |
+
gravity: 9.81007
|
| 1274 |
+
debias: true
|
| 1275 |
+
calibrater:
|
| 1276 |
+
kind: imu
|
| 1277 |
+
seq_name: star/yawForward/maxSpeed3p0
|
| 1278 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1279 |
+
config:
|
| 1280 |
+
window_size: ${train.window}
|
| 1281 |
+
step_size: ${train.window}
|
| 1282 |
+
seq:
|
| 1283 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1284 |
+
config:
|
| 1285 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1286 |
+
device: ${meta.device}
|
| 1287 |
+
dtype: ${meta.dtype}
|
| 1288 |
+
acc_sigma: 0.01
|
| 1289 |
+
gyro_sigma: 0.01
|
| 1290 |
+
gravity: 9.81007
|
| 1291 |
+
debias: true
|
| 1292 |
+
calibrater:
|
| 1293 |
+
kind: imu
|
| 1294 |
+
seq_name: patrick/yawForward/maxSpeed3p0
|
| 1295 |
+
test_dataset:
|
| 1296 |
+
_outer:
|
| 1297 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1298 |
+
config:
|
| 1299 |
+
window_size: ${train.window}
|
| 1300 |
+
step_size: ${train.window}
|
| 1301 |
+
_inner:
|
| 1302 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1303 |
+
_inner_config:
|
| 1304 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1305 |
+
device: ${meta.device}
|
| 1306 |
+
dtype: ${meta.dtype}
|
| 1307 |
+
acc_sigma: 0.01
|
| 1308 |
+
gyro_sigma: 0.01
|
| 1309 |
+
gravity: 9.81007
|
| 1310 |
+
debias: true
|
| 1311 |
+
calibrater:
|
| 1312 |
+
kind: imu
|
| 1313 |
+
sequences:
|
| 1314 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1315 |
+
config:
|
| 1316 |
+
window_size: ${train.window}
|
| 1317 |
+
step_size: ${train.window}
|
| 1318 |
+
seq:
|
| 1319 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1320 |
+
config:
|
| 1321 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1322 |
+
device: ${meta.device}
|
| 1323 |
+
dtype: ${meta.dtype}
|
| 1324 |
+
acc_sigma: 0.01
|
| 1325 |
+
gyro_sigma: 0.01
|
| 1326 |
+
gravity: 9.81007
|
| 1327 |
+
debias: true
|
| 1328 |
+
calibrater:
|
| 1329 |
+
kind: imu
|
| 1330 |
+
seq_name: picasso/yawConstant/maxSpeed6p0
|
| 1331 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1332 |
+
config:
|
| 1333 |
+
window_size: ${train.window}
|
| 1334 |
+
step_size: ${train.window}
|
| 1335 |
+
seq:
|
| 1336 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1337 |
+
config:
|
| 1338 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1339 |
+
device: ${meta.device}
|
| 1340 |
+
dtype: ${meta.dtype}
|
| 1341 |
+
acc_sigma: 0.01
|
| 1342 |
+
gyro_sigma: 0.01
|
| 1343 |
+
gravity: 9.81007
|
| 1344 |
+
debias: true
|
| 1345 |
+
calibrater:
|
| 1346 |
+
kind: imu
|
| 1347 |
+
seq_name: picasso/yawConstant/maxSpeed2p0
|
| 1348 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1349 |
+
config:
|
| 1350 |
+
window_size: ${train.window}
|
| 1351 |
+
step_size: ${train.window}
|
| 1352 |
+
seq:
|
| 1353 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1354 |
+
config:
|
| 1355 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1356 |
+
device: ${meta.device}
|
| 1357 |
+
dtype: ${meta.dtype}
|
| 1358 |
+
acc_sigma: 0.01
|
| 1359 |
+
gyro_sigma: 0.01
|
| 1360 |
+
gravity: 9.81007
|
| 1361 |
+
debias: true
|
| 1362 |
+
calibrater:
|
| 1363 |
+
kind: imu
|
| 1364 |
+
seq_name: egg/yawForward/maxSpeed3p0
|
| 1365 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1366 |
+
config:
|
| 1367 |
+
window_size: ${train.window}
|
| 1368 |
+
step_size: ${train.window}
|
| 1369 |
+
seq:
|
| 1370 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1371 |
+
config:
|
| 1372 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1373 |
+
device: ${meta.device}
|
| 1374 |
+
dtype: ${meta.dtype}
|
| 1375 |
+
acc_sigma: 0.01
|
| 1376 |
+
gyro_sigma: 0.01
|
| 1377 |
+
gravity: 9.81007
|
| 1378 |
+
debias: true
|
| 1379 |
+
calibrater:
|
| 1380 |
+
kind: imu
|
| 1381 |
+
seq_name: clover/yawForward/maxSpeed5p0
|
| 1382 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1383 |
+
config:
|
| 1384 |
+
window_size: ${train.window}
|
| 1385 |
+
step_size: ${train.window}
|
| 1386 |
+
seq:
|
| 1387 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1388 |
+
config:
|
| 1389 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1390 |
+
device: ${meta.device}
|
| 1391 |
+
dtype: ${meta.dtype}
|
| 1392 |
+
acc_sigma: 0.01
|
| 1393 |
+
gyro_sigma: 0.01
|
| 1394 |
+
gravity: 9.81007
|
| 1395 |
+
debias: true
|
| 1396 |
+
calibrater:
|
| 1397 |
+
kind: imu
|
| 1398 |
+
seq_name: mouse/yawForward/maxSpeed6p0
|
| 1399 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1400 |
+
config:
|
| 1401 |
+
window_size: ${train.window}
|
| 1402 |
+
step_size: ${train.window}
|
| 1403 |
+
seq:
|
| 1404 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1405 |
+
config:
|
| 1406 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1407 |
+
device: ${meta.device}
|
| 1408 |
+
dtype: ${meta.dtype}
|
| 1409 |
+
acc_sigma: 0.01
|
| 1410 |
+
gyro_sigma: 0.01
|
| 1411 |
+
gravity: 9.81007
|
| 1412 |
+
debias: true
|
| 1413 |
+
calibrater:
|
| 1414 |
+
kind: imu
|
| 1415 |
+
seq_name: mouse/yawForward/maxSpeed7p0
|
| 1416 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1417 |
+
config:
|
| 1418 |
+
window_size: ${train.window}
|
| 1419 |
+
step_size: ${train.window}
|
| 1420 |
+
seq:
|
| 1421 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1422 |
+
config:
|
| 1423 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1424 |
+
device: ${meta.device}
|
| 1425 |
+
dtype: ${meta.dtype}
|
| 1426 |
+
acc_sigma: 0.01
|
| 1427 |
+
gyro_sigma: 0.01
|
| 1428 |
+
gravity: 9.81007
|
| 1429 |
+
debias: true
|
| 1430 |
+
calibrater:
|
| 1431 |
+
kind: imu
|
| 1432 |
+
seq_name: bentDice/yawForward/maxSpeed1p0
|
| 1433 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1434 |
+
config:
|
| 1435 |
+
window_size: ${train.window}
|
| 1436 |
+
step_size: ${train.window}
|
| 1437 |
+
seq:
|
| 1438 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1439 |
+
config:
|
| 1440 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1441 |
+
device: ${meta.device}
|
| 1442 |
+
dtype: ${meta.dtype}
|
| 1443 |
+
acc_sigma: 0.01
|
| 1444 |
+
gyro_sigma: 0.01
|
| 1445 |
+
gravity: 9.81007
|
| 1446 |
+
debias: true
|
| 1447 |
+
calibrater:
|
| 1448 |
+
kind: imu
|
| 1449 |
+
seq_name: picasso/yawConstant/maxSpeed3p0
|
| 1450 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1451 |
+
config:
|
| 1452 |
+
window_size: ${train.window}
|
| 1453 |
+
step_size: ${train.window}
|
| 1454 |
+
seq:
|
| 1455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1456 |
+
config:
|
| 1457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1458 |
+
device: ${meta.device}
|
| 1459 |
+
dtype: ${meta.dtype}
|
| 1460 |
+
acc_sigma: 0.01
|
| 1461 |
+
gyro_sigma: 0.01
|
| 1462 |
+
gravity: 9.81007
|
| 1463 |
+
debias: true
|
| 1464 |
+
calibrater:
|
| 1465 |
+
kind: imu
|
| 1466 |
+
seq_name: bentDice/yawForward/maxSpeed3p0
|
| 1467 |
+
network:
|
| 1468 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 1469 |
+
k_list:
|
| 1470 |
+
- 7
|
| 1471 |
+
- 7
|
| 1472 |
+
s_list:
|
| 1473 |
+
- 3
|
| 1474 |
+
- 3
|
| 1475 |
+
p_list:
|
| 1476 |
+
- 3
|
| 1477 |
+
- 3
|
| 1478 |
+
imu_encoder_channels:
|
| 1479 |
+
- 32
|
| 1480 |
+
- 64
|
| 1481 |
+
fusion_dim: 64
|
| 1482 |
+
gru1_hidden: 64
|
| 1483 |
+
gru2_hidden: 128
|
| 1484 |
+
decoder_hidden: 128
|
| 1485 |
+
bidirectional: true
|
| 1486 |
+
num_imus: 1
|
| 1487 |
+
imu_input: raw
|
| 1488 |
+
optimizer:
|
| 1489 |
+
_target_: torch.optim.AdamW
|
| 1490 |
+
lr: ${train.lr}
|
| 1491 |
+
weight_decay: ${train.decay}
|
| 1492 |
+
fused: true
|
| 1493 |
+
scheduler:
|
| 1494 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 1495 |
+
factor: 1.0
|
| 1496 |
+
total_iters: 0
|
| 1497 |
+
loss:
|
| 1498 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 1499 |
+
dv:
|
| 1500 |
+
- - 1
|
| 1501 |
+
- 1.0
|
| 1502 |
+
- - 3
|
| 1503 |
+
- 1.0
|
| 1504 |
+
- - 9
|
| 1505 |
+
- 1.0
|
| 1506 |
+
- - 27
|
| 1507 |
+
- 1.0
|
| 1508 |
+
modality:
|
| 1509 |
+
use_aux_imu: true
|
| 1510 |
+
use_joints: true
|
| 1511 |
+
train:
|
| 1512 |
+
lr: 0.001
|
| 1513 |
+
decay: 0.001
|
| 1514 |
+
batch: 512
|
| 1515 |
+
labeled_ratio: 0.5
|
| 1516 |
+
num_workers: 0
|
| 1517 |
+
data_ratio: 1.0
|
| 1518 |
+
epoch: 120
|
| 1519 |
+
window: 1024
|
| 1520 |
+
ema: true
|
| 1521 |
+
freeze_bn: false
|
| 1522 |
+
gravity: 9.81007
|
| 1523 |
+
checkpoint_every_epochs: 5
|
| 1524 |
+
plot_every_epochs: 10
|
| 1525 |
+
test_every_epochs: 1
|
| 1526 |
+
max_train_steps: null
|
| 1527 |
+
zupt_weight: 0.1
|
| 1528 |
+
zupt_gate: imu
|
| 1529 |
+
zupt_speed_max: 0.02
|
| 1530 |
+
zupt_sched_enable: false
|
| 1531 |
+
zupt_sched_start: null
|
| 1532 |
+
zupt_sched_end: null
|
| 1533 |
+
dv_imu_input: corrected
|
| 1534 |
+
acc_noise_std: 0.0
|
| 1535 |
+
gyro_noise_std: 0.0
|
| 1536 |
+
resume_from: null
|
| 1537 |
+
meta:
|
| 1538 |
+
device: ${as_device:'cuda:0'}
|
| 1539 |
+
dtype: ${as_dtype:'fp32'}
|
| 1540 |
+
wandb:
|
| 1541 |
+
project: SSIO
|
| 1542 |
+
mode: online
|
| 1543 |
+
name: null
|
blackbird/ssio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,174 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- network=airio_imu_only
|
| 117 |
+
- train.zupt_gate=imu
|
| 118 |
+
- loss=ssio_dv_1_3_9_27
|
| 119 |
+
- train.zupt_weight=0.1
|
| 120 |
+
- train.epoch=120
|
| 121 |
+
- train.checkpoint_every_epochs=5
|
| 122 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 123 |
+
- dataset@val_dataset=BlackBird_Valid
|
| 124 |
+
- dataset@test_dataset=BlackBird_Test
|
| 125 |
+
job:
|
| 126 |
+
name: train_step1_ssio
|
| 127 |
+
chdir: false
|
| 128 |
+
override_dirname: dataset@test_dataset=BlackBird_Test,dataset@train_dataset=BlackBird_Train_Randomized,dataset@val_dataset=BlackBird_Valid,loss=ssio_dv_1_3_9_27,network=airio_imu_only,train.checkpoint_every_epochs=5,train.epoch=120,train.zupt_gate=imu,train.zupt_weight=0.1
|
| 129 |
+
id: ???
|
| 130 |
+
num: ???
|
| 131 |
+
config_name: train_ssio
|
| 132 |
+
env_set: {}
|
| 133 |
+
env_copy: []
|
| 134 |
+
config:
|
| 135 |
+
override_dirname:
|
| 136 |
+
kv_sep: '='
|
| 137 |
+
item_sep: ','
|
| 138 |
+
exclude_keys: []
|
| 139 |
+
runtime:
|
| 140 |
+
version: 1.3.2
|
| 141 |
+
version_base: '1.3'
|
| 142 |
+
cwd: .
|
| 143 |
+
config_sources:
|
| 144 |
+
- path: hydra.conf
|
| 145 |
+
schema: pkg
|
| 146 |
+
provider: hydra
|
| 147 |
+
- path: ./Config
|
| 148 |
+
schema: file
|
| 149 |
+
provider: main
|
| 150 |
+
- path: ./Config
|
| 151 |
+
schema: file
|
| 152 |
+
provider: hydra.searchpath in main
|
| 153 |
+
- path: ''
|
| 154 |
+
schema: structured
|
| 155 |
+
provider: schema
|
| 156 |
+
output_dir: ./experiments/train_ssio/BlackBird_Train_Randomized/20260914_000110
|
| 157 |
+
choices:
|
| 158 |
+
loss: ssio_dv_1_3_9_27
|
| 159 |
+
scheduler: constant
|
| 160 |
+
optimizer: adamw
|
| 161 |
+
network: airio_imu_only
|
| 162 |
+
dataset@test_dataset: BlackBird_Test
|
| 163 |
+
dataset@val_dataset: BlackBird_Valid
|
| 164 |
+
dataset@train_dataset: BlackBird_Train_Randomized
|
| 165 |
+
hydra/env: default
|
| 166 |
+
hydra/callbacks: null
|
| 167 |
+
hydra/job_logging: default
|
| 168 |
+
hydra/hydra_logging: default
|
| 169 |
+
hydra/hydra_help: default
|
| 170 |
+
hydra/help: default
|
| 171 |
+
hydra/sweeper: basic
|
| 172 |
+
hydra/launcher: basic
|
| 173 |
+
hydra/output: default
|
| 174 |
+
verbose: false
|
blackbird/ssio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- network=airio_imu_only
|
| 2 |
+
- train.zupt_gate=imu
|
| 3 |
+
- loss=ssio_dv_1_3_9_27
|
| 4 |
+
- train.zupt_weight=0.1
|
| 5 |
+
- train.epoch=120
|
| 6 |
+
- train.checkpoint_every_epochs=5
|
| 7 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 8 |
+
- dataset@val_dataset=BlackBird_Valid
|
| 9 |
+
- dataset@test_dataset=BlackBird_Test
|
blackbird/ssio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95ac7559c86cc76f65e2361ae88f4be313d62184e63f16b03a30dbabe7b534fe
|
| 3 |
+
size 1355061
|
blackbird/ssio_pgd/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,1543 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
gravity: 9.81007
|
| 15 |
+
debias: true
|
| 16 |
+
calibrater:
|
| 17 |
+
kind: imu
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
gravity: 9.81007
|
| 31 |
+
debias: true
|
| 32 |
+
calibrater:
|
| 33 |
+
kind: imu
|
| 34 |
+
seq_name: sid/yawForward/maxSpeed4p0
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
gravity: 9.81007
|
| 47 |
+
debias: true
|
| 48 |
+
calibrater:
|
| 49 |
+
kind: imu
|
| 50 |
+
seq_name: bentDice/yawForward/maxSpeed0p5
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
gravity: 9.81007
|
| 63 |
+
debias: true
|
| 64 |
+
calibrater:
|
| 65 |
+
kind: imu
|
| 66 |
+
seq_name: thrice/yawForward/maxSpeed1p0
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
gravity: 9.81007
|
| 79 |
+
debias: true
|
| 80 |
+
calibrater:
|
| 81 |
+
kind: imu
|
| 82 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed0p5
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
gravity: 9.81007
|
| 95 |
+
debias: true
|
| 96 |
+
calibrater:
|
| 97 |
+
kind: imu
|
| 98 |
+
seq_name: ampersand/yawForward/maxSpeed2p0
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
gravity: 9.81007
|
| 111 |
+
debias: true
|
| 112 |
+
calibrater:
|
| 113 |
+
kind: imu
|
| 114 |
+
seq_name: clover/yawForward/maxSpeed3p0
|
| 115 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 116 |
+
config:
|
| 117 |
+
window_size: ${train.window}
|
| 118 |
+
seq:
|
| 119 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 120 |
+
config:
|
| 121 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 122 |
+
device: ${meta.device}
|
| 123 |
+
dtype: ${meta.dtype}
|
| 124 |
+
acc_sigma: 0.01
|
| 125 |
+
gyro_sigma: 0.01
|
| 126 |
+
gravity: 9.81007
|
| 127 |
+
debias: true
|
| 128 |
+
calibrater:
|
| 129 |
+
kind: imu
|
| 130 |
+
seq_name: ampersand/yawForward/maxSpeed1p0
|
| 131 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 132 |
+
config:
|
| 133 |
+
window_size: ${train.window}
|
| 134 |
+
seq:
|
| 135 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 136 |
+
config:
|
| 137 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 138 |
+
device: ${meta.device}
|
| 139 |
+
dtype: ${meta.dtype}
|
| 140 |
+
acc_sigma: 0.01
|
| 141 |
+
gyro_sigma: 0.01
|
| 142 |
+
gravity: 9.81007
|
| 143 |
+
debias: true
|
| 144 |
+
calibrater:
|
| 145 |
+
kind: imu
|
| 146 |
+
seq_name: winter/yawForward/maxSpeed3p0
|
| 147 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 148 |
+
config:
|
| 149 |
+
window_size: ${train.window}
|
| 150 |
+
seq:
|
| 151 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 152 |
+
config:
|
| 153 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 154 |
+
device: ${meta.device}
|
| 155 |
+
dtype: ${meta.dtype}
|
| 156 |
+
acc_sigma: 0.01
|
| 157 |
+
gyro_sigma: 0.01
|
| 158 |
+
gravity: 9.81007
|
| 159 |
+
debias: true
|
| 160 |
+
calibrater:
|
| 161 |
+
kind: imu
|
| 162 |
+
seq_name: patrick/yawForward/maxSpeed4p0
|
| 163 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 164 |
+
config:
|
| 165 |
+
window_size: ${train.window}
|
| 166 |
+
seq:
|
| 167 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 168 |
+
config:
|
| 169 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 170 |
+
device: ${meta.device}
|
| 171 |
+
dtype: ${meta.dtype}
|
| 172 |
+
acc_sigma: 0.01
|
| 173 |
+
gyro_sigma: 0.01
|
| 174 |
+
gravity: 9.81007
|
| 175 |
+
debias: true
|
| 176 |
+
calibrater:
|
| 177 |
+
kind: imu
|
| 178 |
+
seq_name: mouse/yawForward/maxSpeed5p0
|
| 179 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 180 |
+
config:
|
| 181 |
+
window_size: ${train.window}
|
| 182 |
+
seq:
|
| 183 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 184 |
+
config:
|
| 185 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 186 |
+
device: ${meta.device}
|
| 187 |
+
dtype: ${meta.dtype}
|
| 188 |
+
acc_sigma: 0.01
|
| 189 |
+
gyro_sigma: 0.01
|
| 190 |
+
gravity: 9.81007
|
| 191 |
+
debias: true
|
| 192 |
+
calibrater:
|
| 193 |
+
kind: imu
|
| 194 |
+
seq_name: tiltedThrice/yawForward/maxSpeed5p0
|
| 195 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 196 |
+
config:
|
| 197 |
+
window_size: ${train.window}
|
| 198 |
+
seq:
|
| 199 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 200 |
+
config:
|
| 201 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 202 |
+
device: ${meta.device}
|
| 203 |
+
dtype: ${meta.dtype}
|
| 204 |
+
acc_sigma: 0.01
|
| 205 |
+
gyro_sigma: 0.01
|
| 206 |
+
gravity: 9.81007
|
| 207 |
+
debias: true
|
| 208 |
+
calibrater:
|
| 209 |
+
kind: imu
|
| 210 |
+
seq_name: thrice/yawForward/maxSpeed0p5
|
| 211 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 212 |
+
config:
|
| 213 |
+
window_size: ${train.window}
|
| 214 |
+
seq:
|
| 215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 216 |
+
config:
|
| 217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 218 |
+
device: ${meta.device}
|
| 219 |
+
dtype: ${meta.dtype}
|
| 220 |
+
acc_sigma: 0.01
|
| 221 |
+
gyro_sigma: 0.01
|
| 222 |
+
gravity: 9.81007
|
| 223 |
+
debias: true
|
| 224 |
+
calibrater:
|
| 225 |
+
kind: imu
|
| 226 |
+
seq_name: picasso/yawConstant/maxSpeed5p0
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.01
|
| 237 |
+
gyro_sigma: 0.01
|
| 238 |
+
gravity: 9.81007
|
| 239 |
+
debias: true
|
| 240 |
+
calibrater:
|
| 241 |
+
kind: imu
|
| 242 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed1p0
|
| 243 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 244 |
+
config:
|
| 245 |
+
window_size: ${train.window}
|
| 246 |
+
seq:
|
| 247 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 248 |
+
config:
|
| 249 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 250 |
+
device: ${meta.device}
|
| 251 |
+
dtype: ${meta.dtype}
|
| 252 |
+
acc_sigma: 0.01
|
| 253 |
+
gyro_sigma: 0.01
|
| 254 |
+
gravity: 9.81007
|
| 255 |
+
debias: true
|
| 256 |
+
calibrater:
|
| 257 |
+
kind: imu
|
| 258 |
+
seq_name: sid/yawForward/maxSpeed1p0
|
| 259 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 260 |
+
config:
|
| 261 |
+
window_size: ${train.window}
|
| 262 |
+
seq:
|
| 263 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 264 |
+
config:
|
| 265 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 266 |
+
device: ${meta.device}
|
| 267 |
+
dtype: ${meta.dtype}
|
| 268 |
+
acc_sigma: 0.01
|
| 269 |
+
gyro_sigma: 0.01
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
debias: true
|
| 272 |
+
calibrater:
|
| 273 |
+
kind: imu
|
| 274 |
+
seq_name: dice/yawForward/maxSpeed2p0
|
| 275 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 276 |
+
config:
|
| 277 |
+
window_size: ${train.window}
|
| 278 |
+
seq:
|
| 279 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 280 |
+
config:
|
| 281 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 282 |
+
device: ${meta.device}
|
| 283 |
+
dtype: ${meta.dtype}
|
| 284 |
+
acc_sigma: 0.01
|
| 285 |
+
gyro_sigma: 0.01
|
| 286 |
+
gravity: 9.81007
|
| 287 |
+
debias: true
|
| 288 |
+
calibrater:
|
| 289 |
+
kind: imu
|
| 290 |
+
seq_name: dice/yawForward/maxSpeed1p0
|
| 291 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 292 |
+
config:
|
| 293 |
+
window_size: ${train.window}
|
| 294 |
+
seq:
|
| 295 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 296 |
+
config:
|
| 297 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 298 |
+
device: ${meta.device}
|
| 299 |
+
dtype: ${meta.dtype}
|
| 300 |
+
acc_sigma: 0.01
|
| 301 |
+
gyro_sigma: 0.01
|
| 302 |
+
gravity: 9.81007
|
| 303 |
+
debias: true
|
| 304 |
+
calibrater:
|
| 305 |
+
kind: imu
|
| 306 |
+
seq_name: figure8/yawConstant/maxSpeed0p5
|
| 307 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 308 |
+
config:
|
| 309 |
+
window_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
gravity: 9.81007
|
| 319 |
+
debias: true
|
| 320 |
+
calibrater:
|
| 321 |
+
kind: imu
|
| 322 |
+
seq_name: figure8/yawConstant/maxSpeed5p0
|
| 323 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
seq:
|
| 327 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 328 |
+
config:
|
| 329 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 330 |
+
device: ${meta.device}
|
| 331 |
+
dtype: ${meta.dtype}
|
| 332 |
+
acc_sigma: 0.01
|
| 333 |
+
gyro_sigma: 0.01
|
| 334 |
+
gravity: 9.81007
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
seq_name: winter/yawForward/maxSpeed0p5
|
| 339 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 340 |
+
config:
|
| 341 |
+
window_size: ${train.window}
|
| 342 |
+
seq:
|
| 343 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 344 |
+
config:
|
| 345 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 346 |
+
device: ${meta.device}
|
| 347 |
+
dtype: ${meta.dtype}
|
| 348 |
+
acc_sigma: 0.01
|
| 349 |
+
gyro_sigma: 0.01
|
| 350 |
+
gravity: 9.81007
|
| 351 |
+
debias: true
|
| 352 |
+
calibrater:
|
| 353 |
+
kind: imu
|
| 354 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed4p0
|
| 355 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 356 |
+
config:
|
| 357 |
+
window_size: ${train.window}
|
| 358 |
+
seq:
|
| 359 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 360 |
+
config:
|
| 361 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 362 |
+
device: ${meta.device}
|
| 363 |
+
dtype: ${meta.dtype}
|
| 364 |
+
acc_sigma: 0.01
|
| 365 |
+
gyro_sigma: 0.01
|
| 366 |
+
gravity: 9.81007
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
seq_name: sphinx/yawForward/maxSpeed2p0
|
| 371 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 372 |
+
config:
|
| 373 |
+
window_size: ${train.window}
|
| 374 |
+
seq:
|
| 375 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 376 |
+
config:
|
| 377 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 378 |
+
device: ${meta.device}
|
| 379 |
+
dtype: ${meta.dtype}
|
| 380 |
+
acc_sigma: 0.01
|
| 381 |
+
gyro_sigma: 0.01
|
| 382 |
+
gravity: 9.81007
|
| 383 |
+
debias: true
|
| 384 |
+
calibrater:
|
| 385 |
+
kind: imu
|
| 386 |
+
seq_name: thrice/yawForward/maxSpeed2p0
|
| 387 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 388 |
+
config:
|
| 389 |
+
window_size: ${train.window}
|
| 390 |
+
seq:
|
| 391 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 392 |
+
config:
|
| 393 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 394 |
+
device: ${meta.device}
|
| 395 |
+
dtype: ${meta.dtype}
|
| 396 |
+
acc_sigma: 0.01
|
| 397 |
+
gyro_sigma: 0.01
|
| 398 |
+
gravity: 9.81007
|
| 399 |
+
debias: true
|
| 400 |
+
calibrater:
|
| 401 |
+
kind: imu
|
| 402 |
+
seq_name: thrice/yawForward/maxSpeed6p0
|
| 403 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 404 |
+
config:
|
| 405 |
+
window_size: ${train.window}
|
| 406 |
+
seq:
|
| 407 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 408 |
+
config:
|
| 409 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 410 |
+
device: ${meta.device}
|
| 411 |
+
dtype: ${meta.dtype}
|
| 412 |
+
acc_sigma: 0.01
|
| 413 |
+
gyro_sigma: 0.01
|
| 414 |
+
gravity: 9.81007
|
| 415 |
+
debias: true
|
| 416 |
+
calibrater:
|
| 417 |
+
kind: imu
|
| 418 |
+
seq_name: halfMoon/yawForward/maxSpeed1p5
|
| 419 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 420 |
+
config:
|
| 421 |
+
window_size: ${train.window}
|
| 422 |
+
seq:
|
| 423 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 424 |
+
config:
|
| 425 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 426 |
+
device: ${meta.device}
|
| 427 |
+
dtype: ${meta.dtype}
|
| 428 |
+
acc_sigma: 0.01
|
| 429 |
+
gyro_sigma: 0.01
|
| 430 |
+
gravity: 9.81007
|
| 431 |
+
debias: true
|
| 432 |
+
calibrater:
|
| 433 |
+
kind: imu
|
| 434 |
+
seq_name: figure8/yawConstant/maxSpeed3p25
|
| 435 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 436 |
+
config:
|
| 437 |
+
window_size: ${train.window}
|
| 438 |
+
seq:
|
| 439 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 440 |
+
config:
|
| 441 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 442 |
+
device: ${meta.device}
|
| 443 |
+
dtype: ${meta.dtype}
|
| 444 |
+
acc_sigma: 0.01
|
| 445 |
+
gyro_sigma: 0.01
|
| 446 |
+
gravity: 9.81007
|
| 447 |
+
debias: true
|
| 448 |
+
calibrater:
|
| 449 |
+
kind: imu
|
| 450 |
+
seq_name: thrice/yawForward/maxSpeed4p0
|
| 451 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 452 |
+
config:
|
| 453 |
+
window_size: ${train.window}
|
| 454 |
+
seq:
|
| 455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 456 |
+
config:
|
| 457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 458 |
+
device: ${meta.device}
|
| 459 |
+
dtype: ${meta.dtype}
|
| 460 |
+
acc_sigma: 0.01
|
| 461 |
+
gyro_sigma: 0.01
|
| 462 |
+
gravity: 9.81007
|
| 463 |
+
debias: true
|
| 464 |
+
calibrater:
|
| 465 |
+
kind: imu
|
| 466 |
+
seq_name: winter/yawForward/maxSpeed2p0
|
| 467 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 468 |
+
config:
|
| 469 |
+
window_size: ${train.window}
|
| 470 |
+
seq:
|
| 471 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 472 |
+
config:
|
| 473 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 474 |
+
device: ${meta.device}
|
| 475 |
+
dtype: ${meta.dtype}
|
| 476 |
+
acc_sigma: 0.01
|
| 477 |
+
gyro_sigma: 0.01
|
| 478 |
+
gravity: 9.81007
|
| 479 |
+
debias: true
|
| 480 |
+
calibrater:
|
| 481 |
+
kind: imu
|
| 482 |
+
seq_name: halfMoon/yawForward/maxSpeed1p0
|
| 483 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 484 |
+
config:
|
| 485 |
+
window_size: ${train.window}
|
| 486 |
+
seq:
|
| 487 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 488 |
+
config:
|
| 489 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 490 |
+
device: ${meta.device}
|
| 491 |
+
dtype: ${meta.dtype}
|
| 492 |
+
acc_sigma: 0.01
|
| 493 |
+
gyro_sigma: 0.01
|
| 494 |
+
gravity: 9.81007
|
| 495 |
+
debias: true
|
| 496 |
+
calibrater:
|
| 497 |
+
kind: imu
|
| 498 |
+
seq_name: picasso/yawConstant/maxSpeed4p0
|
| 499 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 500 |
+
config:
|
| 501 |
+
window_size: ${train.window}
|
| 502 |
+
seq:
|
| 503 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 504 |
+
config:
|
| 505 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 506 |
+
device: ${meta.device}
|
| 507 |
+
dtype: ${meta.dtype}
|
| 508 |
+
acc_sigma: 0.01
|
| 509 |
+
gyro_sigma: 0.01
|
| 510 |
+
gravity: 9.81007
|
| 511 |
+
debias: true
|
| 512 |
+
calibrater:
|
| 513 |
+
kind: imu
|
| 514 |
+
seq_name: winter/yawForward/maxSpeed4p0
|
| 515 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 516 |
+
config:
|
| 517 |
+
window_size: ${train.window}
|
| 518 |
+
seq:
|
| 519 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 520 |
+
config:
|
| 521 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 522 |
+
device: ${meta.device}
|
| 523 |
+
dtype: ${meta.dtype}
|
| 524 |
+
acc_sigma: 0.01
|
| 525 |
+
gyro_sigma: 0.01
|
| 526 |
+
gravity: 9.81007
|
| 527 |
+
debias: true
|
| 528 |
+
calibrater:
|
| 529 |
+
kind: imu
|
| 530 |
+
seq_name: sphinx/yawForward/maxSpeed1p0
|
| 531 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 532 |
+
config:
|
| 533 |
+
window_size: ${train.window}
|
| 534 |
+
seq:
|
| 535 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 536 |
+
config:
|
| 537 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 538 |
+
device: ${meta.device}
|
| 539 |
+
dtype: ${meta.dtype}
|
| 540 |
+
acc_sigma: 0.01
|
| 541 |
+
gyro_sigma: 0.01
|
| 542 |
+
gravity: 9.81007
|
| 543 |
+
debias: true
|
| 544 |
+
calibrater:
|
| 545 |
+
kind: imu
|
| 546 |
+
seq_name: picasso/yawConstant/maxSpeed1p0
|
| 547 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 548 |
+
config:
|
| 549 |
+
window_size: ${train.window}
|
| 550 |
+
seq:
|
| 551 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 552 |
+
config:
|
| 553 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 554 |
+
device: ${meta.device}
|
| 555 |
+
dtype: ${meta.dtype}
|
| 556 |
+
acc_sigma: 0.01
|
| 557 |
+
gyro_sigma: 0.01
|
| 558 |
+
gravity: 9.81007
|
| 559 |
+
debias: true
|
| 560 |
+
calibrater:
|
| 561 |
+
kind: imu
|
| 562 |
+
seq_name: mouse/yawForward/maxSpeed4p0
|
| 563 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 564 |
+
config:
|
| 565 |
+
window_size: ${train.window}
|
| 566 |
+
seq:
|
| 567 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 568 |
+
config:
|
| 569 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 570 |
+
device: ${meta.device}
|
| 571 |
+
dtype: ${meta.dtype}
|
| 572 |
+
acc_sigma: 0.01
|
| 573 |
+
gyro_sigma: 0.01
|
| 574 |
+
gravity: 9.81007
|
| 575 |
+
debias: true
|
| 576 |
+
calibrater:
|
| 577 |
+
kind: imu
|
| 578 |
+
seq_name: tiltedThrice/yawForward/maxSpeed6p0
|
| 579 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 580 |
+
config:
|
| 581 |
+
window_size: ${train.window}
|
| 582 |
+
seq:
|
| 583 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 584 |
+
config:
|
| 585 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 586 |
+
device: ${meta.device}
|
| 587 |
+
dtype: ${meta.dtype}
|
| 588 |
+
acc_sigma: 0.01
|
| 589 |
+
gyro_sigma: 0.01
|
| 590 |
+
gravity: 9.81007
|
| 591 |
+
debias: true
|
| 592 |
+
calibrater:
|
| 593 |
+
kind: imu
|
| 594 |
+
seq_name: figure8/yawConstant/maxSpeed2p0
|
| 595 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 596 |
+
config:
|
| 597 |
+
window_size: ${train.window}
|
| 598 |
+
seq:
|
| 599 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 600 |
+
config:
|
| 601 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 602 |
+
device: ${meta.device}
|
| 603 |
+
dtype: ${meta.dtype}
|
| 604 |
+
acc_sigma: 0.01
|
| 605 |
+
gyro_sigma: 0.01
|
| 606 |
+
gravity: 9.81007
|
| 607 |
+
debias: true
|
| 608 |
+
calibrater:
|
| 609 |
+
kind: imu
|
| 610 |
+
seq_name: patrick/yawForward/maxSpeed0p5
|
| 611 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 612 |
+
config:
|
| 613 |
+
window_size: ${train.window}
|
| 614 |
+
seq:
|
| 615 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 616 |
+
config:
|
| 617 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 618 |
+
device: ${meta.device}
|
| 619 |
+
dtype: ${meta.dtype}
|
| 620 |
+
acc_sigma: 0.01
|
| 621 |
+
gyro_sigma: 0.01
|
| 622 |
+
gravity: 9.81007
|
| 623 |
+
debias: true
|
| 624 |
+
calibrater:
|
| 625 |
+
kind: imu
|
| 626 |
+
seq_name: sid/yawForward/maxSpeed5p0
|
| 627 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 628 |
+
config:
|
| 629 |
+
window_size: ${train.window}
|
| 630 |
+
seq:
|
| 631 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 632 |
+
config:
|
| 633 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 634 |
+
device: ${meta.device}
|
| 635 |
+
dtype: ${meta.dtype}
|
| 636 |
+
acc_sigma: 0.01
|
| 637 |
+
gyro_sigma: 0.01
|
| 638 |
+
gravity: 9.81007
|
| 639 |
+
debias: true
|
| 640 |
+
calibrater:
|
| 641 |
+
kind: imu
|
| 642 |
+
seq_name: patrick/yawForward/maxSpeed1p0
|
| 643 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 644 |
+
config:
|
| 645 |
+
window_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.01
|
| 653 |
+
gyro_sigma: 0.01
|
| 654 |
+
gravity: 9.81007
|
| 655 |
+
debias: true
|
| 656 |
+
calibrater:
|
| 657 |
+
kind: imu
|
| 658 |
+
seq_name: tiltedThrice/yawForward/maxSpeed3p0
|
| 659 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 660 |
+
config:
|
| 661 |
+
window_size: ${train.window}
|
| 662 |
+
seq:
|
| 663 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 664 |
+
config:
|
| 665 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 666 |
+
device: ${meta.device}
|
| 667 |
+
dtype: ${meta.dtype}
|
| 668 |
+
acc_sigma: 0.01
|
| 669 |
+
gyro_sigma: 0.01
|
| 670 |
+
gravity: 9.81007
|
| 671 |
+
debias: true
|
| 672 |
+
calibrater:
|
| 673 |
+
kind: imu
|
| 674 |
+
seq_name: oval/yawForward/maxSpeed2p0
|
| 675 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 676 |
+
config:
|
| 677 |
+
window_size: ${train.window}
|
| 678 |
+
seq:
|
| 679 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 680 |
+
config:
|
| 681 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 682 |
+
device: ${meta.device}
|
| 683 |
+
dtype: ${meta.dtype}
|
| 684 |
+
acc_sigma: 0.01
|
| 685 |
+
gyro_sigma: 0.01
|
| 686 |
+
gravity: 9.81007
|
| 687 |
+
debias: true
|
| 688 |
+
calibrater:
|
| 689 |
+
kind: imu
|
| 690 |
+
seq_name: clover/yawForward/maxSpeed4p0
|
| 691 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 692 |
+
config:
|
| 693 |
+
window_size: ${train.window}
|
| 694 |
+
seq:
|
| 695 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 696 |
+
config:
|
| 697 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 698 |
+
device: ${meta.device}
|
| 699 |
+
dtype: ${meta.dtype}
|
| 700 |
+
acc_sigma: 0.01
|
| 701 |
+
gyro_sigma: 0.01
|
| 702 |
+
gravity: 9.81007
|
| 703 |
+
debias: true
|
| 704 |
+
calibrater:
|
| 705 |
+
kind: imu
|
| 706 |
+
seq_name: halfMoon/yawForward/maxSpeed4p0
|
| 707 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 708 |
+
config:
|
| 709 |
+
window_size: ${train.window}
|
| 710 |
+
seq:
|
| 711 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 712 |
+
config:
|
| 713 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 714 |
+
device: ${meta.device}
|
| 715 |
+
dtype: ${meta.dtype}
|
| 716 |
+
acc_sigma: 0.01
|
| 717 |
+
gyro_sigma: 0.01
|
| 718 |
+
gravity: 9.81007
|
| 719 |
+
debias: true
|
| 720 |
+
calibrater:
|
| 721 |
+
kind: imu
|
| 722 |
+
seq_name: sid/yawForward/maxSpeed2p0
|
| 723 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 724 |
+
config:
|
| 725 |
+
window_size: ${train.window}
|
| 726 |
+
seq:
|
| 727 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 728 |
+
config:
|
| 729 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 730 |
+
device: ${meta.device}
|
| 731 |
+
dtype: ${meta.dtype}
|
| 732 |
+
acc_sigma: 0.01
|
| 733 |
+
gyro_sigma: 0.01
|
| 734 |
+
gravity: 9.81007
|
| 735 |
+
debias: true
|
| 736 |
+
calibrater:
|
| 737 |
+
kind: imu
|
| 738 |
+
seq_name: dice/yawForward/maxSpeed3p0
|
| 739 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 740 |
+
config:
|
| 741 |
+
window_size: ${train.window}
|
| 742 |
+
seq:
|
| 743 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 744 |
+
config:
|
| 745 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 746 |
+
device: ${meta.device}
|
| 747 |
+
dtype: ${meta.dtype}
|
| 748 |
+
acc_sigma: 0.01
|
| 749 |
+
gyro_sigma: 0.01
|
| 750 |
+
gravity: 9.81007
|
| 751 |
+
debias: true
|
| 752 |
+
calibrater:
|
| 753 |
+
kind: imu
|
| 754 |
+
seq_name: halfMoon/yawForward/maxSpeed3p0
|
| 755 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 756 |
+
config:
|
| 757 |
+
window_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.01
|
| 765 |
+
gyro_sigma: 0.01
|
| 766 |
+
gravity: 9.81007
|
| 767 |
+
debias: true
|
| 768 |
+
calibrater:
|
| 769 |
+
kind: imu
|
| 770 |
+
seq_name: oval/yawForward/maxSpeed1p0
|
| 771 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 772 |
+
config:
|
| 773 |
+
window_size: ${train.window}
|
| 774 |
+
seq:
|
| 775 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 776 |
+
config:
|
| 777 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 778 |
+
device: ${meta.device}
|
| 779 |
+
dtype: ${meta.dtype}
|
| 780 |
+
acc_sigma: 0.01
|
| 781 |
+
gyro_sigma: 0.01
|
| 782 |
+
gravity: 9.81007
|
| 783 |
+
debias: true
|
| 784 |
+
calibrater:
|
| 785 |
+
kind: imu
|
| 786 |
+
seq_name: sphinx/yawForward/maxSpeed3p0
|
| 787 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 788 |
+
config:
|
| 789 |
+
window_size: ${train.window}
|
| 790 |
+
seq:
|
| 791 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 792 |
+
config:
|
| 793 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 794 |
+
device: ${meta.device}
|
| 795 |
+
dtype: ${meta.dtype}
|
| 796 |
+
acc_sigma: 0.01
|
| 797 |
+
gyro_sigma: 0.01
|
| 798 |
+
gravity: 9.81007
|
| 799 |
+
debias: true
|
| 800 |
+
calibrater:
|
| 801 |
+
kind: imu
|
| 802 |
+
seq_name: thrice/yawForward/maxSpeed3p0
|
| 803 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 804 |
+
config:
|
| 805 |
+
window_size: ${train.window}
|
| 806 |
+
seq:
|
| 807 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 808 |
+
config:
|
| 809 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 810 |
+
device: ${meta.device}
|
| 811 |
+
dtype: ${meta.dtype}
|
| 812 |
+
acc_sigma: 0.01
|
| 813 |
+
gyro_sigma: 0.01
|
| 814 |
+
gravity: 9.81007
|
| 815 |
+
debias: true
|
| 816 |
+
calibrater:
|
| 817 |
+
kind: imu
|
| 818 |
+
seq_name: oval/yawForward/maxSpeed3p0
|
| 819 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 820 |
+
config:
|
| 821 |
+
window_size: ${train.window}
|
| 822 |
+
seq:
|
| 823 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 824 |
+
config:
|
| 825 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 826 |
+
device: ${meta.device}
|
| 827 |
+
dtype: ${meta.dtype}
|
| 828 |
+
acc_sigma: 0.01
|
| 829 |
+
gyro_sigma: 0.01
|
| 830 |
+
gravity: 9.81007
|
| 831 |
+
debias: true
|
| 832 |
+
calibrater:
|
| 833 |
+
kind: imu
|
| 834 |
+
seq_name: star/yawForward/maxSpeed1p0
|
| 835 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 836 |
+
config:
|
| 837 |
+
window_size: ${train.window}
|
| 838 |
+
seq:
|
| 839 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 840 |
+
config:
|
| 841 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 842 |
+
device: ${meta.device}
|
| 843 |
+
dtype: ${meta.dtype}
|
| 844 |
+
acc_sigma: 0.01
|
| 845 |
+
gyro_sigma: 0.01
|
| 846 |
+
gravity: 9.81007
|
| 847 |
+
debias: true
|
| 848 |
+
calibrater:
|
| 849 |
+
kind: imu
|
| 850 |
+
seq_name: mouse/yawForward/maxSpeed0p5
|
| 851 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 852 |
+
config:
|
| 853 |
+
window_size: ${train.window}
|
| 854 |
+
seq:
|
| 855 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 856 |
+
config:
|
| 857 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 858 |
+
device: ${meta.device}
|
| 859 |
+
dtype: ${meta.dtype}
|
| 860 |
+
acc_sigma: 0.01
|
| 861 |
+
gyro_sigma: 0.01
|
| 862 |
+
gravity: 9.81007
|
| 863 |
+
debias: true
|
| 864 |
+
calibrater:
|
| 865 |
+
kind: imu
|
| 866 |
+
seq_name: tiltedThrice/yawForward/maxSpeed0p5
|
| 867 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 868 |
+
config:
|
| 869 |
+
window_size: ${train.window}
|
| 870 |
+
seq:
|
| 871 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 872 |
+
config:
|
| 873 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 874 |
+
device: ${meta.device}
|
| 875 |
+
dtype: ${meta.dtype}
|
| 876 |
+
acc_sigma: 0.01
|
| 877 |
+
gyro_sigma: 0.01
|
| 878 |
+
gravity: 9.81007
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
seq_name: sphinx/yawForward/maxSpeed4p0
|
| 883 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 884 |
+
config:
|
| 885 |
+
window_size: ${train.window}
|
| 886 |
+
seq:
|
| 887 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 888 |
+
config:
|
| 889 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 890 |
+
device: ${meta.device}
|
| 891 |
+
dtype: ${meta.dtype}
|
| 892 |
+
acc_sigma: 0.01
|
| 893 |
+
gyro_sigma: 0.01
|
| 894 |
+
gravity: 9.81007
|
| 895 |
+
debias: true
|
| 896 |
+
calibrater:
|
| 897 |
+
kind: imu
|
| 898 |
+
seq_name: star/yawForward/maxSpeed4p0
|
| 899 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 900 |
+
config:
|
| 901 |
+
window_size: ${train.window}
|
| 902 |
+
seq:
|
| 903 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 904 |
+
config:
|
| 905 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 906 |
+
device: ${meta.device}
|
| 907 |
+
dtype: ${meta.dtype}
|
| 908 |
+
acc_sigma: 0.01
|
| 909 |
+
gyro_sigma: 0.01
|
| 910 |
+
gravity: 9.81007
|
| 911 |
+
debias: true
|
| 912 |
+
calibrater:
|
| 913 |
+
kind: imu
|
| 914 |
+
seq_name: clover/yawForward/maxSpeed0p5
|
| 915 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 916 |
+
config:
|
| 917 |
+
window_size: ${train.window}
|
| 918 |
+
seq:
|
| 919 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 920 |
+
config:
|
| 921 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 922 |
+
device: ${meta.device}
|
| 923 |
+
dtype: ${meta.dtype}
|
| 924 |
+
acc_sigma: 0.01
|
| 925 |
+
gyro_sigma: 0.01
|
| 926 |
+
gravity: 9.81007
|
| 927 |
+
debias: true
|
| 928 |
+
calibrater:
|
| 929 |
+
kind: imu
|
| 930 |
+
seq_name: star/yawForward/maxSpeed2p0
|
| 931 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 932 |
+
config:
|
| 933 |
+
window_size: ${train.window}
|
| 934 |
+
seq:
|
| 935 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 936 |
+
config:
|
| 937 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 938 |
+
device: ${meta.device}
|
| 939 |
+
dtype: ${meta.dtype}
|
| 940 |
+
acc_sigma: 0.01
|
| 941 |
+
gyro_sigma: 0.01
|
| 942 |
+
gravity: 9.81007
|
| 943 |
+
debias: true
|
| 944 |
+
calibrater:
|
| 945 |
+
kind: imu
|
| 946 |
+
seq_name: clover/yawForward/maxSpeed1p0
|
| 947 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 948 |
+
config:
|
| 949 |
+
window_size: ${train.window}
|
| 950 |
+
seq:
|
| 951 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 952 |
+
config:
|
| 953 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 954 |
+
device: ${meta.device}
|
| 955 |
+
dtype: ${meta.dtype}
|
| 956 |
+
acc_sigma: 0.01
|
| 957 |
+
gyro_sigma: 0.01
|
| 958 |
+
gravity: 9.81007
|
| 959 |
+
debias: true
|
| 960 |
+
calibrater:
|
| 961 |
+
kind: imu
|
| 962 |
+
seq_name: clover/yawForward/maxSpeed2p0
|
| 963 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 964 |
+
config:
|
| 965 |
+
window_size: ${train.window}
|
| 966 |
+
seq:
|
| 967 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 968 |
+
config:
|
| 969 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 970 |
+
device: ${meta.device}
|
| 971 |
+
dtype: ${meta.dtype}
|
| 972 |
+
acc_sigma: 0.01
|
| 973 |
+
gyro_sigma: 0.01
|
| 974 |
+
gravity: 9.81007
|
| 975 |
+
debias: true
|
| 976 |
+
calibrater:
|
| 977 |
+
kind: imu
|
| 978 |
+
seq_name: mouse/yawForward/maxSpeed2p0
|
| 979 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 980 |
+
config:
|
| 981 |
+
window_size: ${train.window}
|
| 982 |
+
seq:
|
| 983 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 984 |
+
config:
|
| 985 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 986 |
+
device: ${meta.device}
|
| 987 |
+
dtype: ${meta.dtype}
|
| 988 |
+
acc_sigma: 0.01
|
| 989 |
+
gyro_sigma: 0.01
|
| 990 |
+
gravity: 9.81007
|
| 991 |
+
debias: true
|
| 992 |
+
calibrater:
|
| 993 |
+
kind: imu
|
| 994 |
+
seq_name: sid/yawForward/maxSpeed0p5
|
| 995 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 996 |
+
config:
|
| 997 |
+
window_size: ${train.window}
|
| 998 |
+
seq:
|
| 999 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1000 |
+
config:
|
| 1001 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1002 |
+
device: ${meta.device}
|
| 1003 |
+
dtype: ${meta.dtype}
|
| 1004 |
+
acc_sigma: 0.01
|
| 1005 |
+
gyro_sigma: 0.01
|
| 1006 |
+
gravity: 9.81007
|
| 1007 |
+
debias: true
|
| 1008 |
+
calibrater:
|
| 1009 |
+
kind: imu
|
| 1010 |
+
seq_name: tiltedThrice/yawForward/maxSpeed2p0
|
| 1011 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1012 |
+
config:
|
| 1013 |
+
window_size: ${train.window}
|
| 1014 |
+
seq:
|
| 1015 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1016 |
+
config:
|
| 1017 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1018 |
+
device: ${meta.device}
|
| 1019 |
+
dtype: ${meta.dtype}
|
| 1020 |
+
acc_sigma: 0.01
|
| 1021 |
+
gyro_sigma: 0.01
|
| 1022 |
+
gravity: 9.81007
|
| 1023 |
+
debias: true
|
| 1024 |
+
calibrater:
|
| 1025 |
+
kind: imu
|
| 1026 |
+
seq_name: tiltedThrice/yawForward/maxSpeed1p0
|
| 1027 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1028 |
+
config:
|
| 1029 |
+
window_size: ${train.window}
|
| 1030 |
+
seq:
|
| 1031 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1032 |
+
config:
|
| 1033 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1034 |
+
device: ${meta.device}
|
| 1035 |
+
dtype: ${meta.dtype}
|
| 1036 |
+
acc_sigma: 0.01
|
| 1037 |
+
gyro_sigma: 0.01
|
| 1038 |
+
gravity: 9.81007
|
| 1039 |
+
debias: true
|
| 1040 |
+
calibrater:
|
| 1041 |
+
kind: imu
|
| 1042 |
+
seq_name: thrice/yawForward/maxSpeed5p0
|
| 1043 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1044 |
+
config:
|
| 1045 |
+
window_size: ${train.window}
|
| 1046 |
+
seq:
|
| 1047 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1048 |
+
config:
|
| 1049 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1050 |
+
device: ${meta.device}
|
| 1051 |
+
dtype: ${meta.dtype}
|
| 1052 |
+
acc_sigma: 0.01
|
| 1053 |
+
gyro_sigma: 0.01
|
| 1054 |
+
gravity: 9.81007
|
| 1055 |
+
debias: true
|
| 1056 |
+
calibrater:
|
| 1057 |
+
kind: imu
|
| 1058 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed2p0
|
| 1059 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1060 |
+
config:
|
| 1061 |
+
window_size: ${train.window}
|
| 1062 |
+
seq:
|
| 1063 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1064 |
+
config:
|
| 1065 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1066 |
+
device: ${meta.device}
|
| 1067 |
+
dtype: ${meta.dtype}
|
| 1068 |
+
acc_sigma: 0.01
|
| 1069 |
+
gyro_sigma: 0.01
|
| 1070 |
+
gravity: 9.81007
|
| 1071 |
+
debias: true
|
| 1072 |
+
calibrater:
|
| 1073 |
+
kind: imu
|
| 1074 |
+
seq_name: oval/yawForward/maxSpeed4p0
|
| 1075 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1076 |
+
config:
|
| 1077 |
+
window_size: ${train.window}
|
| 1078 |
+
seq:
|
| 1079 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1080 |
+
config:
|
| 1081 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1082 |
+
device: ${meta.device}
|
| 1083 |
+
dtype: ${meta.dtype}
|
| 1084 |
+
acc_sigma: 0.01
|
| 1085 |
+
gyro_sigma: 0.01
|
| 1086 |
+
gravity: 9.81007
|
| 1087 |
+
debias: true
|
| 1088 |
+
calibrater:
|
| 1089 |
+
kind: imu
|
| 1090 |
+
seq_name: mouse/yawForward/maxSpeed1p0
|
| 1091 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1092 |
+
config:
|
| 1093 |
+
window_size: ${train.window}
|
| 1094 |
+
seq:
|
| 1095 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1096 |
+
config:
|
| 1097 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1098 |
+
device: ${meta.device}
|
| 1099 |
+
dtype: ${meta.dtype}
|
| 1100 |
+
acc_sigma: 0.01
|
| 1101 |
+
gyro_sigma: 0.01
|
| 1102 |
+
gravity: 9.81007
|
| 1103 |
+
debias: true
|
| 1104 |
+
calibrater:
|
| 1105 |
+
kind: imu
|
| 1106 |
+
seq_name: bentDice/yawForward/maxSpeed2p0
|
| 1107 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 1108 |
+
config:
|
| 1109 |
+
window_size: ${train.window}
|
| 1110 |
+
seq:
|
| 1111 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1112 |
+
config:
|
| 1113 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1114 |
+
device: ${meta.device}
|
| 1115 |
+
dtype: ${meta.dtype}
|
| 1116 |
+
acc_sigma: 0.01
|
| 1117 |
+
gyro_sigma: 0.01
|
| 1118 |
+
gravity: 9.81007
|
| 1119 |
+
debias: true
|
| 1120 |
+
calibrater:
|
| 1121 |
+
kind: imu
|
| 1122 |
+
seq_name: figure8/yawConstant/maxSpeed1p0
|
| 1123 |
+
val_dataset:
|
| 1124 |
+
_outer:
|
| 1125 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1126 |
+
config:
|
| 1127 |
+
window_size: ${train.window}
|
| 1128 |
+
step_size: ${train.window}
|
| 1129 |
+
_inner:
|
| 1130 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1131 |
+
_inner_config:
|
| 1132 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1133 |
+
device: ${meta.device}
|
| 1134 |
+
dtype: ${meta.dtype}
|
| 1135 |
+
acc_sigma: 0.01
|
| 1136 |
+
gyro_sigma: 0.01
|
| 1137 |
+
gravity: 9.81007
|
| 1138 |
+
debias: true
|
| 1139 |
+
calibrater:
|
| 1140 |
+
kind: imu
|
| 1141 |
+
sequences:
|
| 1142 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1143 |
+
config:
|
| 1144 |
+
window_size: ${train.window}
|
| 1145 |
+
step_size: ${train.window}
|
| 1146 |
+
seq:
|
| 1147 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1148 |
+
config:
|
| 1149 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1150 |
+
device: ${meta.device}
|
| 1151 |
+
dtype: ${meta.dtype}
|
| 1152 |
+
acc_sigma: 0.01
|
| 1153 |
+
gyro_sigma: 0.01
|
| 1154 |
+
gravity: 9.81007
|
| 1155 |
+
debias: true
|
| 1156 |
+
calibrater:
|
| 1157 |
+
kind: imu
|
| 1158 |
+
seq_name: tiltedThrice/yawForward/maxSpeed4p0
|
| 1159 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1160 |
+
config:
|
| 1161 |
+
window_size: ${train.window}
|
| 1162 |
+
step_size: ${train.window}
|
| 1163 |
+
seq:
|
| 1164 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1165 |
+
config:
|
| 1166 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1167 |
+
device: ${meta.device}
|
| 1168 |
+
dtype: ${meta.dtype}
|
| 1169 |
+
acc_sigma: 0.01
|
| 1170 |
+
gyro_sigma: 0.01
|
| 1171 |
+
gravity: 9.81007
|
| 1172 |
+
debias: true
|
| 1173 |
+
calibrater:
|
| 1174 |
+
kind: imu
|
| 1175 |
+
seq_name: mouse/yawForward/maxSpeed3p0
|
| 1176 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1177 |
+
config:
|
| 1178 |
+
window_size: ${train.window}
|
| 1179 |
+
step_size: ${train.window}
|
| 1180 |
+
seq:
|
| 1181 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1182 |
+
config:
|
| 1183 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1184 |
+
device: ${meta.device}
|
| 1185 |
+
dtype: ${meta.dtype}
|
| 1186 |
+
acc_sigma: 0.01
|
| 1187 |
+
gyro_sigma: 0.01
|
| 1188 |
+
gravity: 9.81007
|
| 1189 |
+
debias: true
|
| 1190 |
+
calibrater:
|
| 1191 |
+
kind: imu
|
| 1192 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed3p0
|
| 1193 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1194 |
+
config:
|
| 1195 |
+
window_size: ${train.window}
|
| 1196 |
+
step_size: ${train.window}
|
| 1197 |
+
seq:
|
| 1198 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1199 |
+
config:
|
| 1200 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1201 |
+
device: ${meta.device}
|
| 1202 |
+
dtype: ${meta.dtype}
|
| 1203 |
+
acc_sigma: 0.01
|
| 1204 |
+
gyro_sigma: 0.01
|
| 1205 |
+
gravity: 9.81007
|
| 1206 |
+
debias: true
|
| 1207 |
+
calibrater:
|
| 1208 |
+
kind: imu
|
| 1209 |
+
seq_name: 3dFigure8/yawConstant/maxSpeed5p0
|
| 1210 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1211 |
+
config:
|
| 1212 |
+
window_size: ${train.window}
|
| 1213 |
+
step_size: ${train.window}
|
| 1214 |
+
seq:
|
| 1215 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1216 |
+
config:
|
| 1217 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1218 |
+
device: ${meta.device}
|
| 1219 |
+
dtype: ${meta.dtype}
|
| 1220 |
+
acc_sigma: 0.01
|
| 1221 |
+
gyro_sigma: 0.01
|
| 1222 |
+
gravity: 9.81007
|
| 1223 |
+
debias: true
|
| 1224 |
+
calibrater:
|
| 1225 |
+
kind: imu
|
| 1226 |
+
seq_name: sid/yawForward/maxSpeed3p0
|
| 1227 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1228 |
+
config:
|
| 1229 |
+
window_size: ${train.window}
|
| 1230 |
+
step_size: ${train.window}
|
| 1231 |
+
seq:
|
| 1232 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1233 |
+
config:
|
| 1234 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1235 |
+
device: ${meta.device}
|
| 1236 |
+
dtype: ${meta.dtype}
|
| 1237 |
+
acc_sigma: 0.01
|
| 1238 |
+
gyro_sigma: 0.01
|
| 1239 |
+
gravity: 9.81007
|
| 1240 |
+
debias: true
|
| 1241 |
+
calibrater:
|
| 1242 |
+
kind: imu
|
| 1243 |
+
seq_name: halfMoon/yawForward/maxSpeed2p0
|
| 1244 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1245 |
+
config:
|
| 1246 |
+
window_size: ${train.window}
|
| 1247 |
+
step_size: ${train.window}
|
| 1248 |
+
seq:
|
| 1249 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1250 |
+
config:
|
| 1251 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1252 |
+
device: ${meta.device}
|
| 1253 |
+
dtype: ${meta.dtype}
|
| 1254 |
+
acc_sigma: 0.01
|
| 1255 |
+
gyro_sigma: 0.01
|
| 1256 |
+
gravity: 9.81007
|
| 1257 |
+
debias: true
|
| 1258 |
+
calibrater:
|
| 1259 |
+
kind: imu
|
| 1260 |
+
seq_name: star/yawForward/maxSpeed5p0
|
| 1261 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1262 |
+
config:
|
| 1263 |
+
window_size: ${train.window}
|
| 1264 |
+
step_size: ${train.window}
|
| 1265 |
+
seq:
|
| 1266 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1267 |
+
config:
|
| 1268 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1269 |
+
device: ${meta.device}
|
| 1270 |
+
dtype: ${meta.dtype}
|
| 1271 |
+
acc_sigma: 0.01
|
| 1272 |
+
gyro_sigma: 0.01
|
| 1273 |
+
gravity: 9.81007
|
| 1274 |
+
debias: true
|
| 1275 |
+
calibrater:
|
| 1276 |
+
kind: imu
|
| 1277 |
+
seq_name: star/yawForward/maxSpeed3p0
|
| 1278 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1279 |
+
config:
|
| 1280 |
+
window_size: ${train.window}
|
| 1281 |
+
step_size: ${train.window}
|
| 1282 |
+
seq:
|
| 1283 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1284 |
+
config:
|
| 1285 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1286 |
+
device: ${meta.device}
|
| 1287 |
+
dtype: ${meta.dtype}
|
| 1288 |
+
acc_sigma: 0.01
|
| 1289 |
+
gyro_sigma: 0.01
|
| 1290 |
+
gravity: 9.81007
|
| 1291 |
+
debias: true
|
| 1292 |
+
calibrater:
|
| 1293 |
+
kind: imu
|
| 1294 |
+
seq_name: patrick/yawForward/maxSpeed3p0
|
| 1295 |
+
test_dataset:
|
| 1296 |
+
_outer:
|
| 1297 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 1298 |
+
config:
|
| 1299 |
+
window_size: ${train.window}
|
| 1300 |
+
step_size: ${train.window}
|
| 1301 |
+
_inner:
|
| 1302 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1303 |
+
_inner_config:
|
| 1304 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1305 |
+
device: ${meta.device}
|
| 1306 |
+
dtype: ${meta.dtype}
|
| 1307 |
+
acc_sigma: 0.01
|
| 1308 |
+
gyro_sigma: 0.01
|
| 1309 |
+
gravity: 9.81007
|
| 1310 |
+
debias: true
|
| 1311 |
+
calibrater:
|
| 1312 |
+
kind: imu
|
| 1313 |
+
sequences:
|
| 1314 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1315 |
+
config:
|
| 1316 |
+
window_size: ${train.window}
|
| 1317 |
+
step_size: ${train.window}
|
| 1318 |
+
seq:
|
| 1319 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1320 |
+
config:
|
| 1321 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1322 |
+
device: ${meta.device}
|
| 1323 |
+
dtype: ${meta.dtype}
|
| 1324 |
+
acc_sigma: 0.01
|
| 1325 |
+
gyro_sigma: 0.01
|
| 1326 |
+
gravity: 9.81007
|
| 1327 |
+
debias: true
|
| 1328 |
+
calibrater:
|
| 1329 |
+
kind: imu
|
| 1330 |
+
seq_name: picasso/yawConstant/maxSpeed6p0
|
| 1331 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1332 |
+
config:
|
| 1333 |
+
window_size: ${train.window}
|
| 1334 |
+
step_size: ${train.window}
|
| 1335 |
+
seq:
|
| 1336 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1337 |
+
config:
|
| 1338 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1339 |
+
device: ${meta.device}
|
| 1340 |
+
dtype: ${meta.dtype}
|
| 1341 |
+
acc_sigma: 0.01
|
| 1342 |
+
gyro_sigma: 0.01
|
| 1343 |
+
gravity: 9.81007
|
| 1344 |
+
debias: true
|
| 1345 |
+
calibrater:
|
| 1346 |
+
kind: imu
|
| 1347 |
+
seq_name: picasso/yawConstant/maxSpeed2p0
|
| 1348 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1349 |
+
config:
|
| 1350 |
+
window_size: ${train.window}
|
| 1351 |
+
step_size: ${train.window}
|
| 1352 |
+
seq:
|
| 1353 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1354 |
+
config:
|
| 1355 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1356 |
+
device: ${meta.device}
|
| 1357 |
+
dtype: ${meta.dtype}
|
| 1358 |
+
acc_sigma: 0.01
|
| 1359 |
+
gyro_sigma: 0.01
|
| 1360 |
+
gravity: 9.81007
|
| 1361 |
+
debias: true
|
| 1362 |
+
calibrater:
|
| 1363 |
+
kind: imu
|
| 1364 |
+
seq_name: egg/yawForward/maxSpeed3p0
|
| 1365 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1366 |
+
config:
|
| 1367 |
+
window_size: ${train.window}
|
| 1368 |
+
step_size: ${train.window}
|
| 1369 |
+
seq:
|
| 1370 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1371 |
+
config:
|
| 1372 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1373 |
+
device: ${meta.device}
|
| 1374 |
+
dtype: ${meta.dtype}
|
| 1375 |
+
acc_sigma: 0.01
|
| 1376 |
+
gyro_sigma: 0.01
|
| 1377 |
+
gravity: 9.81007
|
| 1378 |
+
debias: true
|
| 1379 |
+
calibrater:
|
| 1380 |
+
kind: imu
|
| 1381 |
+
seq_name: clover/yawForward/maxSpeed5p0
|
| 1382 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1383 |
+
config:
|
| 1384 |
+
window_size: ${train.window}
|
| 1385 |
+
step_size: ${train.window}
|
| 1386 |
+
seq:
|
| 1387 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1388 |
+
config:
|
| 1389 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1390 |
+
device: ${meta.device}
|
| 1391 |
+
dtype: ${meta.dtype}
|
| 1392 |
+
acc_sigma: 0.01
|
| 1393 |
+
gyro_sigma: 0.01
|
| 1394 |
+
gravity: 9.81007
|
| 1395 |
+
debias: true
|
| 1396 |
+
calibrater:
|
| 1397 |
+
kind: imu
|
| 1398 |
+
seq_name: mouse/yawForward/maxSpeed6p0
|
| 1399 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1400 |
+
config:
|
| 1401 |
+
window_size: ${train.window}
|
| 1402 |
+
step_size: ${train.window}
|
| 1403 |
+
seq:
|
| 1404 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1405 |
+
config:
|
| 1406 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1407 |
+
device: ${meta.device}
|
| 1408 |
+
dtype: ${meta.dtype}
|
| 1409 |
+
acc_sigma: 0.01
|
| 1410 |
+
gyro_sigma: 0.01
|
| 1411 |
+
gravity: 9.81007
|
| 1412 |
+
debias: true
|
| 1413 |
+
calibrater:
|
| 1414 |
+
kind: imu
|
| 1415 |
+
seq_name: mouse/yawForward/maxSpeed7p0
|
| 1416 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1417 |
+
config:
|
| 1418 |
+
window_size: ${train.window}
|
| 1419 |
+
step_size: ${train.window}
|
| 1420 |
+
seq:
|
| 1421 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1422 |
+
config:
|
| 1423 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1424 |
+
device: ${meta.device}
|
| 1425 |
+
dtype: ${meta.dtype}
|
| 1426 |
+
acc_sigma: 0.01
|
| 1427 |
+
gyro_sigma: 0.01
|
| 1428 |
+
gravity: 9.81007
|
| 1429 |
+
debias: true
|
| 1430 |
+
calibrater:
|
| 1431 |
+
kind: imu
|
| 1432 |
+
seq_name: bentDice/yawForward/maxSpeed1p0
|
| 1433 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1434 |
+
config:
|
| 1435 |
+
window_size: ${train.window}
|
| 1436 |
+
step_size: ${train.window}
|
| 1437 |
+
seq:
|
| 1438 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1439 |
+
config:
|
| 1440 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1441 |
+
device: ${meta.device}
|
| 1442 |
+
dtype: ${meta.dtype}
|
| 1443 |
+
acc_sigma: 0.01
|
| 1444 |
+
gyro_sigma: 0.01
|
| 1445 |
+
gravity: 9.81007
|
| 1446 |
+
debias: true
|
| 1447 |
+
calibrater:
|
| 1448 |
+
kind: imu
|
| 1449 |
+
seq_name: picasso/yawConstant/maxSpeed3p0
|
| 1450 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 1451 |
+
config:
|
| 1452 |
+
window_size: ${train.window}
|
| 1453 |
+
step_size: ${train.window}
|
| 1454 |
+
seq:
|
| 1455 |
+
_target_: Sequence.BlackBird.BlackBird_Sequence
|
| 1456 |
+
config:
|
| 1457 |
+
data_root: ${host_env:DATA_ROOT}/BlackBird
|
| 1458 |
+
device: ${meta.device}
|
| 1459 |
+
dtype: ${meta.dtype}
|
| 1460 |
+
acc_sigma: 0.01
|
| 1461 |
+
gyro_sigma: 0.01
|
| 1462 |
+
gravity: 9.81007
|
| 1463 |
+
debias: true
|
| 1464 |
+
calibrater:
|
| 1465 |
+
kind: imu
|
| 1466 |
+
seq_name: bentDice/yawForward/maxSpeed3p0
|
| 1467 |
+
optimizer:
|
| 1468 |
+
_target_: torch.optim.AdamW
|
| 1469 |
+
lr: ${train.lr}
|
| 1470 |
+
weight_decay: ${train.decay}
|
| 1471 |
+
fused: true
|
| 1472 |
+
scheduler:
|
| 1473 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 1474 |
+
factor: 1.0
|
| 1475 |
+
total_iters: 0
|
| 1476 |
+
network:
|
| 1477 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 1478 |
+
k_list:
|
| 1479 |
+
- 7
|
| 1480 |
+
- 7
|
| 1481 |
+
s_list:
|
| 1482 |
+
- 3
|
| 1483 |
+
- 3
|
| 1484 |
+
p_list:
|
| 1485 |
+
- 3
|
| 1486 |
+
- 3
|
| 1487 |
+
imu_encoder_channels:
|
| 1488 |
+
- 32
|
| 1489 |
+
- 64
|
| 1490 |
+
fusion_dim: 64
|
| 1491 |
+
gru1_hidden: 64
|
| 1492 |
+
gru2_hidden: 128
|
| 1493 |
+
decoder_hidden: 128
|
| 1494 |
+
bidirectional: true
|
| 1495 |
+
num_imus: 1
|
| 1496 |
+
imu_input: raw
|
| 1497 |
+
graph:
|
| 1498 |
+
_target_: Optimizer.sparse_pgo.Sparse_IMUPGOGraph
|
| 1499 |
+
anchor_weight: 1000000.0
|
| 1500 |
+
vel_prior_weight: 1000000.0
|
| 1501 |
+
max_iter: 10
|
| 1502 |
+
tol: 1.0e-05
|
| 1503 |
+
obs_reject_chi2: null
|
| 1504 |
+
obs_reject_all: true
|
| 1505 |
+
loss:
|
| 1506 |
+
_target_: Loss.adapt.Adapt_MSE_Loss
|
| 1507 |
+
modality:
|
| 1508 |
+
use_aux_imu: true
|
| 1509 |
+
use_joints: true
|
| 1510 |
+
train:
|
| 1511 |
+
lr: 5.0e-05
|
| 1512 |
+
decay: 0.001
|
| 1513 |
+
batch: 512
|
| 1514 |
+
epoch: 30
|
| 1515 |
+
window: 1024
|
| 1516 |
+
step_size: 252
|
| 1517 |
+
ema: true
|
| 1518 |
+
ema_decay: 0.8
|
| 1519 |
+
freeze_bn: false
|
| 1520 |
+
gravity: 9.81007
|
| 1521 |
+
checkpoint_every_epochs: 1
|
| 1522 |
+
plot_every_epochs: 5
|
| 1523 |
+
test_every_epochs: 1
|
| 1524 |
+
label_refresh_every_steps: 1000000000
|
| 1525 |
+
label_batch_windows: 64
|
| 1526 |
+
label_obs_sigma: 2.0
|
| 1527 |
+
dv_imu_input: corrected
|
| 1528 |
+
pgo_gyro_sigma: null
|
| 1529 |
+
pgo_acc_sigma: null
|
| 1530 |
+
zupt_sigma: 0.0
|
| 1531 |
+
zupt_weight: 0.0
|
| 1532 |
+
zupt_gate: imu
|
| 1533 |
+
zupt_sched_enable: false
|
| 1534 |
+
zupt_sched_start: null
|
| 1535 |
+
zupt_sched_end: null
|
| 1536 |
+
resume_from: file:/tmp/resume.ckpt
|
| 1537 |
+
meta:
|
| 1538 |
+
device: ${as_device:'cuda:0'}
|
| 1539 |
+
dtype: ${as_dtype:'fp32'}
|
| 1540 |
+
wandb:
|
| 1541 |
+
project: SSIO
|
| 1542 |
+
mode: online
|
| 1543 |
+
name: 2b-blackbird-imu
|
blackbird/ssio_pgd/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_adapt_traj/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- train.resume_from=file:/tmp/resume.ckpt
|
| 117 |
+
- graph=sparse_imupgo
|
| 118 |
+
- loss=adapt_mse
|
| 119 |
+
- train.batch=512
|
| 120 |
+
- train.lr=5e-5
|
| 121 |
+
- train.checkpoint_every_epochs=1
|
| 122 |
+
- train.plot_every_epochs=5
|
| 123 |
+
- train.epoch=30
|
| 124 |
+
- train.label_obs_sigma=2.0
|
| 125 |
+
- train.dv_imu_input=corrected
|
| 126 |
+
- network=airio_imu_only
|
| 127 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 128 |
+
- dataset@val_dataset=BlackBird_Valid
|
| 129 |
+
- dataset@test_dataset=BlackBird_Test
|
| 130 |
+
- +wandb.name=2b-blackbird-imu
|
| 131 |
+
job:
|
| 132 |
+
name: train_step2b_adapt
|
| 133 |
+
chdir: false
|
| 134 |
+
override_dirname: +wandb.name=2b-blackbird-imu,dataset@test_dataset=BlackBird_Test,dataset@train_dataset=BlackBird_Train_Randomized,dataset@val_dataset=BlackBird_Valid,graph=sparse_imupgo,loss=adapt_mse,network=airio_imu_only,train.batch=512,train.checkpoint_every_epochs=1,train.dv_imu_input=corrected,train.epoch=30,train.label_obs_sigma=2.0,train.lr=5e-5,train.plot_every_epochs=5,train.resume_from=file:/tmp/resume.ckpt
|
| 135 |
+
id: ???
|
| 136 |
+
num: ???
|
| 137 |
+
config_name: train_adapt_traj
|
| 138 |
+
env_set: {}
|
| 139 |
+
env_copy: []
|
| 140 |
+
config:
|
| 141 |
+
override_dirname:
|
| 142 |
+
kv_sep: '='
|
| 143 |
+
item_sep: ','
|
| 144 |
+
exclude_keys: []
|
| 145 |
+
runtime:
|
| 146 |
+
version: 1.3.2
|
| 147 |
+
version_base: '1.3'
|
| 148 |
+
cwd: .
|
| 149 |
+
config_sources:
|
| 150 |
+
- path: hydra.conf
|
| 151 |
+
schema: pkg
|
| 152 |
+
provider: hydra
|
| 153 |
+
- path: ./Config
|
| 154 |
+
schema: file
|
| 155 |
+
provider: main
|
| 156 |
+
- path: ./Config
|
| 157 |
+
schema: file
|
| 158 |
+
provider: hydra.searchpath in main
|
| 159 |
+
- path: ''
|
| 160 |
+
schema: structured
|
| 161 |
+
provider: schema
|
| 162 |
+
output_dir: ./experiments/train_adapt_traj/BlackBird_Train_Randomized/20260914_082110
|
| 163 |
+
choices:
|
| 164 |
+
loss: adapt_mse
|
| 165 |
+
graph: sparse_imupgo
|
| 166 |
+
network: airio_imu_only
|
| 167 |
+
scheduler: constant
|
| 168 |
+
optimizer: adamw
|
| 169 |
+
dataset@test_dataset: BlackBird_Test
|
| 170 |
+
dataset@val_dataset: BlackBird_Valid
|
| 171 |
+
dataset@train_dataset: BlackBird_Train_Randomized
|
| 172 |
+
hydra/env: default
|
| 173 |
+
hydra/callbacks: null
|
| 174 |
+
hydra/job_logging: default
|
| 175 |
+
hydra/hydra_logging: default
|
| 176 |
+
hydra/hydra_help: default
|
| 177 |
+
hydra/help: default
|
| 178 |
+
hydra/sweeper: basic
|
| 179 |
+
hydra/launcher: basic
|
| 180 |
+
hydra/output: default
|
| 181 |
+
verbose: false
|
blackbird/ssio_pgd/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- train.resume_from=file:/tmp/resume.ckpt
|
| 2 |
+
- graph=sparse_imupgo
|
| 3 |
+
- loss=adapt_mse
|
| 4 |
+
- train.batch=512
|
| 5 |
+
- train.lr=5e-5
|
| 6 |
+
- train.checkpoint_every_epochs=1
|
| 7 |
+
- train.plot_every_epochs=5
|
| 8 |
+
- train.epoch=30
|
| 9 |
+
- train.label_obs_sigma=2.0
|
| 10 |
+
- train.dv_imu_input=corrected
|
| 11 |
+
- network=airio_imu_only
|
| 12 |
+
- dataset@train_dataset=BlackBird_Train_Randomized
|
| 13 |
+
- dataset@val_dataset=BlackBird_Valid
|
| 14 |
+
- dataset@test_dataset=BlackBird_Test
|
| 15 |
+
- +wandb.name=2b-blackbird-imu
|
blackbird/ssio_pgd/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6ea75adbb3e0310b5d87962e199547748b2c7ca190a35456becfddbe10ee988
|
| 3 |
+
size 1355061
|
calibration/grand_tour/anymal_imu_gt_offsets_per_imu.json
ADDED
|
@@ -0,0 +1,2036 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"method": "gyro-magnitude vs cpt7 GT attitude-rate cross-correlation on a uniform grid",
|
| 3 |
+
"sign": "offset_ms = value to ADD to that IMU's timestamps to align onto the cpt7 GT signal",
|
| 4 |
+
"note": "conflates clock skew + per-sensor gyro group delay + Inertial-Explorer GT latency; cpt7_imu (co-located with GT) is itself nonzero, so these are signal-alignment values",
|
| 5 |
+
"params": {
|
| 6 |
+
"probe_rate_hz": 200.0,
|
| 7 |
+
"max_lag_s": 0.05,
|
| 8 |
+
"min_corr": 0.5,
|
| 9 |
+
"mad_k": 3.0,
|
| 10 |
+
"n_gnss_missions": 39
|
| 11 |
+
},
|
| 12 |
+
"sign_self_test": {
|
| 13 |
+
"recovered_L_samples": 4.0,
|
| 14 |
+
"expected": 4.0,
|
| 15 |
+
"corr": 1.0
|
| 16 |
+
},
|
| 17 |
+
"per_imu": {
|
| 18 |
+
"anymal_imu": {
|
| 19 |
+
"n_missions": 39,
|
| 20 |
+
"n_error": 0,
|
| 21 |
+
"n_low_corr": 0,
|
| 22 |
+
"n_mad_outliers": 0,
|
| 23 |
+
"n_outliers_total": 0,
|
| 24 |
+
"n_used": 39,
|
| 25 |
+
"mean_ms": -3.6131538461538466,
|
| 26 |
+
"std_ms": 0.16250563366129775,
|
| 27 |
+
"median_ms": -3.626,
|
| 28 |
+
"min_ms": -3.905,
|
| 29 |
+
"max_ms": -3.229,
|
| 30 |
+
"offset_to_add_s": -0.0036131538461538467
|
| 31 |
+
},
|
| 32 |
+
"stim320_imu": {
|
| 33 |
+
"n_missions": 39,
|
| 34 |
+
"n_error": 0,
|
| 35 |
+
"n_low_corr": 0,
|
| 36 |
+
"n_mad_outliers": 5,
|
| 37 |
+
"n_outliers_total": 5,
|
| 38 |
+
"n_used": 34,
|
| 39 |
+
"mean_ms": -5.055470588235294,
|
| 40 |
+
"std_ms": 0.5063596898177922,
|
| 41 |
+
"median_ms": -5.056,
|
| 42 |
+
"min_ms": -6.153,
|
| 43 |
+
"max_ms": -3.792,
|
| 44 |
+
"offset_to_add_s": -0.005055470588235294
|
| 45 |
+
},
|
| 46 |
+
"adis_imu": {
|
| 47 |
+
"n_missions": 39,
|
| 48 |
+
"n_error": 0,
|
| 49 |
+
"n_low_corr": 0,
|
| 50 |
+
"n_mad_outliers": 3,
|
| 51 |
+
"n_outliers_total": 3,
|
| 52 |
+
"n_used": 36,
|
| 53 |
+
"mean_ms": -3.7363888888888894,
|
| 54 |
+
"std_ms": 0.0997520577024505,
|
| 55 |
+
"median_ms": -3.7365,
|
| 56 |
+
"min_ms": -3.907,
|
| 57 |
+
"max_ms": -3.524,
|
| 58 |
+
"offset_to_add_s": -0.0037363888888888894
|
| 59 |
+
},
|
| 60 |
+
"alphasense_imu": {
|
| 61 |
+
"n_missions": 39,
|
| 62 |
+
"n_error": 0,
|
| 63 |
+
"n_low_corr": 0,
|
| 64 |
+
"n_mad_outliers": 1,
|
| 65 |
+
"n_outliers_total": 1,
|
| 66 |
+
"n_used": 38,
|
| 67 |
+
"mean_ms": -1.700684210526316,
|
| 68 |
+
"std_ms": 0.12795187128594915,
|
| 69 |
+
"median_ms": -1.738,
|
| 70 |
+
"min_ms": -1.912,
|
| 71 |
+
"max_ms": -1.405,
|
| 72 |
+
"offset_to_add_s": -0.001700684210526316
|
| 73 |
+
},
|
| 74 |
+
"livox_imu": {
|
| 75 |
+
"n_missions": 39,
|
| 76 |
+
"n_error": 0,
|
| 77 |
+
"n_low_corr": 0,
|
| 78 |
+
"n_mad_outliers": 1,
|
| 79 |
+
"n_outliers_total": 1,
|
| 80 |
+
"n_used": 38,
|
| 81 |
+
"mean_ms": -9.385473684210528,
|
| 82 |
+
"std_ms": 0.23806820926309216,
|
| 83 |
+
"median_ms": -9.416,
|
| 84 |
+
"min_ms": -9.855,
|
| 85 |
+
"max_ms": -8.814,
|
| 86 |
+
"offset_to_add_s": -0.009385473684210527
|
| 87 |
+
},
|
| 88 |
+
"ap20_imu": {
|
| 89 |
+
"n_missions": 39,
|
| 90 |
+
"n_error": 0,
|
| 91 |
+
"n_low_corr": 0,
|
| 92 |
+
"n_mad_outliers": 1,
|
| 93 |
+
"n_outliers_total": 1,
|
| 94 |
+
"n_used": 38,
|
| 95 |
+
"mean_ms": -4.097000000000001,
|
| 96 |
+
"std_ms": 0.1288556703594521,
|
| 97 |
+
"median_ms": -4.1129999999999995,
|
| 98 |
+
"min_ms": -4.372,
|
| 99 |
+
"max_ms": -3.809,
|
| 100 |
+
"offset_to_add_s": -0.004097000000000002
|
| 101 |
+
},
|
| 102 |
+
"cpt7_imu": {
|
| 103 |
+
"n_missions": 39,
|
| 104 |
+
"n_error": 4,
|
| 105 |
+
"n_low_corr": 0,
|
| 106 |
+
"n_mad_outliers": 4,
|
| 107 |
+
"n_outliers_total": 8,
|
| 108 |
+
"n_used": 31,
|
| 109 |
+
"mean_ms": -5.001709677419355,
|
| 110 |
+
"std_ms": 0.019774046202682017,
|
| 111 |
+
"median_ms": -5.004,
|
| 112 |
+
"min_ms": -5.044,
|
| 113 |
+
"max_ms": -4.961,
|
| 114 |
+
"offset_to_add_s": -0.005001709677419355
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"per_mission": {
|
| 118 |
+
"anymal_imu": [
|
| 119 |
+
{
|
| 120 |
+
"seq": "2024-11-02-17-10-25",
|
| 121 |
+
"code": "SPX-1",
|
| 122 |
+
"offset_ms": -3.229,
|
| 123 |
+
"corr": 0.987,
|
| 124 |
+
"used": true
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"seq": "2024-11-02-17-18-32",
|
| 128 |
+
"code": "SPX-2",
|
| 129 |
+
"offset_ms": -3.442,
|
| 130 |
+
"corr": 0.992,
|
| 131 |
+
"used": true
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"seq": "2024-11-02-17-43-10",
|
| 135 |
+
"code": "SPX-3",
|
| 136 |
+
"offset_ms": -3.298,
|
| 137 |
+
"corr": 0.998,
|
| 138 |
+
"used": true
|
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| 1723 |
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| 1724 |
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| 1725 |
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|
| 1726 |
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| 1728 |
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| 1729 |
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| 1730 |
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| 1731 |
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|
| 1732 |
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|
| 1733 |
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|
| 1734 |
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| 1735 |
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| 1739 |
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| 1740 |
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| 1741 |
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| 1746 |
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|
| 1747 |
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| 1749 |
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| 1754 |
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| 1760 |
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| 1766 |
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|
| 1767 |
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| 1768 |
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|
| 1769 |
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|
| 1770 |
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| 1771 |
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| 1775 |
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| 1776 |
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|
| 1777 |
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|
| 1778 |
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| 1779 |
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| 1780 |
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| 1781 |
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|
| 1782 |
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| 1785 |
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| 1787 |
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|
| 1788 |
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| 1789 |
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| 1790 |
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| 1793 |
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|
| 1794 |
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|
| 1795 |
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|
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"seq": "2024-11-03-07-57-34",
|
| 1797 |
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|
| 1798 |
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|
| 1799 |
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|
| 1800 |
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{
|
| 1801 |
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|
| 1802 |
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| 1803 |
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|
| 1804 |
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|
| 1805 |
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|
| 1806 |
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|
| 1807 |
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{
|
| 1808 |
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"seq": "2024-11-02-21-12-51",
|
| 1809 |
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|
| 1810 |
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|
| 1811 |
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|
| 1812 |
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|
| 1813 |
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},
|
| 1814 |
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{
|
| 1815 |
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"seq": "2024-11-03-13-51-43",
|
| 1816 |
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"code": "EIG-1",
|
| 1817 |
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"error": "RuntimeError: topic absent"
|
| 1818 |
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},
|
| 1819 |
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{
|
| 1820 |
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"seq": "2024-11-03-13-59-54",
|
| 1821 |
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"code": "EIG-2",
|
| 1822 |
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|
| 1823 |
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"corr": 0.997,
|
| 1824 |
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"used": true
|
| 1825 |
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|
| 1826 |
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{
|
| 1827 |
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"seq": "2024-11-04-12-55-59",
|
| 1828 |
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"code": "CYN-1",
|
| 1829 |
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"offset_ms": -4.979,
|
| 1830 |
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"corr": 0.998,
|
| 1831 |
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"used": true
|
| 1832 |
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},
|
| 1833 |
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{
|
| 1834 |
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"seq": "2024-11-04-13-07-13",
|
| 1835 |
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|
| 1836 |
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|
| 1837 |
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"corr": 0.996,
|
| 1838 |
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"used": true
|
| 1839 |
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},
|
| 1840 |
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{
|
| 1841 |
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"seq": "2024-11-11-12-07-40",
|
| 1842 |
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"code": "PIL-1",
|
| 1843 |
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|
| 1844 |
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"corr": 0.997,
|
| 1845 |
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"used": true
|
| 1846 |
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},
|
| 1847 |
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{
|
| 1848 |
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"seq": "2024-11-11-12-42-47",
|
| 1849 |
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"code": "PIL-2",
|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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"used": true
|
| 1853 |
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},
|
| 1854 |
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{
|
| 1855 |
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"seq": "2024-11-14-11-17-02",
|
| 1856 |
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"code": "HOEB-1",
|
| 1857 |
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"offset_ms": -4.996,
|
| 1858 |
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"corr": 1.0,
|
| 1859 |
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"used": true
|
| 1860 |
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},
|
| 1861 |
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{
|
| 1862 |
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"seq": "2024-11-14-14-36-02",
|
| 1863 |
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"code": "KAEB-1",
|
| 1864 |
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"offset_ms": -5.064,
|
| 1865 |
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"corr": 0.999,
|
| 1866 |
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"used": true
|
| 1867 |
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},
|
| 1868 |
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{
|
| 1869 |
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"seq": "2024-11-14-15-22-43",
|
| 1870 |
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"code": "KAEB-2",
|
| 1871 |
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|
| 1872 |
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"corr": 0.999,
|
| 1873 |
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"used": true
|
| 1874 |
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},
|
| 1875 |
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{
|
| 1876 |
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"seq": "2024-11-14-16-04-09",
|
| 1877 |
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"code": "KAEB-3",
|
| 1878 |
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"offset_ms": -5.001,
|
| 1879 |
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"corr": 0.999,
|
| 1880 |
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"used": true
|
| 1881 |
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},
|
| 1882 |
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{
|
| 1883 |
+
"seq": "2024-11-15-11-18-14",
|
| 1884 |
+
"code": "ALB-1",
|
| 1885 |
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"offset_ms": -5.02,
|
| 1886 |
+
"corr": 0.986,
|
| 1887 |
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"used": true
|
| 1888 |
+
},
|
| 1889 |
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{
|
| 1890 |
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"seq": "2024-11-15-11-37-15",
|
| 1891 |
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"code": "ALB-2",
|
| 1892 |
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"offset_ms": -5.012,
|
| 1893 |
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"corr": 0.999,
|
| 1894 |
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"used": true
|
| 1895 |
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},
|
| 1896 |
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{
|
| 1897 |
+
"seq": "2024-11-15-12-06-03",
|
| 1898 |
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"code": "ALB-3",
|
| 1899 |
+
"offset_ms": -5.004,
|
| 1900 |
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"corr": 0.998,
|
| 1901 |
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"used": true
|
| 1902 |
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},
|
| 1903 |
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{
|
| 1904 |
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"seq": "2024-11-15-14-14-12",
|
| 1905 |
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"code": "LMB-1",
|
| 1906 |
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"offset_ms": -4.991,
|
| 1907 |
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"corr": 0.993,
|
| 1908 |
+
"used": true
|
| 1909 |
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},
|
| 1910 |
+
{
|
| 1911 |
+
"seq": "2024-11-15-14-43-52",
|
| 1912 |
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"code": "LMB-2",
|
| 1913 |
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"offset_ms": -5.028,
|
| 1914 |
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"corr": 0.999,
|
| 1915 |
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"used": true
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"seq": "2024-11-18-12-05-01",
|
| 1919 |
+
"code": "ARC-1",
|
| 1920 |
+
"offset_ms": -4.961,
|
| 1921 |
+
"corr": 0.999,
|
| 1922 |
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"used": true
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"seq": "2024-11-18-13-22-14",
|
| 1926 |
+
"code": "ARC-2",
|
| 1927 |
+
"error": "RuntimeError: topic absent"
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"seq": "2024-11-18-13-48-19",
|
| 1931 |
+
"code": "ARC-3",
|
| 1932 |
+
"offset_ms": -5.008,
|
| 1933 |
+
"corr": 0.999,
|
| 1934 |
+
"used": true
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"seq": "2024-11-18-15-46-05",
|
| 1938 |
+
"code": "ARC-4",
|
| 1939 |
+
"offset_ms": -5.002,
|
| 1940 |
+
"corr": 1.0,
|
| 1941 |
+
"used": true
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"seq": "2024-11-18-16-59-23",
|
| 1945 |
+
"code": "ARC-5",
|
| 1946 |
+
"offset_ms": -5.038,
|
| 1947 |
+
"corr": 0.999,
|
| 1948 |
+
"used": true
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"seq": "2024-12-03-13-15-38",
|
| 1952 |
+
"code": "SBB-1",
|
| 1953 |
+
"offset_ms": -5.019,
|
| 1954 |
+
"corr": 0.999,
|
| 1955 |
+
"used": true
|
| 1956 |
+
},
|
| 1957 |
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{
|
| 1958 |
+
"seq": "2024-12-03-13-26-40",
|
| 1959 |
+
"code": "SBB-2",
|
| 1960 |
+
"offset_ms": -5.015,
|
| 1961 |
+
"corr": 0.999,
|
| 1962 |
+
"used": true
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"seq": "2024-11-14-13-45-37",
|
| 1966 |
+
"code": "HEAP-1",
|
| 1967 |
+
"offset_ms": -5.011,
|
| 1968 |
+
"corr": 0.999,
|
| 1969 |
+
"used": true
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"seq": "2024-11-15-10-16-35",
|
| 1973 |
+
"code": "TRIM-1",
|
| 1974 |
+
"offset_ms": -5.011,
|
| 1975 |
+
"corr": 0.998,
|
| 1976 |
+
"used": true
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"seq": "2024-11-15-16-41-14",
|
| 1980 |
+
"code": "LEE-1",
|
| 1981 |
+
"offset_ms": -5.006,
|
| 1982 |
+
"corr": 0.999,
|
| 1983 |
+
"used": true
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"seq": "2024-10-01-11-29-55",
|
| 1987 |
+
"code": "ETH-1",
|
| 1988 |
+
"offset_ms": -5.063,
|
| 1989 |
+
"corr": 0.998,
|
| 1990 |
+
"used": true
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"seq": "2024-10-01-12-00-49",
|
| 1994 |
+
"code": "ETH-3",
|
| 1995 |
+
"offset_ms": -5.044,
|
| 1996 |
+
"corr": 0.999,
|
| 1997 |
+
"used": true
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"seq": "2024-11-25-14-57-08",
|
| 2001 |
+
"code": "LEICA-1",
|
| 2002 |
+
"offset_ms": -4.981,
|
| 2003 |
+
"corr": 0.999,
|
| 2004 |
+
"used": true
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"seq": "2024-11-25-16-36-19",
|
| 2008 |
+
"code": "LEICA-2",
|
| 2009 |
+
"offset_ms": -5.001,
|
| 2010 |
+
"corr": 1.0,
|
| 2011 |
+
"used": true
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"seq": "2024-11-04-16-05-00",
|
| 2015 |
+
"code": "HIL-1",
|
| 2016 |
+
"offset_ms": -4.966,
|
| 2017 |
+
"corr": 0.999,
|
| 2018 |
+
"used": true
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"seq": "2024-11-04-10-57-34",
|
| 2022 |
+
"code": "GRI-1",
|
| 2023 |
+
"offset_ms": -4.987,
|
| 2024 |
+
"corr": 0.999,
|
| 2025 |
+
"used": true
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"seq": "2024-11-11-14-29-44",
|
| 2029 |
+
"code": "ROOT-1",
|
| 2030 |
+
"offset_ms": -5.008,
|
| 2031 |
+
"corr": 0.998,
|
| 2032 |
+
"used": true
|
| 2033 |
+
}
|
| 2034 |
+
]
|
| 2035 |
+
}
|
| 2036 |
+
}
|
euroc/airio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,419 @@
|
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|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
debias: true
|
| 15 |
+
calibrater:
|
| 16 |
+
kind: imu
|
| 17 |
+
gravity: 9.81007
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
debias: true
|
| 31 |
+
calibrater:
|
| 32 |
+
kind: imu
|
| 33 |
+
gravity: 9.81007
|
| 34 |
+
seq_name: V1_02_medium
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
debias: true
|
| 47 |
+
calibrater:
|
| 48 |
+
kind: imu
|
| 49 |
+
gravity: 9.81007
|
| 50 |
+
seq_name: V2_01_easy
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
debias: true
|
| 63 |
+
calibrater:
|
| 64 |
+
kind: imu
|
| 65 |
+
gravity: 9.81007
|
| 66 |
+
seq_name: V2_03_difficult
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
debias: true
|
| 79 |
+
calibrater:
|
| 80 |
+
kind: imu
|
| 81 |
+
gravity: 9.81007
|
| 82 |
+
seq_name: MH_03_medium
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gravity: 9.81007
|
| 98 |
+
seq_name: MH_05_difficult
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
debias: true
|
| 111 |
+
calibrater:
|
| 112 |
+
kind: imu
|
| 113 |
+
gravity: 9.81007
|
| 114 |
+
seq_name: MH_01_easy
|
| 115 |
+
eval_dataset:
|
| 116 |
+
_outer:
|
| 117 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 118 |
+
config:
|
| 119 |
+
window_size: ${train.window}
|
| 120 |
+
step_size: ${train.window}
|
| 121 |
+
_inner:
|
| 122 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 123 |
+
_inner_config:
|
| 124 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 125 |
+
device: ${meta.device}
|
| 126 |
+
dtype: ${meta.dtype}
|
| 127 |
+
acc_sigma: 0.01
|
| 128 |
+
gyro_sigma: 0.01
|
| 129 |
+
debias: true
|
| 130 |
+
calibrater:
|
| 131 |
+
kind: imu
|
| 132 |
+
gravity: 9.81007
|
| 133 |
+
sequences:
|
| 134 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 135 |
+
config:
|
| 136 |
+
window_size: ${train.window}
|
| 137 |
+
step_size: ${train.window}
|
| 138 |
+
seq:
|
| 139 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 140 |
+
config:
|
| 141 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 142 |
+
device: ${meta.device}
|
| 143 |
+
dtype: ${meta.dtype}
|
| 144 |
+
acc_sigma: 0.01
|
| 145 |
+
gyro_sigma: 0.01
|
| 146 |
+
debias: true
|
| 147 |
+
calibrater:
|
| 148 |
+
kind: imu
|
| 149 |
+
gravity: 9.81007
|
| 150 |
+
seq_name: V1_02_medium
|
| 151 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 152 |
+
config:
|
| 153 |
+
window_size: ${train.window}
|
| 154 |
+
step_size: ${train.window}
|
| 155 |
+
seq:
|
| 156 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 157 |
+
config:
|
| 158 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 159 |
+
device: ${meta.device}
|
| 160 |
+
dtype: ${meta.dtype}
|
| 161 |
+
acc_sigma: 0.01
|
| 162 |
+
gyro_sigma: 0.01
|
| 163 |
+
debias: true
|
| 164 |
+
calibrater:
|
| 165 |
+
kind: imu
|
| 166 |
+
gravity: 9.81007
|
| 167 |
+
seq_name: V2_01_easy
|
| 168 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 169 |
+
config:
|
| 170 |
+
window_size: ${train.window}
|
| 171 |
+
step_size: ${train.window}
|
| 172 |
+
seq:
|
| 173 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 174 |
+
config:
|
| 175 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 176 |
+
device: ${meta.device}
|
| 177 |
+
dtype: ${meta.dtype}
|
| 178 |
+
acc_sigma: 0.01
|
| 179 |
+
gyro_sigma: 0.01
|
| 180 |
+
debias: true
|
| 181 |
+
calibrater:
|
| 182 |
+
kind: imu
|
| 183 |
+
gravity: 9.81007
|
| 184 |
+
seq_name: V2_03_difficult
|
| 185 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
step_size: ${train.window}
|
| 189 |
+
seq:
|
| 190 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 191 |
+
config:
|
| 192 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 193 |
+
device: ${meta.device}
|
| 194 |
+
dtype: ${meta.dtype}
|
| 195 |
+
acc_sigma: 0.01
|
| 196 |
+
gyro_sigma: 0.01
|
| 197 |
+
debias: true
|
| 198 |
+
calibrater:
|
| 199 |
+
kind: imu
|
| 200 |
+
gravity: 9.81007
|
| 201 |
+
seq_name: MH_03_medium
|
| 202 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 203 |
+
config:
|
| 204 |
+
window_size: ${train.window}
|
| 205 |
+
step_size: ${train.window}
|
| 206 |
+
seq:
|
| 207 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 208 |
+
config:
|
| 209 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 210 |
+
device: ${meta.device}
|
| 211 |
+
dtype: ${meta.dtype}
|
| 212 |
+
acc_sigma: 0.01
|
| 213 |
+
gyro_sigma: 0.01
|
| 214 |
+
debias: true
|
| 215 |
+
calibrater:
|
| 216 |
+
kind: imu
|
| 217 |
+
gravity: 9.81007
|
| 218 |
+
seq_name: MH_05_difficult
|
| 219 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 220 |
+
config:
|
| 221 |
+
window_size: ${train.window}
|
| 222 |
+
step_size: ${train.window}
|
| 223 |
+
seq:
|
| 224 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 225 |
+
config:
|
| 226 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 227 |
+
device: ${meta.device}
|
| 228 |
+
dtype: ${meta.dtype}
|
| 229 |
+
acc_sigma: 0.01
|
| 230 |
+
gyro_sigma: 0.01
|
| 231 |
+
debias: true
|
| 232 |
+
calibrater:
|
| 233 |
+
kind: imu
|
| 234 |
+
gravity: 9.81007
|
| 235 |
+
seq_name: MH_01_easy
|
| 236 |
+
test_dataset:
|
| 237 |
+
_outer:
|
| 238 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 239 |
+
config:
|
| 240 |
+
window_size: ${train.window}
|
| 241 |
+
step_size: ${train.window}
|
| 242 |
+
_inner:
|
| 243 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 244 |
+
_inner_config:
|
| 245 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 246 |
+
device: ${meta.device}
|
| 247 |
+
dtype: ${meta.dtype}
|
| 248 |
+
acc_sigma: 0.01
|
| 249 |
+
gyro_sigma: 0.01
|
| 250 |
+
debias: true
|
| 251 |
+
calibrater:
|
| 252 |
+
kind: imu
|
| 253 |
+
gravity: 9.81007
|
| 254 |
+
sequences:
|
| 255 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 256 |
+
config:
|
| 257 |
+
window_size: ${train.window}
|
| 258 |
+
step_size: ${train.window}
|
| 259 |
+
seq:
|
| 260 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 261 |
+
config:
|
| 262 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 263 |
+
device: ${meta.device}
|
| 264 |
+
dtype: ${meta.dtype}
|
| 265 |
+
acc_sigma: 0.01
|
| 266 |
+
gyro_sigma: 0.01
|
| 267 |
+
debias: true
|
| 268 |
+
calibrater:
|
| 269 |
+
kind: imu
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
seq_name: MH_02_easy
|
| 272 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 273 |
+
config:
|
| 274 |
+
window_size: ${train.window}
|
| 275 |
+
step_size: ${train.window}
|
| 276 |
+
seq:
|
| 277 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 278 |
+
config:
|
| 279 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 280 |
+
device: ${meta.device}
|
| 281 |
+
dtype: ${meta.dtype}
|
| 282 |
+
acc_sigma: 0.01
|
| 283 |
+
gyro_sigma: 0.01
|
| 284 |
+
debias: true
|
| 285 |
+
calibrater:
|
| 286 |
+
kind: imu
|
| 287 |
+
gravity: 9.81007
|
| 288 |
+
seq_name: MH_04_difficult
|
| 289 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 290 |
+
config:
|
| 291 |
+
window_size: ${train.window}
|
| 292 |
+
step_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.01
|
| 300 |
+
gyro_sigma: 0.01
|
| 301 |
+
debias: true
|
| 302 |
+
calibrater:
|
| 303 |
+
kind: imu
|
| 304 |
+
gravity: 9.81007
|
| 305 |
+
seq_name: V1_03_difficult
|
| 306 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 307 |
+
config:
|
| 308 |
+
window_size: ${train.window}
|
| 309 |
+
step_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
debias: true
|
| 319 |
+
calibrater:
|
| 320 |
+
kind: imu
|
| 321 |
+
gravity: 9.81007
|
| 322 |
+
seq_name: V2_02_medium
|
| 323 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
step_size: ${train.window}
|
| 327 |
+
seq:
|
| 328 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 329 |
+
config:
|
| 330 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 331 |
+
device: ${meta.device}
|
| 332 |
+
dtype: ${meta.dtype}
|
| 333 |
+
acc_sigma: 0.01
|
| 334 |
+
gyro_sigma: 0.01
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
gravity: 9.81007
|
| 339 |
+
seq_name: V1_01_easy
|
| 340 |
+
network:
|
| 341 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 342 |
+
k_list:
|
| 343 |
+
- 7
|
| 344 |
+
- 7
|
| 345 |
+
s_list:
|
| 346 |
+
- 3
|
| 347 |
+
- 3
|
| 348 |
+
p_list:
|
| 349 |
+
- 3
|
| 350 |
+
- 3
|
| 351 |
+
imu_encoder_channels:
|
| 352 |
+
- 32
|
| 353 |
+
- 64
|
| 354 |
+
fusion_dim: 64
|
| 355 |
+
gru1_hidden: 64
|
| 356 |
+
gru2_hidden: 128
|
| 357 |
+
decoder_hidden: 128
|
| 358 |
+
bidirectional: true
|
| 359 |
+
num_imus: 1
|
| 360 |
+
imu_input: raw
|
| 361 |
+
optimizer:
|
| 362 |
+
_target_: torch.optim.AdamW
|
| 363 |
+
lr: ${train.lr}
|
| 364 |
+
weight_decay: ${train.decay}
|
| 365 |
+
fused: true
|
| 366 |
+
scheduler:
|
| 367 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 368 |
+
factor: 1.0
|
| 369 |
+
total_iters: 0
|
| 370 |
+
loss:
|
| 371 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 372 |
+
base_weight: 0.0
|
| 373 |
+
anchor_weight: 100.0
|
| 374 |
+
anchor_loss: Huber
|
| 375 |
+
huber_delta: 0.005
|
| 376 |
+
cov_anchor_weight: 0.01
|
| 377 |
+
covaug: true
|
| 378 |
+
cov_floor: 1.0e-06
|
| 379 |
+
base:
|
| 380 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 381 |
+
dv:
|
| 382 |
+
- - 1
|
| 383 |
+
- 1.0
|
| 384 |
+
modality:
|
| 385 |
+
use_aux_imu: true
|
| 386 |
+
use_joints: true
|
| 387 |
+
train:
|
| 388 |
+
lr: 0.001
|
| 389 |
+
decay: 0.001
|
| 390 |
+
batch: 64
|
| 391 |
+
labeled_ratio: 0.5
|
| 392 |
+
num_workers: 0
|
| 393 |
+
data_ratio: 1.0
|
| 394 |
+
epoch: 150
|
| 395 |
+
window: 1024
|
| 396 |
+
ema: true
|
| 397 |
+
freeze_bn: false
|
| 398 |
+
gravity: 9.81007
|
| 399 |
+
checkpoint_every_epochs: 10
|
| 400 |
+
eval_plot_every_epochs: 10
|
| 401 |
+
test_every_epochs: 1
|
| 402 |
+
max_train_steps: null
|
| 403 |
+
zupt_weight: 0.0
|
| 404 |
+
zupt_gate: all
|
| 405 |
+
zupt_speed_max: 0.02
|
| 406 |
+
zupt_sched_enable: false
|
| 407 |
+
zupt_sched_start: null
|
| 408 |
+
zupt_sched_end: null
|
| 409 |
+
dv_imu_input: corrected
|
| 410 |
+
acc_noise_std: 0.0
|
| 411 |
+
gyro_noise_std: 0.0
|
| 412 |
+
resume_from: null
|
| 413 |
+
meta:
|
| 414 |
+
device: ${as_device:'cuda:0'}
|
| 415 |
+
dtype: ${as_dtype:'fp32'}
|
| 416 |
+
wandb:
|
| 417 |
+
project: SSIO
|
| 418 |
+
mode: online
|
| 419 |
+
name: null
|
euroc/airio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio_imu_only
|
| 119 |
+
- train.lr=1.0e-3
|
| 120 |
+
- train.decay=1.0e-3
|
| 121 |
+
- train.batch=64
|
| 122 |
+
- train.window=1024
|
| 123 |
+
- train.ema=true
|
| 124 |
+
- train.epoch=150
|
| 125 |
+
- train.checkpoint_every_epochs=10
|
| 126 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 127 |
+
- dataset@eval_dataset=EuRoC_Valid
|
| 128 |
+
- dataset@test_dataset=EuRoC_Test
|
| 129 |
+
job:
|
| 130 |
+
name: train_step1_ssio
|
| 131 |
+
chdir: false
|
| 132 |
+
override_dirname: dataset@eval_dataset=EuRoC_Valid,dataset@test_dataset=EuRoC_Test,dataset@train_dataset=EuRoC_Train_Randomized,loss=supervised_only,network=airio_imu_only,train.batch=64,train.checkpoint_every_epochs=10,train.decay=1.0e-3,train.ema=true,train.epoch=150,train.lr=1.0e-3,train.window=1024,train.zupt_weight=0.0
|
| 133 |
+
id: ???
|
| 134 |
+
num: ???
|
| 135 |
+
config_name: train_ssio
|
| 136 |
+
env_set: {}
|
| 137 |
+
env_copy: []
|
| 138 |
+
config:
|
| 139 |
+
override_dirname:
|
| 140 |
+
kv_sep: '='
|
| 141 |
+
item_sep: ','
|
| 142 |
+
exclude_keys: []
|
| 143 |
+
runtime:
|
| 144 |
+
version: 1.3.2
|
| 145 |
+
version_base: '1.3'
|
| 146 |
+
cwd: .
|
| 147 |
+
config_sources:
|
| 148 |
+
- path: hydra.conf
|
| 149 |
+
schema: pkg
|
| 150 |
+
provider: hydra
|
| 151 |
+
- path: ./Config
|
| 152 |
+
schema: file
|
| 153 |
+
provider: main
|
| 154 |
+
- path: ./Config
|
| 155 |
+
schema: file
|
| 156 |
+
provider: hydra.searchpath in main
|
| 157 |
+
- path: ''
|
| 158 |
+
schema: structured
|
| 159 |
+
provider: schema
|
| 160 |
+
output_dir: ./experiments/train_ssio/EuRoC_Train_Randomized/20260913_214404
|
| 161 |
+
choices:
|
| 162 |
+
loss: supervised_only
|
| 163 |
+
scheduler: constant
|
| 164 |
+
optimizer: adamw
|
| 165 |
+
network: airio_imu_only
|
| 166 |
+
dataset@test_dataset: EuRoC_Test
|
| 167 |
+
dataset@eval_dataset: EuRoC_Valid
|
| 168 |
+
dataset@train_dataset: EuRoC_Train_Randomized
|
| 169 |
+
hydra/env: default
|
| 170 |
+
hydra/callbacks: null
|
| 171 |
+
hydra/job_logging: default
|
| 172 |
+
hydra/hydra_logging: default
|
| 173 |
+
hydra/hydra_help: default
|
| 174 |
+
hydra/help: default
|
| 175 |
+
hydra/sweeper: basic
|
| 176 |
+
hydra/launcher: basic
|
| 177 |
+
hydra/output: default
|
| 178 |
+
verbose: false
|
euroc/airio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio_imu_only
|
| 4 |
+
- train.lr=1.0e-3
|
| 5 |
+
- train.decay=1.0e-3
|
| 6 |
+
- train.batch=64
|
| 7 |
+
- train.window=1024
|
| 8 |
+
- train.ema=true
|
| 9 |
+
- train.epoch=150
|
| 10 |
+
- train.checkpoint_every_epochs=10
|
| 11 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 12 |
+
- dataset@eval_dataset=EuRoC_Valid
|
| 13 |
+
- dataset@test_dataset=EuRoC_Test
|
euroc/airio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae35e246042bfd822ef70baac46cdca09a5958a5e5ba67936193d5cedd7aaa6a
|
| 3 |
+
size 1355061
|
euroc/airio_full/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,422 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
debias: true
|
| 15 |
+
calibrater:
|
| 16 |
+
kind: imu
|
| 17 |
+
gravity: 9.81007
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
debias: true
|
| 31 |
+
calibrater:
|
| 32 |
+
kind: imu
|
| 33 |
+
gravity: 9.81007
|
| 34 |
+
seq_name: V1_02_medium
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
debias: true
|
| 47 |
+
calibrater:
|
| 48 |
+
kind: imu
|
| 49 |
+
gravity: 9.81007
|
| 50 |
+
seq_name: V2_01_easy
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
debias: true
|
| 63 |
+
calibrater:
|
| 64 |
+
kind: imu
|
| 65 |
+
gravity: 9.81007
|
| 66 |
+
seq_name: V2_03_difficult
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
debias: true
|
| 79 |
+
calibrater:
|
| 80 |
+
kind: imu
|
| 81 |
+
gravity: 9.81007
|
| 82 |
+
seq_name: MH_03_medium
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gravity: 9.81007
|
| 98 |
+
seq_name: MH_05_difficult
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
debias: true
|
| 111 |
+
calibrater:
|
| 112 |
+
kind: imu
|
| 113 |
+
gravity: 9.81007
|
| 114 |
+
seq_name: MH_01_easy
|
| 115 |
+
eval_dataset:
|
| 116 |
+
_outer:
|
| 117 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 118 |
+
config:
|
| 119 |
+
window_size: ${train.window}
|
| 120 |
+
step_size: ${train.window}
|
| 121 |
+
_inner:
|
| 122 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 123 |
+
_inner_config:
|
| 124 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 125 |
+
device: ${meta.device}
|
| 126 |
+
dtype: ${meta.dtype}
|
| 127 |
+
acc_sigma: 0.01
|
| 128 |
+
gyro_sigma: 0.01
|
| 129 |
+
debias: true
|
| 130 |
+
calibrater:
|
| 131 |
+
kind: imu
|
| 132 |
+
gravity: 9.81007
|
| 133 |
+
sequences:
|
| 134 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 135 |
+
config:
|
| 136 |
+
window_size: ${train.window}
|
| 137 |
+
step_size: ${train.window}
|
| 138 |
+
seq:
|
| 139 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 140 |
+
config:
|
| 141 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 142 |
+
device: ${meta.device}
|
| 143 |
+
dtype: ${meta.dtype}
|
| 144 |
+
acc_sigma: 0.01
|
| 145 |
+
gyro_sigma: 0.01
|
| 146 |
+
debias: true
|
| 147 |
+
calibrater:
|
| 148 |
+
kind: imu
|
| 149 |
+
gravity: 9.81007
|
| 150 |
+
seq_name: V1_02_medium
|
| 151 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 152 |
+
config:
|
| 153 |
+
window_size: ${train.window}
|
| 154 |
+
step_size: ${train.window}
|
| 155 |
+
seq:
|
| 156 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 157 |
+
config:
|
| 158 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 159 |
+
device: ${meta.device}
|
| 160 |
+
dtype: ${meta.dtype}
|
| 161 |
+
acc_sigma: 0.01
|
| 162 |
+
gyro_sigma: 0.01
|
| 163 |
+
debias: true
|
| 164 |
+
calibrater:
|
| 165 |
+
kind: imu
|
| 166 |
+
gravity: 9.81007
|
| 167 |
+
seq_name: V2_01_easy
|
| 168 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 169 |
+
config:
|
| 170 |
+
window_size: ${train.window}
|
| 171 |
+
step_size: ${train.window}
|
| 172 |
+
seq:
|
| 173 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 174 |
+
config:
|
| 175 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 176 |
+
device: ${meta.device}
|
| 177 |
+
dtype: ${meta.dtype}
|
| 178 |
+
acc_sigma: 0.01
|
| 179 |
+
gyro_sigma: 0.01
|
| 180 |
+
debias: true
|
| 181 |
+
calibrater:
|
| 182 |
+
kind: imu
|
| 183 |
+
gravity: 9.81007
|
| 184 |
+
seq_name: V2_03_difficult
|
| 185 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
step_size: ${train.window}
|
| 189 |
+
seq:
|
| 190 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 191 |
+
config:
|
| 192 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 193 |
+
device: ${meta.device}
|
| 194 |
+
dtype: ${meta.dtype}
|
| 195 |
+
acc_sigma: 0.01
|
| 196 |
+
gyro_sigma: 0.01
|
| 197 |
+
debias: true
|
| 198 |
+
calibrater:
|
| 199 |
+
kind: imu
|
| 200 |
+
gravity: 9.81007
|
| 201 |
+
seq_name: MH_03_medium
|
| 202 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 203 |
+
config:
|
| 204 |
+
window_size: ${train.window}
|
| 205 |
+
step_size: ${train.window}
|
| 206 |
+
seq:
|
| 207 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 208 |
+
config:
|
| 209 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 210 |
+
device: ${meta.device}
|
| 211 |
+
dtype: ${meta.dtype}
|
| 212 |
+
acc_sigma: 0.01
|
| 213 |
+
gyro_sigma: 0.01
|
| 214 |
+
debias: true
|
| 215 |
+
calibrater:
|
| 216 |
+
kind: imu
|
| 217 |
+
gravity: 9.81007
|
| 218 |
+
seq_name: MH_05_difficult
|
| 219 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 220 |
+
config:
|
| 221 |
+
window_size: ${train.window}
|
| 222 |
+
step_size: ${train.window}
|
| 223 |
+
seq:
|
| 224 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 225 |
+
config:
|
| 226 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 227 |
+
device: ${meta.device}
|
| 228 |
+
dtype: ${meta.dtype}
|
| 229 |
+
acc_sigma: 0.01
|
| 230 |
+
gyro_sigma: 0.01
|
| 231 |
+
debias: true
|
| 232 |
+
calibrater:
|
| 233 |
+
kind: imu
|
| 234 |
+
gravity: 9.81007
|
| 235 |
+
seq_name: MH_01_easy
|
| 236 |
+
test_dataset:
|
| 237 |
+
_outer:
|
| 238 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 239 |
+
config:
|
| 240 |
+
window_size: ${train.window}
|
| 241 |
+
step_size: ${train.window}
|
| 242 |
+
_inner:
|
| 243 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 244 |
+
_inner_config:
|
| 245 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 246 |
+
device: ${meta.device}
|
| 247 |
+
dtype: ${meta.dtype}
|
| 248 |
+
acc_sigma: 0.01
|
| 249 |
+
gyro_sigma: 0.01
|
| 250 |
+
debias: true
|
| 251 |
+
calibrater:
|
| 252 |
+
kind: imu
|
| 253 |
+
gravity: 9.81007
|
| 254 |
+
sequences:
|
| 255 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 256 |
+
config:
|
| 257 |
+
window_size: ${train.window}
|
| 258 |
+
step_size: ${train.window}
|
| 259 |
+
seq:
|
| 260 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 261 |
+
config:
|
| 262 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 263 |
+
device: ${meta.device}
|
| 264 |
+
dtype: ${meta.dtype}
|
| 265 |
+
acc_sigma: 0.01
|
| 266 |
+
gyro_sigma: 0.01
|
| 267 |
+
debias: true
|
| 268 |
+
calibrater:
|
| 269 |
+
kind: imu
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
seq_name: MH_02_easy
|
| 272 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 273 |
+
config:
|
| 274 |
+
window_size: ${train.window}
|
| 275 |
+
step_size: ${train.window}
|
| 276 |
+
seq:
|
| 277 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 278 |
+
config:
|
| 279 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 280 |
+
device: ${meta.device}
|
| 281 |
+
dtype: ${meta.dtype}
|
| 282 |
+
acc_sigma: 0.01
|
| 283 |
+
gyro_sigma: 0.01
|
| 284 |
+
debias: true
|
| 285 |
+
calibrater:
|
| 286 |
+
kind: imu
|
| 287 |
+
gravity: 9.81007
|
| 288 |
+
seq_name: MH_04_difficult
|
| 289 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 290 |
+
config:
|
| 291 |
+
window_size: ${train.window}
|
| 292 |
+
step_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.01
|
| 300 |
+
gyro_sigma: 0.01
|
| 301 |
+
debias: true
|
| 302 |
+
calibrater:
|
| 303 |
+
kind: imu
|
| 304 |
+
gravity: 9.81007
|
| 305 |
+
seq_name: V1_03_difficult
|
| 306 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 307 |
+
config:
|
| 308 |
+
window_size: ${train.window}
|
| 309 |
+
step_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
debias: true
|
| 319 |
+
calibrater:
|
| 320 |
+
kind: imu
|
| 321 |
+
gravity: 9.81007
|
| 322 |
+
seq_name: V2_02_medium
|
| 323 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
step_size: ${train.window}
|
| 327 |
+
seq:
|
| 328 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 329 |
+
config:
|
| 330 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 331 |
+
device: ${meta.device}
|
| 332 |
+
dtype: ${meta.dtype}
|
| 333 |
+
acc_sigma: 0.01
|
| 334 |
+
gyro_sigma: 0.01
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
gravity: 9.81007
|
| 339 |
+
seq_name: V1_01_easy
|
| 340 |
+
network:
|
| 341 |
+
_target_: Model.airio.AirIONetwork
|
| 342 |
+
k_list:
|
| 343 |
+
- 7
|
| 344 |
+
- 7
|
| 345 |
+
s_list:
|
| 346 |
+
- 3
|
| 347 |
+
- 3
|
| 348 |
+
p_list:
|
| 349 |
+
- 3
|
| 350 |
+
- 3
|
| 351 |
+
imu_encoder_channels:
|
| 352 |
+
- 32
|
| 353 |
+
- 64
|
| 354 |
+
ori_encoder_channels:
|
| 355 |
+
- 32
|
| 356 |
+
- 64
|
| 357 |
+
fusion_dim: 64
|
| 358 |
+
gru1_hidden: 64
|
| 359 |
+
gru2_hidden: 128
|
| 360 |
+
decoder_hidden: 128
|
| 361 |
+
bidirectional: true
|
| 362 |
+
num_imus: 1
|
| 363 |
+
imu_input: raw
|
| 364 |
+
optimizer:
|
| 365 |
+
_target_: torch.optim.AdamW
|
| 366 |
+
lr: ${train.lr}
|
| 367 |
+
weight_decay: ${train.decay}
|
| 368 |
+
fused: true
|
| 369 |
+
scheduler:
|
| 370 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 371 |
+
factor: 1.0
|
| 372 |
+
total_iters: 0
|
| 373 |
+
loss:
|
| 374 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 375 |
+
base_weight: 0.0
|
| 376 |
+
anchor_weight: 100.0
|
| 377 |
+
anchor_loss: Huber
|
| 378 |
+
huber_delta: 0.005
|
| 379 |
+
cov_anchor_weight: 0.01
|
| 380 |
+
covaug: true
|
| 381 |
+
cov_floor: 1.0e-06
|
| 382 |
+
base:
|
| 383 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 384 |
+
dv:
|
| 385 |
+
- - 1
|
| 386 |
+
- 1.0
|
| 387 |
+
modality:
|
| 388 |
+
use_aux_imu: true
|
| 389 |
+
use_joints: true
|
| 390 |
+
train:
|
| 391 |
+
lr: 0.001
|
| 392 |
+
decay: 0.001
|
| 393 |
+
batch: 64
|
| 394 |
+
labeled_ratio: 0.5
|
| 395 |
+
num_workers: 0
|
| 396 |
+
data_ratio: 1.0
|
| 397 |
+
epoch: 150
|
| 398 |
+
window: 1024
|
| 399 |
+
ema: true
|
| 400 |
+
freeze_bn: false
|
| 401 |
+
gravity: 9.81007
|
| 402 |
+
checkpoint_every_epochs: 10
|
| 403 |
+
eval_plot_every_epochs: 10
|
| 404 |
+
test_every_epochs: 1
|
| 405 |
+
max_train_steps: null
|
| 406 |
+
zupt_weight: 0.0
|
| 407 |
+
zupt_gate: all
|
| 408 |
+
zupt_speed_max: 0.02
|
| 409 |
+
zupt_sched_enable: false
|
| 410 |
+
zupt_sched_start: null
|
| 411 |
+
zupt_sched_end: null
|
| 412 |
+
dv_imu_input: corrected
|
| 413 |
+
acc_noise_std: 0.0
|
| 414 |
+
gyro_noise_std: 0.0
|
| 415 |
+
resume_from: null
|
| 416 |
+
meta:
|
| 417 |
+
device: ${as_device:'cuda:0'}
|
| 418 |
+
dtype: ${as_dtype:'fp32'}
|
| 419 |
+
wandb:
|
| 420 |
+
project: SSIO
|
| 421 |
+
mode: online
|
| 422 |
+
name: null
|
euroc/airio_full/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio
|
| 119 |
+
- train.lr=1.0e-3
|
| 120 |
+
- train.decay=1.0e-3
|
| 121 |
+
- train.batch=64
|
| 122 |
+
- train.window=1024
|
| 123 |
+
- train.ema=true
|
| 124 |
+
- train.epoch=150
|
| 125 |
+
- train.checkpoint_every_epochs=10
|
| 126 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 127 |
+
- dataset@eval_dataset=EuRoC_Valid
|
| 128 |
+
- dataset@test_dataset=EuRoC_Test
|
| 129 |
+
job:
|
| 130 |
+
name: train_step1_ssio
|
| 131 |
+
chdir: false
|
| 132 |
+
override_dirname: dataset@eval_dataset=EuRoC_Valid,dataset@test_dataset=EuRoC_Test,dataset@train_dataset=EuRoC_Train_Randomized,loss=supervised_only,network=airio,train.batch=64,train.checkpoint_every_epochs=10,train.decay=1.0e-3,train.ema=true,train.epoch=150,train.lr=1.0e-3,train.window=1024,train.zupt_weight=0.0
|
| 133 |
+
id: ???
|
| 134 |
+
num: ???
|
| 135 |
+
config_name: train_ssio
|
| 136 |
+
env_set: {}
|
| 137 |
+
env_copy: []
|
| 138 |
+
config:
|
| 139 |
+
override_dirname:
|
| 140 |
+
kv_sep: '='
|
| 141 |
+
item_sep: ','
|
| 142 |
+
exclude_keys: []
|
| 143 |
+
runtime:
|
| 144 |
+
version: 1.3.2
|
| 145 |
+
version_base: '1.3'
|
| 146 |
+
cwd: .
|
| 147 |
+
config_sources:
|
| 148 |
+
- path: hydra.conf
|
| 149 |
+
schema: pkg
|
| 150 |
+
provider: hydra
|
| 151 |
+
- path: ./Config
|
| 152 |
+
schema: file
|
| 153 |
+
provider: main
|
| 154 |
+
- path: ./Config
|
| 155 |
+
schema: file
|
| 156 |
+
provider: hydra.searchpath in main
|
| 157 |
+
- path: ''
|
| 158 |
+
schema: structured
|
| 159 |
+
provider: schema
|
| 160 |
+
output_dir: ./experiments/train_ssio/EuRoC_Train_Randomized/20260913_215104
|
| 161 |
+
choices:
|
| 162 |
+
loss: supervised_only
|
| 163 |
+
scheduler: constant
|
| 164 |
+
optimizer: adamw
|
| 165 |
+
network: airio
|
| 166 |
+
dataset@test_dataset: EuRoC_Test
|
| 167 |
+
dataset@eval_dataset: EuRoC_Valid
|
| 168 |
+
dataset@train_dataset: EuRoC_Train_Randomized
|
| 169 |
+
hydra/env: default
|
| 170 |
+
hydra/callbacks: null
|
| 171 |
+
hydra/job_logging: default
|
| 172 |
+
hydra/hydra_logging: default
|
| 173 |
+
hydra/hydra_help: default
|
| 174 |
+
hydra/help: default
|
| 175 |
+
hydra/sweeper: basic
|
| 176 |
+
hydra/launcher: basic
|
| 177 |
+
hydra/output: default
|
| 178 |
+
verbose: false
|
euroc/airio_full/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio
|
| 4 |
+
- train.lr=1.0e-3
|
| 5 |
+
- train.decay=1.0e-3
|
| 6 |
+
- train.batch=64
|
| 7 |
+
- train.window=1024
|
| 8 |
+
- train.ema=true
|
| 9 |
+
- train.epoch=150
|
| 10 |
+
- train.checkpoint_every_epochs=10
|
| 11 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 12 |
+
- dataset@eval_dataset=EuRoC_Valid
|
| 13 |
+
- dataset@test_dataset=EuRoC_Test
|
euroc/airio_full/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2be26b4b25e39cea29f1baaa9e762e73e931aa485aeba7eab4a107081f6cd3c3
|
| 3 |
+
size 1438197
|
euroc/ssio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,416 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
debias: true
|
| 15 |
+
calibrater:
|
| 16 |
+
kind: imu
|
| 17 |
+
gravity: 9.81007
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
debias: true
|
| 31 |
+
calibrater:
|
| 32 |
+
kind: imu
|
| 33 |
+
gravity: 9.81007
|
| 34 |
+
seq_name: V1_02_medium
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
debias: true
|
| 47 |
+
calibrater:
|
| 48 |
+
kind: imu
|
| 49 |
+
gravity: 9.81007
|
| 50 |
+
seq_name: V2_01_easy
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
debias: true
|
| 63 |
+
calibrater:
|
| 64 |
+
kind: imu
|
| 65 |
+
gravity: 9.81007
|
| 66 |
+
seq_name: V2_03_difficult
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
debias: true
|
| 79 |
+
calibrater:
|
| 80 |
+
kind: imu
|
| 81 |
+
gravity: 9.81007
|
| 82 |
+
seq_name: MH_03_medium
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gravity: 9.81007
|
| 98 |
+
seq_name: MH_05_difficult
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
debias: true
|
| 111 |
+
calibrater:
|
| 112 |
+
kind: imu
|
| 113 |
+
gravity: 9.81007
|
| 114 |
+
seq_name: MH_01_easy
|
| 115 |
+
val_dataset:
|
| 116 |
+
_outer:
|
| 117 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 118 |
+
config:
|
| 119 |
+
window_size: ${train.window}
|
| 120 |
+
step_size: ${train.window}
|
| 121 |
+
_inner:
|
| 122 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 123 |
+
_inner_config:
|
| 124 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 125 |
+
device: ${meta.device}
|
| 126 |
+
dtype: ${meta.dtype}
|
| 127 |
+
acc_sigma: 0.01
|
| 128 |
+
gyro_sigma: 0.01
|
| 129 |
+
debias: true
|
| 130 |
+
calibrater:
|
| 131 |
+
kind: imu
|
| 132 |
+
gravity: 9.81007
|
| 133 |
+
sequences:
|
| 134 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 135 |
+
config:
|
| 136 |
+
window_size: ${train.window}
|
| 137 |
+
step_size: ${train.window}
|
| 138 |
+
seq:
|
| 139 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 140 |
+
config:
|
| 141 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 142 |
+
device: ${meta.device}
|
| 143 |
+
dtype: ${meta.dtype}
|
| 144 |
+
acc_sigma: 0.01
|
| 145 |
+
gyro_sigma: 0.01
|
| 146 |
+
debias: true
|
| 147 |
+
calibrater:
|
| 148 |
+
kind: imu
|
| 149 |
+
gravity: 9.81007
|
| 150 |
+
seq_name: V1_02_medium
|
| 151 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 152 |
+
config:
|
| 153 |
+
window_size: ${train.window}
|
| 154 |
+
step_size: ${train.window}
|
| 155 |
+
seq:
|
| 156 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 157 |
+
config:
|
| 158 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 159 |
+
device: ${meta.device}
|
| 160 |
+
dtype: ${meta.dtype}
|
| 161 |
+
acc_sigma: 0.01
|
| 162 |
+
gyro_sigma: 0.01
|
| 163 |
+
debias: true
|
| 164 |
+
calibrater:
|
| 165 |
+
kind: imu
|
| 166 |
+
gravity: 9.81007
|
| 167 |
+
seq_name: V2_01_easy
|
| 168 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 169 |
+
config:
|
| 170 |
+
window_size: ${train.window}
|
| 171 |
+
step_size: ${train.window}
|
| 172 |
+
seq:
|
| 173 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 174 |
+
config:
|
| 175 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 176 |
+
device: ${meta.device}
|
| 177 |
+
dtype: ${meta.dtype}
|
| 178 |
+
acc_sigma: 0.01
|
| 179 |
+
gyro_sigma: 0.01
|
| 180 |
+
debias: true
|
| 181 |
+
calibrater:
|
| 182 |
+
kind: imu
|
| 183 |
+
gravity: 9.81007
|
| 184 |
+
seq_name: V2_03_difficult
|
| 185 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
step_size: ${train.window}
|
| 189 |
+
seq:
|
| 190 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 191 |
+
config:
|
| 192 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 193 |
+
device: ${meta.device}
|
| 194 |
+
dtype: ${meta.dtype}
|
| 195 |
+
acc_sigma: 0.01
|
| 196 |
+
gyro_sigma: 0.01
|
| 197 |
+
debias: true
|
| 198 |
+
calibrater:
|
| 199 |
+
kind: imu
|
| 200 |
+
gravity: 9.81007
|
| 201 |
+
seq_name: MH_03_medium
|
| 202 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 203 |
+
config:
|
| 204 |
+
window_size: ${train.window}
|
| 205 |
+
step_size: ${train.window}
|
| 206 |
+
seq:
|
| 207 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 208 |
+
config:
|
| 209 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 210 |
+
device: ${meta.device}
|
| 211 |
+
dtype: ${meta.dtype}
|
| 212 |
+
acc_sigma: 0.01
|
| 213 |
+
gyro_sigma: 0.01
|
| 214 |
+
debias: true
|
| 215 |
+
calibrater:
|
| 216 |
+
kind: imu
|
| 217 |
+
gravity: 9.81007
|
| 218 |
+
seq_name: MH_05_difficult
|
| 219 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 220 |
+
config:
|
| 221 |
+
window_size: ${train.window}
|
| 222 |
+
step_size: ${train.window}
|
| 223 |
+
seq:
|
| 224 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 225 |
+
config:
|
| 226 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 227 |
+
device: ${meta.device}
|
| 228 |
+
dtype: ${meta.dtype}
|
| 229 |
+
acc_sigma: 0.01
|
| 230 |
+
gyro_sigma: 0.01
|
| 231 |
+
debias: true
|
| 232 |
+
calibrater:
|
| 233 |
+
kind: imu
|
| 234 |
+
gravity: 9.81007
|
| 235 |
+
seq_name: MH_01_easy
|
| 236 |
+
test_dataset:
|
| 237 |
+
_outer:
|
| 238 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 239 |
+
config:
|
| 240 |
+
window_size: ${train.window}
|
| 241 |
+
step_size: ${train.window}
|
| 242 |
+
_inner:
|
| 243 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 244 |
+
_inner_config:
|
| 245 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 246 |
+
device: ${meta.device}
|
| 247 |
+
dtype: ${meta.dtype}
|
| 248 |
+
acc_sigma: 0.01
|
| 249 |
+
gyro_sigma: 0.01
|
| 250 |
+
debias: true
|
| 251 |
+
calibrater:
|
| 252 |
+
kind: imu
|
| 253 |
+
gravity: 9.81007
|
| 254 |
+
sequences:
|
| 255 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 256 |
+
config:
|
| 257 |
+
window_size: ${train.window}
|
| 258 |
+
step_size: ${train.window}
|
| 259 |
+
seq:
|
| 260 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 261 |
+
config:
|
| 262 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 263 |
+
device: ${meta.device}
|
| 264 |
+
dtype: ${meta.dtype}
|
| 265 |
+
acc_sigma: 0.01
|
| 266 |
+
gyro_sigma: 0.01
|
| 267 |
+
debias: true
|
| 268 |
+
calibrater:
|
| 269 |
+
kind: imu
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
seq_name: MH_02_easy
|
| 272 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 273 |
+
config:
|
| 274 |
+
window_size: ${train.window}
|
| 275 |
+
step_size: ${train.window}
|
| 276 |
+
seq:
|
| 277 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 278 |
+
config:
|
| 279 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 280 |
+
device: ${meta.device}
|
| 281 |
+
dtype: ${meta.dtype}
|
| 282 |
+
acc_sigma: 0.01
|
| 283 |
+
gyro_sigma: 0.01
|
| 284 |
+
debias: true
|
| 285 |
+
calibrater:
|
| 286 |
+
kind: imu
|
| 287 |
+
gravity: 9.81007
|
| 288 |
+
seq_name: MH_04_difficult
|
| 289 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 290 |
+
config:
|
| 291 |
+
window_size: ${train.window}
|
| 292 |
+
step_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.01
|
| 300 |
+
gyro_sigma: 0.01
|
| 301 |
+
debias: true
|
| 302 |
+
calibrater:
|
| 303 |
+
kind: imu
|
| 304 |
+
gravity: 9.81007
|
| 305 |
+
seq_name: V1_03_difficult
|
| 306 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 307 |
+
config:
|
| 308 |
+
window_size: ${train.window}
|
| 309 |
+
step_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
debias: true
|
| 319 |
+
calibrater:
|
| 320 |
+
kind: imu
|
| 321 |
+
gravity: 9.81007
|
| 322 |
+
seq_name: V2_02_medium
|
| 323 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
step_size: ${train.window}
|
| 327 |
+
seq:
|
| 328 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 329 |
+
config:
|
| 330 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 331 |
+
device: ${meta.device}
|
| 332 |
+
dtype: ${meta.dtype}
|
| 333 |
+
acc_sigma: 0.01
|
| 334 |
+
gyro_sigma: 0.01
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
gravity: 9.81007
|
| 339 |
+
seq_name: V1_01_easy
|
| 340 |
+
network:
|
| 341 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 342 |
+
k_list:
|
| 343 |
+
- 7
|
| 344 |
+
- 7
|
| 345 |
+
s_list:
|
| 346 |
+
- 3
|
| 347 |
+
- 3
|
| 348 |
+
p_list:
|
| 349 |
+
- 3
|
| 350 |
+
- 3
|
| 351 |
+
imu_encoder_channels:
|
| 352 |
+
- 32
|
| 353 |
+
- 64
|
| 354 |
+
fusion_dim: 64
|
| 355 |
+
gru1_hidden: 64
|
| 356 |
+
gru2_hidden: 128
|
| 357 |
+
decoder_hidden: 128
|
| 358 |
+
bidirectional: true
|
| 359 |
+
num_imus: 1
|
| 360 |
+
imu_input: raw
|
| 361 |
+
optimizer:
|
| 362 |
+
_target_: torch.optim.AdamW
|
| 363 |
+
lr: ${train.lr}
|
| 364 |
+
weight_decay: ${train.decay}
|
| 365 |
+
fused: true
|
| 366 |
+
scheduler:
|
| 367 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 368 |
+
factor: 1.0
|
| 369 |
+
total_iters: 0
|
| 370 |
+
loss:
|
| 371 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 372 |
+
dv:
|
| 373 |
+
- - 1
|
| 374 |
+
- 1.0
|
| 375 |
+
- - 3
|
| 376 |
+
- 1.0
|
| 377 |
+
- - 9
|
| 378 |
+
- 1.0
|
| 379 |
+
- - 27
|
| 380 |
+
- 1.0
|
| 381 |
+
modality:
|
| 382 |
+
use_aux_imu: true
|
| 383 |
+
use_joints: true
|
| 384 |
+
train:
|
| 385 |
+
lr: 0.001
|
| 386 |
+
decay: 0.001
|
| 387 |
+
batch: 64
|
| 388 |
+
labeled_ratio: 0.5
|
| 389 |
+
num_workers: 0
|
| 390 |
+
data_ratio: 1.0
|
| 391 |
+
epoch: 150
|
| 392 |
+
window: 1024
|
| 393 |
+
ema: true
|
| 394 |
+
freeze_bn: false
|
| 395 |
+
gravity: 9.81007
|
| 396 |
+
checkpoint_every_epochs: 10
|
| 397 |
+
plot_every_epochs: 10
|
| 398 |
+
test_every_epochs: 1
|
| 399 |
+
max_train_steps: null
|
| 400 |
+
zupt_weight: 0.1
|
| 401 |
+
zupt_gate: imu
|
| 402 |
+
zupt_speed_max: 0.02
|
| 403 |
+
zupt_sched_enable: false
|
| 404 |
+
zupt_sched_start: null
|
| 405 |
+
zupt_sched_end: null
|
| 406 |
+
dv_imu_input: corrected
|
| 407 |
+
acc_noise_std: 0.0
|
| 408 |
+
gyro_noise_std: 0.0
|
| 409 |
+
resume_from: null
|
| 410 |
+
meta:
|
| 411 |
+
device: ${as_device:'cuda:0'}
|
| 412 |
+
dtype: ${as_dtype:'fp32'}
|
| 413 |
+
wandb:
|
| 414 |
+
project: SSIO
|
| 415 |
+
mode: online
|
| 416 |
+
name: null
|
euroc/ssio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- network=airio_imu_only
|
| 117 |
+
- train.zupt_gate=imu
|
| 118 |
+
- loss=ssio_dv_1_3_9_27
|
| 119 |
+
- train.zupt_weight=0.1
|
| 120 |
+
- train.lr=1.0e-3
|
| 121 |
+
- train.decay=1.0e-3
|
| 122 |
+
- train.batch=64
|
| 123 |
+
- train.window=1024
|
| 124 |
+
- train.ema=true
|
| 125 |
+
- train.epoch=150
|
| 126 |
+
- train.checkpoint_every_epochs=10
|
| 127 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 128 |
+
- dataset@val_dataset=EuRoC_Valid
|
| 129 |
+
- dataset@test_dataset=EuRoC_Test
|
| 130 |
+
job:
|
| 131 |
+
name: train_step1_ssio
|
| 132 |
+
chdir: false
|
| 133 |
+
override_dirname: dataset@test_dataset=EuRoC_Test,dataset@train_dataset=EuRoC_Train_Randomized,dataset@val_dataset=EuRoC_Valid,loss=ssio_dv_1_3_9_27,network=airio_imu_only,train.batch=64,train.checkpoint_every_epochs=10,train.decay=1.0e-3,train.ema=true,train.epoch=150,train.lr=1.0e-3,train.window=1024,train.zupt_gate=imu,train.zupt_weight=0.1
|
| 134 |
+
id: ???
|
| 135 |
+
num: ???
|
| 136 |
+
config_name: train_ssio
|
| 137 |
+
env_set: {}
|
| 138 |
+
env_copy: []
|
| 139 |
+
config:
|
| 140 |
+
override_dirname:
|
| 141 |
+
kv_sep: '='
|
| 142 |
+
item_sep: ','
|
| 143 |
+
exclude_keys: []
|
| 144 |
+
runtime:
|
| 145 |
+
version: 1.3.2
|
| 146 |
+
version_base: '1.3'
|
| 147 |
+
cwd: .
|
| 148 |
+
config_sources:
|
| 149 |
+
- path: hydra.conf
|
| 150 |
+
schema: pkg
|
| 151 |
+
provider: hydra
|
| 152 |
+
- path: ./Config
|
| 153 |
+
schema: file
|
| 154 |
+
provider: main
|
| 155 |
+
- path: ./Config
|
| 156 |
+
schema: file
|
| 157 |
+
provider: hydra.searchpath in main
|
| 158 |
+
- path: ''
|
| 159 |
+
schema: structured
|
| 160 |
+
provider: schema
|
| 161 |
+
output_dir: ./experiments/train_ssio/EuRoC_Train_Randomized/20260913_235931
|
| 162 |
+
choices:
|
| 163 |
+
loss: ssio_dv_1_3_9_27
|
| 164 |
+
scheduler: constant
|
| 165 |
+
optimizer: adamw
|
| 166 |
+
network: airio_imu_only
|
| 167 |
+
dataset@test_dataset: EuRoC_Test
|
| 168 |
+
dataset@val_dataset: EuRoC_Valid
|
| 169 |
+
dataset@train_dataset: EuRoC_Train_Randomized
|
| 170 |
+
hydra/env: default
|
| 171 |
+
hydra/callbacks: null
|
| 172 |
+
hydra/job_logging: default
|
| 173 |
+
hydra/hydra_logging: default
|
| 174 |
+
hydra/hydra_help: default
|
| 175 |
+
hydra/help: default
|
| 176 |
+
hydra/sweeper: basic
|
| 177 |
+
hydra/launcher: basic
|
| 178 |
+
hydra/output: default
|
| 179 |
+
verbose: false
|
euroc/ssio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- network=airio_imu_only
|
| 2 |
+
- train.zupt_gate=imu
|
| 3 |
+
- loss=ssio_dv_1_3_9_27
|
| 4 |
+
- train.zupt_weight=0.1
|
| 5 |
+
- train.lr=1.0e-3
|
| 6 |
+
- train.decay=1.0e-3
|
| 7 |
+
- train.batch=64
|
| 8 |
+
- train.window=1024
|
| 9 |
+
- train.ema=true
|
| 10 |
+
- train.epoch=150
|
| 11 |
+
- train.checkpoint_every_epochs=10
|
| 12 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 13 |
+
- dataset@val_dataset=EuRoC_Valid
|
| 14 |
+
- dataset@test_dataset=EuRoC_Test
|
euroc/ssio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8dff0eb0aa689865211f6d95754b12352926e048c65775f05eaccfede90d5ac8
|
| 3 |
+
size 1355061
|
euroc/ssio_pgd/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,416 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 8 |
+
_inner_config:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.01
|
| 13 |
+
gyro_sigma: 0.01
|
| 14 |
+
debias: true
|
| 15 |
+
calibrater:
|
| 16 |
+
kind: imu
|
| 17 |
+
gravity: 9.81007
|
| 18 |
+
sequences:
|
| 19 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 20 |
+
config:
|
| 21 |
+
window_size: ${train.window}
|
| 22 |
+
seq:
|
| 23 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 24 |
+
config:
|
| 25 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 26 |
+
device: ${meta.device}
|
| 27 |
+
dtype: ${meta.dtype}
|
| 28 |
+
acc_sigma: 0.01
|
| 29 |
+
gyro_sigma: 0.01
|
| 30 |
+
debias: true
|
| 31 |
+
calibrater:
|
| 32 |
+
kind: imu
|
| 33 |
+
gravity: 9.81007
|
| 34 |
+
seq_name: V1_02_medium
|
| 35 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 36 |
+
config:
|
| 37 |
+
window_size: ${train.window}
|
| 38 |
+
seq:
|
| 39 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 40 |
+
config:
|
| 41 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 42 |
+
device: ${meta.device}
|
| 43 |
+
dtype: ${meta.dtype}
|
| 44 |
+
acc_sigma: 0.01
|
| 45 |
+
gyro_sigma: 0.01
|
| 46 |
+
debias: true
|
| 47 |
+
calibrater:
|
| 48 |
+
kind: imu
|
| 49 |
+
gravity: 9.81007
|
| 50 |
+
seq_name: V2_01_easy
|
| 51 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 52 |
+
config:
|
| 53 |
+
window_size: ${train.window}
|
| 54 |
+
seq:
|
| 55 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 56 |
+
config:
|
| 57 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 58 |
+
device: ${meta.device}
|
| 59 |
+
dtype: ${meta.dtype}
|
| 60 |
+
acc_sigma: 0.01
|
| 61 |
+
gyro_sigma: 0.01
|
| 62 |
+
debias: true
|
| 63 |
+
calibrater:
|
| 64 |
+
kind: imu
|
| 65 |
+
gravity: 9.81007
|
| 66 |
+
seq_name: V2_03_difficult
|
| 67 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 68 |
+
config:
|
| 69 |
+
window_size: ${train.window}
|
| 70 |
+
seq:
|
| 71 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 72 |
+
config:
|
| 73 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 74 |
+
device: ${meta.device}
|
| 75 |
+
dtype: ${meta.dtype}
|
| 76 |
+
acc_sigma: 0.01
|
| 77 |
+
gyro_sigma: 0.01
|
| 78 |
+
debias: true
|
| 79 |
+
calibrater:
|
| 80 |
+
kind: imu
|
| 81 |
+
gravity: 9.81007
|
| 82 |
+
seq_name: MH_03_medium
|
| 83 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 84 |
+
config:
|
| 85 |
+
window_size: ${train.window}
|
| 86 |
+
seq:
|
| 87 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 88 |
+
config:
|
| 89 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 90 |
+
device: ${meta.device}
|
| 91 |
+
dtype: ${meta.dtype}
|
| 92 |
+
acc_sigma: 0.01
|
| 93 |
+
gyro_sigma: 0.01
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gravity: 9.81007
|
| 98 |
+
seq_name: MH_05_difficult
|
| 99 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 100 |
+
config:
|
| 101 |
+
window_size: ${train.window}
|
| 102 |
+
seq:
|
| 103 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 104 |
+
config:
|
| 105 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 106 |
+
device: ${meta.device}
|
| 107 |
+
dtype: ${meta.dtype}
|
| 108 |
+
acc_sigma: 0.01
|
| 109 |
+
gyro_sigma: 0.01
|
| 110 |
+
debias: true
|
| 111 |
+
calibrater:
|
| 112 |
+
kind: imu
|
| 113 |
+
gravity: 9.81007
|
| 114 |
+
seq_name: MH_01_easy
|
| 115 |
+
val_dataset:
|
| 116 |
+
_outer:
|
| 117 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 118 |
+
config:
|
| 119 |
+
window_size: ${train.window}
|
| 120 |
+
step_size: ${train.window}
|
| 121 |
+
_inner:
|
| 122 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 123 |
+
_inner_config:
|
| 124 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 125 |
+
device: ${meta.device}
|
| 126 |
+
dtype: ${meta.dtype}
|
| 127 |
+
acc_sigma: 0.01
|
| 128 |
+
gyro_sigma: 0.01
|
| 129 |
+
debias: true
|
| 130 |
+
calibrater:
|
| 131 |
+
kind: imu
|
| 132 |
+
gravity: 9.81007
|
| 133 |
+
sequences:
|
| 134 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 135 |
+
config:
|
| 136 |
+
window_size: ${train.window}
|
| 137 |
+
step_size: ${train.window}
|
| 138 |
+
seq:
|
| 139 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 140 |
+
config:
|
| 141 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 142 |
+
device: ${meta.device}
|
| 143 |
+
dtype: ${meta.dtype}
|
| 144 |
+
acc_sigma: 0.01
|
| 145 |
+
gyro_sigma: 0.01
|
| 146 |
+
debias: true
|
| 147 |
+
calibrater:
|
| 148 |
+
kind: imu
|
| 149 |
+
gravity: 9.81007
|
| 150 |
+
seq_name: V1_02_medium
|
| 151 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 152 |
+
config:
|
| 153 |
+
window_size: ${train.window}
|
| 154 |
+
step_size: ${train.window}
|
| 155 |
+
seq:
|
| 156 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 157 |
+
config:
|
| 158 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 159 |
+
device: ${meta.device}
|
| 160 |
+
dtype: ${meta.dtype}
|
| 161 |
+
acc_sigma: 0.01
|
| 162 |
+
gyro_sigma: 0.01
|
| 163 |
+
debias: true
|
| 164 |
+
calibrater:
|
| 165 |
+
kind: imu
|
| 166 |
+
gravity: 9.81007
|
| 167 |
+
seq_name: V2_01_easy
|
| 168 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 169 |
+
config:
|
| 170 |
+
window_size: ${train.window}
|
| 171 |
+
step_size: ${train.window}
|
| 172 |
+
seq:
|
| 173 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 174 |
+
config:
|
| 175 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 176 |
+
device: ${meta.device}
|
| 177 |
+
dtype: ${meta.dtype}
|
| 178 |
+
acc_sigma: 0.01
|
| 179 |
+
gyro_sigma: 0.01
|
| 180 |
+
debias: true
|
| 181 |
+
calibrater:
|
| 182 |
+
kind: imu
|
| 183 |
+
gravity: 9.81007
|
| 184 |
+
seq_name: V2_03_difficult
|
| 185 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
step_size: ${train.window}
|
| 189 |
+
seq:
|
| 190 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 191 |
+
config:
|
| 192 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 193 |
+
device: ${meta.device}
|
| 194 |
+
dtype: ${meta.dtype}
|
| 195 |
+
acc_sigma: 0.01
|
| 196 |
+
gyro_sigma: 0.01
|
| 197 |
+
debias: true
|
| 198 |
+
calibrater:
|
| 199 |
+
kind: imu
|
| 200 |
+
gravity: 9.81007
|
| 201 |
+
seq_name: MH_03_medium
|
| 202 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 203 |
+
config:
|
| 204 |
+
window_size: ${train.window}
|
| 205 |
+
step_size: ${train.window}
|
| 206 |
+
seq:
|
| 207 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 208 |
+
config:
|
| 209 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 210 |
+
device: ${meta.device}
|
| 211 |
+
dtype: ${meta.dtype}
|
| 212 |
+
acc_sigma: 0.01
|
| 213 |
+
gyro_sigma: 0.01
|
| 214 |
+
debias: true
|
| 215 |
+
calibrater:
|
| 216 |
+
kind: imu
|
| 217 |
+
gravity: 9.81007
|
| 218 |
+
seq_name: MH_05_difficult
|
| 219 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 220 |
+
config:
|
| 221 |
+
window_size: ${train.window}
|
| 222 |
+
step_size: ${train.window}
|
| 223 |
+
seq:
|
| 224 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 225 |
+
config:
|
| 226 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 227 |
+
device: ${meta.device}
|
| 228 |
+
dtype: ${meta.dtype}
|
| 229 |
+
acc_sigma: 0.01
|
| 230 |
+
gyro_sigma: 0.01
|
| 231 |
+
debias: true
|
| 232 |
+
calibrater:
|
| 233 |
+
kind: imu
|
| 234 |
+
gravity: 9.81007
|
| 235 |
+
seq_name: MH_01_easy
|
| 236 |
+
test_dataset:
|
| 237 |
+
_outer:
|
| 238 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 239 |
+
config:
|
| 240 |
+
window_size: ${train.window}
|
| 241 |
+
step_size: ${train.window}
|
| 242 |
+
_inner:
|
| 243 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 244 |
+
_inner_config:
|
| 245 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 246 |
+
device: ${meta.device}
|
| 247 |
+
dtype: ${meta.dtype}
|
| 248 |
+
acc_sigma: 0.01
|
| 249 |
+
gyro_sigma: 0.01
|
| 250 |
+
debias: true
|
| 251 |
+
calibrater:
|
| 252 |
+
kind: imu
|
| 253 |
+
gravity: 9.81007
|
| 254 |
+
sequences:
|
| 255 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 256 |
+
config:
|
| 257 |
+
window_size: ${train.window}
|
| 258 |
+
step_size: ${train.window}
|
| 259 |
+
seq:
|
| 260 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 261 |
+
config:
|
| 262 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 263 |
+
device: ${meta.device}
|
| 264 |
+
dtype: ${meta.dtype}
|
| 265 |
+
acc_sigma: 0.01
|
| 266 |
+
gyro_sigma: 0.01
|
| 267 |
+
debias: true
|
| 268 |
+
calibrater:
|
| 269 |
+
kind: imu
|
| 270 |
+
gravity: 9.81007
|
| 271 |
+
seq_name: MH_02_easy
|
| 272 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 273 |
+
config:
|
| 274 |
+
window_size: ${train.window}
|
| 275 |
+
step_size: ${train.window}
|
| 276 |
+
seq:
|
| 277 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 278 |
+
config:
|
| 279 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 280 |
+
device: ${meta.device}
|
| 281 |
+
dtype: ${meta.dtype}
|
| 282 |
+
acc_sigma: 0.01
|
| 283 |
+
gyro_sigma: 0.01
|
| 284 |
+
debias: true
|
| 285 |
+
calibrater:
|
| 286 |
+
kind: imu
|
| 287 |
+
gravity: 9.81007
|
| 288 |
+
seq_name: MH_04_difficult
|
| 289 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 290 |
+
config:
|
| 291 |
+
window_size: ${train.window}
|
| 292 |
+
step_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.01
|
| 300 |
+
gyro_sigma: 0.01
|
| 301 |
+
debias: true
|
| 302 |
+
calibrater:
|
| 303 |
+
kind: imu
|
| 304 |
+
gravity: 9.81007
|
| 305 |
+
seq_name: V1_03_difficult
|
| 306 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 307 |
+
config:
|
| 308 |
+
window_size: ${train.window}
|
| 309 |
+
step_size: ${train.window}
|
| 310 |
+
seq:
|
| 311 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 312 |
+
config:
|
| 313 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 314 |
+
device: ${meta.device}
|
| 315 |
+
dtype: ${meta.dtype}
|
| 316 |
+
acc_sigma: 0.01
|
| 317 |
+
gyro_sigma: 0.01
|
| 318 |
+
debias: true
|
| 319 |
+
calibrater:
|
| 320 |
+
kind: imu
|
| 321 |
+
gravity: 9.81007
|
| 322 |
+
seq_name: V2_02_medium
|
| 323 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 324 |
+
config:
|
| 325 |
+
window_size: ${train.window}
|
| 326 |
+
step_size: ${train.window}
|
| 327 |
+
seq:
|
| 328 |
+
_target_: Sequence.EuRoC.EuRoC_Sequence
|
| 329 |
+
config:
|
| 330 |
+
data_root: ${host_env:DATA_ROOT}/EuRoC
|
| 331 |
+
device: ${meta.device}
|
| 332 |
+
dtype: ${meta.dtype}
|
| 333 |
+
acc_sigma: 0.01
|
| 334 |
+
gyro_sigma: 0.01
|
| 335 |
+
debias: true
|
| 336 |
+
calibrater:
|
| 337 |
+
kind: imu
|
| 338 |
+
gravity: 9.81007
|
| 339 |
+
seq_name: V1_01_easy
|
| 340 |
+
optimizer:
|
| 341 |
+
_target_: torch.optim.AdamW
|
| 342 |
+
lr: ${train.lr}
|
| 343 |
+
weight_decay: ${train.decay}
|
| 344 |
+
fused: true
|
| 345 |
+
scheduler:
|
| 346 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 347 |
+
factor: 1.0
|
| 348 |
+
total_iters: 0
|
| 349 |
+
network:
|
| 350 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 351 |
+
k_list:
|
| 352 |
+
- 7
|
| 353 |
+
- 7
|
| 354 |
+
s_list:
|
| 355 |
+
- 3
|
| 356 |
+
- 3
|
| 357 |
+
p_list:
|
| 358 |
+
- 3
|
| 359 |
+
- 3
|
| 360 |
+
imu_encoder_channels:
|
| 361 |
+
- 32
|
| 362 |
+
- 64
|
| 363 |
+
fusion_dim: 64
|
| 364 |
+
gru1_hidden: 64
|
| 365 |
+
gru2_hidden: 128
|
| 366 |
+
decoder_hidden: 128
|
| 367 |
+
bidirectional: true
|
| 368 |
+
num_imus: 1
|
| 369 |
+
imu_input: raw
|
| 370 |
+
graph:
|
| 371 |
+
_target_: Optimizer.sparse_pgo.Sparse_IMUPGOGraph
|
| 372 |
+
anchor_weight: 1000000.0
|
| 373 |
+
vel_prior_weight: 1000000.0
|
| 374 |
+
max_iter: 10
|
| 375 |
+
tol: 1.0e-05
|
| 376 |
+
obs_reject_chi2: null
|
| 377 |
+
obs_reject_all: true
|
| 378 |
+
loss:
|
| 379 |
+
_target_: Loss.adapt.Adapt_MSE_Loss
|
| 380 |
+
modality:
|
| 381 |
+
use_aux_imu: true
|
| 382 |
+
use_joints: true
|
| 383 |
+
train:
|
| 384 |
+
lr: 5.0e-05
|
| 385 |
+
decay: 0.001
|
| 386 |
+
batch: 512
|
| 387 |
+
epoch: 150
|
| 388 |
+
window: 1024
|
| 389 |
+
step_size: 252
|
| 390 |
+
ema: true
|
| 391 |
+
ema_decay: 0.8
|
| 392 |
+
freeze_bn: false
|
| 393 |
+
gravity: 9.81007
|
| 394 |
+
checkpoint_every_epochs: 1
|
| 395 |
+
plot_every_epochs: 5
|
| 396 |
+
test_every_epochs: 1
|
| 397 |
+
label_refresh_every_steps: 1000000000
|
| 398 |
+
label_batch_windows: 64
|
| 399 |
+
label_obs_sigma: 1.0
|
| 400 |
+
dv_imu_input: corrected
|
| 401 |
+
pgo_gyro_sigma: null
|
| 402 |
+
pgo_acc_sigma: null
|
| 403 |
+
zupt_sigma: 0.0
|
| 404 |
+
zupt_weight: 0.0
|
| 405 |
+
zupt_gate: imu
|
| 406 |
+
zupt_sched_enable: false
|
| 407 |
+
zupt_sched_start: null
|
| 408 |
+
zupt_sched_end: null
|
| 409 |
+
resume_from: file:/tmp/resume.ckpt
|
| 410 |
+
meta:
|
| 411 |
+
device: ${as_device:'cuda:0'}
|
| 412 |
+
dtype: ${as_dtype:'fp32'}
|
| 413 |
+
wandb:
|
| 414 |
+
project: SSIO
|
| 415 |
+
mode: online
|
| 416 |
+
name: 2b-euroc-imu
|
euroc/ssio_pgd/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_adapt_traj/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- train.resume_from=file:/tmp/resume.ckpt
|
| 117 |
+
- graph=sparse_imupgo
|
| 118 |
+
- loss=adapt_mse
|
| 119 |
+
- train.batch=512
|
| 120 |
+
- train.lr=5e-5
|
| 121 |
+
- train.checkpoint_every_epochs=1
|
| 122 |
+
- train.plot_every_epochs=5
|
| 123 |
+
- train.epoch=150
|
| 124 |
+
- train.label_obs_sigma=1.0
|
| 125 |
+
- train.dv_imu_input=corrected
|
| 126 |
+
- network=airio_imu_only
|
| 127 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 128 |
+
- dataset@val_dataset=EuRoC_Valid
|
| 129 |
+
- dataset@test_dataset=EuRoC_Test
|
| 130 |
+
- +wandb.name=2b-euroc-imu
|
| 131 |
+
job:
|
| 132 |
+
name: train_step2b_adapt
|
| 133 |
+
chdir: false
|
| 134 |
+
override_dirname: +wandb.name=2b-euroc-imu,dataset@test_dataset=EuRoC_Test,dataset@train_dataset=EuRoC_Train_Randomized,dataset@val_dataset=EuRoC_Valid,graph=sparse_imupgo,loss=adapt_mse,network=airio_imu_only,train.batch=512,train.checkpoint_every_epochs=1,train.dv_imu_input=corrected,train.epoch=150,train.label_obs_sigma=1.0,train.lr=5e-5,train.plot_every_epochs=5,train.resume_from=file:/tmp/resume.ckpt
|
| 135 |
+
id: ???
|
| 136 |
+
num: ???
|
| 137 |
+
config_name: train_adapt_traj
|
| 138 |
+
env_set: {}
|
| 139 |
+
env_copy: []
|
| 140 |
+
config:
|
| 141 |
+
override_dirname:
|
| 142 |
+
kv_sep: '='
|
| 143 |
+
item_sep: ','
|
| 144 |
+
exclude_keys: []
|
| 145 |
+
runtime:
|
| 146 |
+
version: 1.3.2
|
| 147 |
+
version_base: '1.3'
|
| 148 |
+
cwd: .
|
| 149 |
+
config_sources:
|
| 150 |
+
- path: hydra.conf
|
| 151 |
+
schema: pkg
|
| 152 |
+
provider: hydra
|
| 153 |
+
- path: ./Config
|
| 154 |
+
schema: file
|
| 155 |
+
provider: main
|
| 156 |
+
- path: ./Config
|
| 157 |
+
schema: file
|
| 158 |
+
provider: hydra.searchpath in main
|
| 159 |
+
- path: ''
|
| 160 |
+
schema: structured
|
| 161 |
+
provider: schema
|
| 162 |
+
output_dir: ./experiments/train_adapt_traj/EuRoC_Train_Randomized/20260914_081234
|
| 163 |
+
choices:
|
| 164 |
+
loss: adapt_mse
|
| 165 |
+
graph: sparse_imupgo
|
| 166 |
+
network: airio_imu_only
|
| 167 |
+
scheduler: constant
|
| 168 |
+
optimizer: adamw
|
| 169 |
+
dataset@test_dataset: EuRoC_Test
|
| 170 |
+
dataset@val_dataset: EuRoC_Valid
|
| 171 |
+
dataset@train_dataset: EuRoC_Train_Randomized
|
| 172 |
+
hydra/env: default
|
| 173 |
+
hydra/callbacks: null
|
| 174 |
+
hydra/job_logging: default
|
| 175 |
+
hydra/hydra_logging: default
|
| 176 |
+
hydra/hydra_help: default
|
| 177 |
+
hydra/help: default
|
| 178 |
+
hydra/sweeper: basic
|
| 179 |
+
hydra/launcher: basic
|
| 180 |
+
hydra/output: default
|
| 181 |
+
verbose: false
|
euroc/ssio_pgd/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- train.resume_from=file:/tmp/resume.ckpt
|
| 2 |
+
- graph=sparse_imupgo
|
| 3 |
+
- loss=adapt_mse
|
| 4 |
+
- train.batch=512
|
| 5 |
+
- train.lr=5e-5
|
| 6 |
+
- train.checkpoint_every_epochs=1
|
| 7 |
+
- train.plot_every_epochs=5
|
| 8 |
+
- train.epoch=150
|
| 9 |
+
- train.label_obs_sigma=1.0
|
| 10 |
+
- train.dv_imu_input=corrected
|
| 11 |
+
- network=airio_imu_only
|
| 12 |
+
- dataset@train_dataset=EuRoC_Train_Randomized
|
| 13 |
+
- dataset@val_dataset=EuRoC_Valid
|
| 14 |
+
- dataset@test_dataset=EuRoC_Test
|
| 15 |
+
- +wandb.name=2b-euroc-imu
|
euroc/ssio_pgd/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13ddea1d63529805c47521b7a07660726926f43215b2b346d8caa3de924866ee
|
| 3 |
+
size 1355061
|
grandtour/airio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,987 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
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|
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|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 8 |
+
_icg:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.1
|
| 13 |
+
gyro_sigma: 0.0316227766
|
| 14 |
+
num_imus: 1
|
| 15 |
+
num_joints: 12
|
| 16 |
+
target_rate: 200.0
|
| 17 |
+
debias: true
|
| 18 |
+
calibrater:
|
| 19 |
+
kind: imu
|
| 20 |
+
gyro_mean_max: 0.005
|
| 21 |
+
gt_source: cpt7_ie
|
| 22 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 23 |
+
_ici:
|
| 24 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 25 |
+
device: ${meta.device}
|
| 26 |
+
dtype: ${meta.dtype}
|
| 27 |
+
acc_sigma: 0.1
|
| 28 |
+
gyro_sigma: 0.0316227766
|
| 29 |
+
num_imus: 1
|
| 30 |
+
num_joints: 12
|
| 31 |
+
target_rate: 200.0
|
| 32 |
+
debias: true
|
| 33 |
+
calibrater:
|
| 34 |
+
kind: imu
|
| 35 |
+
gyro_mean_max: 0.005
|
| 36 |
+
gt_source: state_estimator
|
| 37 |
+
sequences:
|
| 38 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 39 |
+
config:
|
| 40 |
+
window_size: ${train.window}
|
| 41 |
+
seq:
|
| 42 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 43 |
+
config:
|
| 44 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 45 |
+
device: ${meta.device}
|
| 46 |
+
dtype: ${meta.dtype}
|
| 47 |
+
acc_sigma: 0.1
|
| 48 |
+
gyro_sigma: 0.0316227766
|
| 49 |
+
num_imus: 1
|
| 50 |
+
num_joints: 12
|
| 51 |
+
target_rate: 200.0
|
| 52 |
+
debias: true
|
| 53 |
+
calibrater:
|
| 54 |
+
kind: imu
|
| 55 |
+
gyro_mean_max: 0.005
|
| 56 |
+
gt_source: cpt7_ie
|
| 57 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 58 |
+
seq_name: 2024-11-02-17-10-25
|
| 59 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 60 |
+
config:
|
| 61 |
+
window_size: ${train.window}
|
| 62 |
+
seq:
|
| 63 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 64 |
+
config:
|
| 65 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 66 |
+
device: ${meta.device}
|
| 67 |
+
dtype: ${meta.dtype}
|
| 68 |
+
acc_sigma: 0.1
|
| 69 |
+
gyro_sigma: 0.0316227766
|
| 70 |
+
num_imus: 1
|
| 71 |
+
num_joints: 12
|
| 72 |
+
target_rate: 200.0
|
| 73 |
+
debias: true
|
| 74 |
+
calibrater:
|
| 75 |
+
kind: imu
|
| 76 |
+
gyro_mean_max: 0.005
|
| 77 |
+
gt_source: cpt7_ie
|
| 78 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 79 |
+
seq_name: 2024-11-02-17-18-32
|
| 80 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 81 |
+
config:
|
| 82 |
+
window_size: ${train.window}
|
| 83 |
+
seq:
|
| 84 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 85 |
+
config:
|
| 86 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 87 |
+
device: ${meta.device}
|
| 88 |
+
dtype: ${meta.dtype}
|
| 89 |
+
acc_sigma: 0.1
|
| 90 |
+
gyro_sigma: 0.0316227766
|
| 91 |
+
num_imus: 1
|
| 92 |
+
num_joints: 12
|
| 93 |
+
target_rate: 200.0
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gyro_mean_max: 0.005
|
| 98 |
+
gt_source: cpt7_ie
|
| 99 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 100 |
+
seq_name: 2024-11-04-12-55-59
|
| 101 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 102 |
+
config:
|
| 103 |
+
window_size: ${train.window}
|
| 104 |
+
seq:
|
| 105 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 106 |
+
config:
|
| 107 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 108 |
+
device: ${meta.device}
|
| 109 |
+
dtype: ${meta.dtype}
|
| 110 |
+
acc_sigma: 0.1
|
| 111 |
+
gyro_sigma: 0.0316227766
|
| 112 |
+
num_imus: 1
|
| 113 |
+
num_joints: 12
|
| 114 |
+
target_rate: 200.0
|
| 115 |
+
debias: true
|
| 116 |
+
calibrater:
|
| 117 |
+
kind: imu
|
| 118 |
+
gyro_mean_max: 0.005
|
| 119 |
+
gt_source: cpt7_ie
|
| 120 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 121 |
+
seq_name: 2024-11-11-12-07-40
|
| 122 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 123 |
+
config:
|
| 124 |
+
window_size: ${train.window}
|
| 125 |
+
seq:
|
| 126 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 127 |
+
config:
|
| 128 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 129 |
+
device: ${meta.device}
|
| 130 |
+
dtype: ${meta.dtype}
|
| 131 |
+
acc_sigma: 0.1
|
| 132 |
+
gyro_sigma: 0.0316227766
|
| 133 |
+
num_imus: 1
|
| 134 |
+
num_joints: 12
|
| 135 |
+
target_rate: 200.0
|
| 136 |
+
debias: true
|
| 137 |
+
calibrater:
|
| 138 |
+
kind: imu
|
| 139 |
+
gyro_mean_max: 0.005
|
| 140 |
+
gt_source: cpt7_ie
|
| 141 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 142 |
+
seq_name: 2024-11-14-11-17-02
|
| 143 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 144 |
+
config:
|
| 145 |
+
window_size: ${train.window}
|
| 146 |
+
seq:
|
| 147 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 148 |
+
config:
|
| 149 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 150 |
+
device: ${meta.device}
|
| 151 |
+
dtype: ${meta.dtype}
|
| 152 |
+
acc_sigma: 0.1
|
| 153 |
+
gyro_sigma: 0.0316227766
|
| 154 |
+
num_imus: 1
|
| 155 |
+
num_joints: 12
|
| 156 |
+
target_rate: 200.0
|
| 157 |
+
debias: true
|
| 158 |
+
calibrater:
|
| 159 |
+
kind: imu
|
| 160 |
+
gyro_mean_max: 0.005
|
| 161 |
+
gt_source: cpt7_ie
|
| 162 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 163 |
+
seq_name: 2024-11-14-15-22-43
|
| 164 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 165 |
+
config:
|
| 166 |
+
window_size: ${train.window}
|
| 167 |
+
seq:
|
| 168 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 169 |
+
config:
|
| 170 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 171 |
+
device: ${meta.device}
|
| 172 |
+
dtype: ${meta.dtype}
|
| 173 |
+
acc_sigma: 0.1
|
| 174 |
+
gyro_sigma: 0.0316227766
|
| 175 |
+
num_imus: 1
|
| 176 |
+
num_joints: 12
|
| 177 |
+
target_rate: 200.0
|
| 178 |
+
debias: true
|
| 179 |
+
calibrater:
|
| 180 |
+
kind: imu
|
| 181 |
+
gyro_mean_max: 0.005
|
| 182 |
+
gt_source: cpt7_ie
|
| 183 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 184 |
+
seq_name: 2024-11-14-16-04-09
|
| 185 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
seq:
|
| 189 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 190 |
+
config:
|
| 191 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 192 |
+
device: ${meta.device}
|
| 193 |
+
dtype: ${meta.dtype}
|
| 194 |
+
acc_sigma: 0.1
|
| 195 |
+
gyro_sigma: 0.0316227766
|
| 196 |
+
num_imus: 1
|
| 197 |
+
num_joints: 12
|
| 198 |
+
target_rate: 200.0
|
| 199 |
+
debias: true
|
| 200 |
+
calibrater:
|
| 201 |
+
kind: imu
|
| 202 |
+
gyro_mean_max: 0.005
|
| 203 |
+
gt_source: cpt7_ie
|
| 204 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 205 |
+
seq_name: 2024-11-15-11-18-14
|
| 206 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 207 |
+
config:
|
| 208 |
+
window_size: ${train.window}
|
| 209 |
+
seq:
|
| 210 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 211 |
+
config:
|
| 212 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 213 |
+
device: ${meta.device}
|
| 214 |
+
dtype: ${meta.dtype}
|
| 215 |
+
acc_sigma: 0.1
|
| 216 |
+
gyro_sigma: 0.0316227766
|
| 217 |
+
num_imus: 1
|
| 218 |
+
num_joints: 12
|
| 219 |
+
target_rate: 200.0
|
| 220 |
+
debias: true
|
| 221 |
+
calibrater:
|
| 222 |
+
kind: imu
|
| 223 |
+
gyro_mean_max: 0.005
|
| 224 |
+
gt_source: cpt7_ie
|
| 225 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 226 |
+
seq_name: 2024-11-15-11-37-15
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.1
|
| 237 |
+
gyro_sigma: 0.0316227766
|
| 238 |
+
num_imus: 1
|
| 239 |
+
num_joints: 12
|
| 240 |
+
target_rate: 200.0
|
| 241 |
+
debias: true
|
| 242 |
+
calibrater:
|
| 243 |
+
kind: imu
|
| 244 |
+
gyro_mean_max: 0.005
|
| 245 |
+
gt_source: cpt7_ie
|
| 246 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 247 |
+
seq_name: 2024-11-15-12-06-03
|
| 248 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 249 |
+
config:
|
| 250 |
+
window_size: ${train.window}
|
| 251 |
+
seq:
|
| 252 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 253 |
+
config:
|
| 254 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 255 |
+
device: ${meta.device}
|
| 256 |
+
dtype: ${meta.dtype}
|
| 257 |
+
acc_sigma: 0.1
|
| 258 |
+
gyro_sigma: 0.0316227766
|
| 259 |
+
num_imus: 1
|
| 260 |
+
num_joints: 12
|
| 261 |
+
target_rate: 200.0
|
| 262 |
+
debias: true
|
| 263 |
+
calibrater:
|
| 264 |
+
kind: imu
|
| 265 |
+
gyro_mean_max: 0.005
|
| 266 |
+
gt_source: cpt7_ie
|
| 267 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 268 |
+
seq_name: 2024-11-15-14-14-12
|
| 269 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 270 |
+
config:
|
| 271 |
+
window_size: ${train.window}
|
| 272 |
+
seq:
|
| 273 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 274 |
+
config:
|
| 275 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 276 |
+
device: ${meta.device}
|
| 277 |
+
dtype: ${meta.dtype}
|
| 278 |
+
acc_sigma: 0.1
|
| 279 |
+
gyro_sigma: 0.0316227766
|
| 280 |
+
num_imus: 1
|
| 281 |
+
num_joints: 12
|
| 282 |
+
target_rate: 200.0
|
| 283 |
+
debias: true
|
| 284 |
+
calibrater:
|
| 285 |
+
kind: imu
|
| 286 |
+
gyro_mean_max: 0.005
|
| 287 |
+
gt_source: cpt7_ie
|
| 288 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 289 |
+
seq_name: 2024-11-15-14-43-52
|
| 290 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 291 |
+
config:
|
| 292 |
+
window_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.1
|
| 300 |
+
gyro_sigma: 0.0316227766
|
| 301 |
+
num_imus: 1
|
| 302 |
+
num_joints: 12
|
| 303 |
+
target_rate: 200.0
|
| 304 |
+
debias: true
|
| 305 |
+
calibrater:
|
| 306 |
+
kind: imu
|
| 307 |
+
gyro_mean_max: 0.005
|
| 308 |
+
gt_source: cpt7_ie
|
| 309 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 310 |
+
seq_name: 2024-11-18-13-22-14
|
| 311 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 312 |
+
config:
|
| 313 |
+
window_size: ${train.window}
|
| 314 |
+
seq:
|
| 315 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 316 |
+
config:
|
| 317 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 318 |
+
device: ${meta.device}
|
| 319 |
+
dtype: ${meta.dtype}
|
| 320 |
+
acc_sigma: 0.1
|
| 321 |
+
gyro_sigma: 0.0316227766
|
| 322 |
+
num_imus: 1
|
| 323 |
+
num_joints: 12
|
| 324 |
+
target_rate: 200.0
|
| 325 |
+
debias: true
|
| 326 |
+
calibrater:
|
| 327 |
+
kind: imu
|
| 328 |
+
gyro_mean_max: 0.005
|
| 329 |
+
gt_source: cpt7_ie
|
| 330 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 331 |
+
seq_name: 2024-11-18-13-48-19
|
| 332 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 333 |
+
config:
|
| 334 |
+
window_size: ${train.window}
|
| 335 |
+
seq:
|
| 336 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 337 |
+
config:
|
| 338 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 339 |
+
device: ${meta.device}
|
| 340 |
+
dtype: ${meta.dtype}
|
| 341 |
+
acc_sigma: 0.1
|
| 342 |
+
gyro_sigma: 0.0316227766
|
| 343 |
+
num_imus: 1
|
| 344 |
+
num_joints: 12
|
| 345 |
+
target_rate: 200.0
|
| 346 |
+
debias: true
|
| 347 |
+
calibrater:
|
| 348 |
+
kind: imu
|
| 349 |
+
gyro_mean_max: 0.005
|
| 350 |
+
gt_source: cpt7_ie
|
| 351 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 352 |
+
seq_name: 2024-11-18-15-46-05
|
| 353 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 354 |
+
config:
|
| 355 |
+
window_size: ${train.window}
|
| 356 |
+
seq:
|
| 357 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 358 |
+
config:
|
| 359 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 360 |
+
device: ${meta.device}
|
| 361 |
+
dtype: ${meta.dtype}
|
| 362 |
+
acc_sigma: 0.1
|
| 363 |
+
gyro_sigma: 0.0316227766
|
| 364 |
+
num_imus: 1
|
| 365 |
+
num_joints: 12
|
| 366 |
+
target_rate: 200.0
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
gyro_mean_max: 0.005
|
| 371 |
+
gt_source: cpt7_ie
|
| 372 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 373 |
+
seq_name: 2024-11-18-16-59-23
|
| 374 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 375 |
+
config:
|
| 376 |
+
window_size: ${train.window}
|
| 377 |
+
seq:
|
| 378 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 379 |
+
config:
|
| 380 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 381 |
+
device: ${meta.device}
|
| 382 |
+
dtype: ${meta.dtype}
|
| 383 |
+
acc_sigma: 0.1
|
| 384 |
+
gyro_sigma: 0.0316227766
|
| 385 |
+
num_imus: 1
|
| 386 |
+
num_joints: 12
|
| 387 |
+
target_rate: 200.0
|
| 388 |
+
debias: true
|
| 389 |
+
calibrater:
|
| 390 |
+
kind: imu
|
| 391 |
+
gyro_mean_max: 0.005
|
| 392 |
+
gt_source: cpt7_ie
|
| 393 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 394 |
+
seq_name: 2024-12-03-13-15-38
|
| 395 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 396 |
+
config:
|
| 397 |
+
window_size: ${train.window}
|
| 398 |
+
seq:
|
| 399 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 400 |
+
config:
|
| 401 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 402 |
+
device: ${meta.device}
|
| 403 |
+
dtype: ${meta.dtype}
|
| 404 |
+
acc_sigma: 0.1
|
| 405 |
+
gyro_sigma: 0.0316227766
|
| 406 |
+
num_imus: 1
|
| 407 |
+
num_joints: 12
|
| 408 |
+
target_rate: 200.0
|
| 409 |
+
debias: true
|
| 410 |
+
calibrater:
|
| 411 |
+
kind: imu
|
| 412 |
+
gyro_mean_max: 0.005
|
| 413 |
+
gt_source: cpt7_ie
|
| 414 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 415 |
+
seq_name: 2024-12-03-13-26-40
|
| 416 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 417 |
+
config:
|
| 418 |
+
window_size: ${train.window}
|
| 419 |
+
seq:
|
| 420 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 421 |
+
config:
|
| 422 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 423 |
+
device: ${meta.device}
|
| 424 |
+
dtype: ${meta.dtype}
|
| 425 |
+
acc_sigma: 0.1
|
| 426 |
+
gyro_sigma: 0.0316227766
|
| 427 |
+
num_imus: 1
|
| 428 |
+
num_joints: 12
|
| 429 |
+
target_rate: 200.0
|
| 430 |
+
debias: true
|
| 431 |
+
calibrater:
|
| 432 |
+
kind: imu
|
| 433 |
+
gyro_mean_max: 0.005
|
| 434 |
+
gt_source: cpt7_ie
|
| 435 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 436 |
+
seq_name: 2024-11-25-14-57-08
|
| 437 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 438 |
+
config:
|
| 439 |
+
window_size: ${train.window}
|
| 440 |
+
seq:
|
| 441 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 442 |
+
config:
|
| 443 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 444 |
+
device: ${meta.device}
|
| 445 |
+
dtype: ${meta.dtype}
|
| 446 |
+
acc_sigma: 0.1
|
| 447 |
+
gyro_sigma: 0.0316227766
|
| 448 |
+
num_imus: 1
|
| 449 |
+
num_joints: 12
|
| 450 |
+
target_rate: 200.0
|
| 451 |
+
debias: true
|
| 452 |
+
calibrater:
|
| 453 |
+
kind: imu
|
| 454 |
+
gyro_mean_max: 0.005
|
| 455 |
+
gt_source: cpt7_ie
|
| 456 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 457 |
+
seq_name: 2024-11-25-16-36-19
|
| 458 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 459 |
+
config:
|
| 460 |
+
window_size: ${train.window}
|
| 461 |
+
seq:
|
| 462 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 463 |
+
config:
|
| 464 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 465 |
+
device: ${meta.device}
|
| 466 |
+
dtype: ${meta.dtype}
|
| 467 |
+
acc_sigma: 0.1
|
| 468 |
+
gyro_sigma: 0.0316227766
|
| 469 |
+
num_imus: 1
|
| 470 |
+
num_joints: 12
|
| 471 |
+
target_rate: 200.0
|
| 472 |
+
debias: true
|
| 473 |
+
calibrater:
|
| 474 |
+
kind: imu
|
| 475 |
+
gyro_mean_max: 0.005
|
| 476 |
+
gt_source: state_estimator
|
| 477 |
+
seq_name: 2024-10-01-11-47-44
|
| 478 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 479 |
+
config:
|
| 480 |
+
window_size: ${train.window}
|
| 481 |
+
seq:
|
| 482 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 483 |
+
config:
|
| 484 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 485 |
+
device: ${meta.device}
|
| 486 |
+
dtype: ${meta.dtype}
|
| 487 |
+
acc_sigma: 0.1
|
| 488 |
+
gyro_sigma: 0.0316227766
|
| 489 |
+
num_imus: 1
|
| 490 |
+
num_joints: 12
|
| 491 |
+
target_rate: 200.0
|
| 492 |
+
debias: true
|
| 493 |
+
calibrater:
|
| 494 |
+
kind: imu
|
| 495 |
+
gyro_mean_max: 0.005
|
| 496 |
+
gt_source: state_estimator
|
| 497 |
+
seq_name: 2024-11-11-16-14-23
|
| 498 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 499 |
+
config:
|
| 500 |
+
window_size: ${train.window}
|
| 501 |
+
seq:
|
| 502 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 503 |
+
config:
|
| 504 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 505 |
+
device: ${meta.device}
|
| 506 |
+
dtype: ${meta.dtype}
|
| 507 |
+
acc_sigma: 0.1
|
| 508 |
+
gyro_sigma: 0.0316227766
|
| 509 |
+
num_imus: 1
|
| 510 |
+
num_joints: 12
|
| 511 |
+
target_rate: 200.0
|
| 512 |
+
debias: true
|
| 513 |
+
calibrater:
|
| 514 |
+
kind: imu
|
| 515 |
+
gyro_mean_max: 0.005
|
| 516 |
+
gt_source: state_estimator
|
| 517 |
+
seq_name: 2024-11-18-17-13-09
|
| 518 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 519 |
+
config:
|
| 520 |
+
window_size: ${train.window}
|
| 521 |
+
seq:
|
| 522 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 523 |
+
config:
|
| 524 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 525 |
+
device: ${meta.device}
|
| 526 |
+
dtype: ${meta.dtype}
|
| 527 |
+
acc_sigma: 0.1
|
| 528 |
+
gyro_sigma: 0.0316227766
|
| 529 |
+
num_imus: 1
|
| 530 |
+
num_joints: 12
|
| 531 |
+
target_rate: 200.0
|
| 532 |
+
debias: true
|
| 533 |
+
calibrater:
|
| 534 |
+
kind: imu
|
| 535 |
+
gyro_mean_max: 0.005
|
| 536 |
+
gt_source: state_estimator
|
| 537 |
+
seq_name: 2024-11-18-17-31-36
|
| 538 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 539 |
+
config:
|
| 540 |
+
window_size: ${train.window}
|
| 541 |
+
seq:
|
| 542 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 543 |
+
config:
|
| 544 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 545 |
+
device: ${meta.device}
|
| 546 |
+
dtype: ${meta.dtype}
|
| 547 |
+
acc_sigma: 0.1
|
| 548 |
+
gyro_sigma: 0.0316227766
|
| 549 |
+
num_imus: 1
|
| 550 |
+
num_joints: 12
|
| 551 |
+
target_rate: 200.0
|
| 552 |
+
debias: true
|
| 553 |
+
calibrater:
|
| 554 |
+
kind: imu
|
| 555 |
+
gyro_mean_max: 0.005
|
| 556 |
+
gt_source: state_estimator
|
| 557 |
+
seq_name: 2024-12-09-09-34-43
|
| 558 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 559 |
+
config:
|
| 560 |
+
window_size: ${train.window}
|
| 561 |
+
seq:
|
| 562 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 563 |
+
config:
|
| 564 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 565 |
+
device: ${meta.device}
|
| 566 |
+
dtype: ${meta.dtype}
|
| 567 |
+
acc_sigma: 0.1
|
| 568 |
+
gyro_sigma: 0.0316227766
|
| 569 |
+
num_imus: 1
|
| 570 |
+
num_joints: 12
|
| 571 |
+
target_rate: 200.0
|
| 572 |
+
debias: true
|
| 573 |
+
calibrater:
|
| 574 |
+
kind: imu
|
| 575 |
+
gyro_mean_max: 0.005
|
| 576 |
+
gt_source: state_estimator
|
| 577 |
+
seq_name: 2024-12-09-09-41-46
|
| 578 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 579 |
+
config:
|
| 580 |
+
window_size: ${train.window}
|
| 581 |
+
seq:
|
| 582 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 583 |
+
config:
|
| 584 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 585 |
+
device: ${meta.device}
|
| 586 |
+
dtype: ${meta.dtype}
|
| 587 |
+
acc_sigma: 0.1
|
| 588 |
+
gyro_sigma: 0.0316227766
|
| 589 |
+
num_imus: 1
|
| 590 |
+
num_joints: 12
|
| 591 |
+
target_rate: 200.0
|
| 592 |
+
debias: true
|
| 593 |
+
calibrater:
|
| 594 |
+
kind: imu
|
| 595 |
+
gyro_mean_max: 0.005
|
| 596 |
+
gt_source: state_estimator
|
| 597 |
+
seq_name: 2024-12-09-11-28-28
|
| 598 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 599 |
+
config:
|
| 600 |
+
window_size: ${train.window}
|
| 601 |
+
seq:
|
| 602 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 603 |
+
config:
|
| 604 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 605 |
+
device: ${meta.device}
|
| 606 |
+
dtype: ${meta.dtype}
|
| 607 |
+
acc_sigma: 0.1
|
| 608 |
+
gyro_sigma: 0.0316227766
|
| 609 |
+
num_imus: 1
|
| 610 |
+
num_joints: 12
|
| 611 |
+
target_rate: 200.0
|
| 612 |
+
debias: true
|
| 613 |
+
calibrater:
|
| 614 |
+
kind: imu
|
| 615 |
+
gyro_mean_max: 0.005
|
| 616 |
+
gt_source: state_estimator
|
| 617 |
+
seq_name: 2024-12-09-11-53-11
|
| 618 |
+
val_dataset:
|
| 619 |
+
_outer:
|
| 620 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 621 |
+
config:
|
| 622 |
+
window_size: ${train.window}
|
| 623 |
+
step_size: ${train.window}
|
| 624 |
+
_inner:
|
| 625 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 626 |
+
_icg:
|
| 627 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 628 |
+
device: ${meta.device}
|
| 629 |
+
dtype: ${meta.dtype}
|
| 630 |
+
acc_sigma: 0.1
|
| 631 |
+
gyro_sigma: 0.0316227766
|
| 632 |
+
num_imus: 1
|
| 633 |
+
num_joints: 12
|
| 634 |
+
target_rate: 200.0
|
| 635 |
+
debias: true
|
| 636 |
+
calibrater:
|
| 637 |
+
kind: imu
|
| 638 |
+
gyro_mean_max: 0.005
|
| 639 |
+
gt_source: cpt7_ie
|
| 640 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 641 |
+
sequences:
|
| 642 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 643 |
+
config:
|
| 644 |
+
window_size: ${train.window}
|
| 645 |
+
step_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.1
|
| 653 |
+
gyro_sigma: 0.0316227766
|
| 654 |
+
num_imus: 1
|
| 655 |
+
num_joints: 12
|
| 656 |
+
target_rate: 200.0
|
| 657 |
+
debias: true
|
| 658 |
+
calibrater:
|
| 659 |
+
kind: imu
|
| 660 |
+
gyro_mean_max: 0.005
|
| 661 |
+
gt_source: cpt7_ie
|
| 662 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 663 |
+
seq_name: 2024-11-15-10-16-35
|
| 664 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 665 |
+
config:
|
| 666 |
+
window_size: ${train.window}
|
| 667 |
+
step_size: ${train.window}
|
| 668 |
+
seq:
|
| 669 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 670 |
+
config:
|
| 671 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 672 |
+
device: ${meta.device}
|
| 673 |
+
dtype: ${meta.dtype}
|
| 674 |
+
acc_sigma: 0.1
|
| 675 |
+
gyro_sigma: 0.0316227766
|
| 676 |
+
num_imus: 1
|
| 677 |
+
num_joints: 12
|
| 678 |
+
target_rate: 200.0
|
| 679 |
+
debias: true
|
| 680 |
+
calibrater:
|
| 681 |
+
kind: imu
|
| 682 |
+
gyro_mean_max: 0.005
|
| 683 |
+
gt_source: cpt7_ie
|
| 684 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 685 |
+
seq_name: 2024-11-15-16-41-14
|
| 686 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 687 |
+
config:
|
| 688 |
+
window_size: ${train.window}
|
| 689 |
+
step_size: ${train.window}
|
| 690 |
+
seq:
|
| 691 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 692 |
+
config:
|
| 693 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 694 |
+
device: ${meta.device}
|
| 695 |
+
dtype: ${meta.dtype}
|
| 696 |
+
acc_sigma: 0.1
|
| 697 |
+
gyro_sigma: 0.0316227766
|
| 698 |
+
num_imus: 1
|
| 699 |
+
num_joints: 12
|
| 700 |
+
target_rate: 200.0
|
| 701 |
+
debias: true
|
| 702 |
+
calibrater:
|
| 703 |
+
kind: imu
|
| 704 |
+
gyro_mean_max: 0.005
|
| 705 |
+
gt_source: cpt7_ie
|
| 706 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 707 |
+
seq_name: 2024-11-11-12-42-47
|
| 708 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 709 |
+
config:
|
| 710 |
+
window_size: ${train.window}
|
| 711 |
+
step_size: ${train.window}
|
| 712 |
+
seq:
|
| 713 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 714 |
+
config:
|
| 715 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 716 |
+
device: ${meta.device}
|
| 717 |
+
dtype: ${meta.dtype}
|
| 718 |
+
acc_sigma: 0.1
|
| 719 |
+
gyro_sigma: 0.0316227766
|
| 720 |
+
num_imus: 1
|
| 721 |
+
num_joints: 12
|
| 722 |
+
target_rate: 200.0
|
| 723 |
+
debias: true
|
| 724 |
+
calibrater:
|
| 725 |
+
kind: imu
|
| 726 |
+
gyro_mean_max: 0.005
|
| 727 |
+
gt_source: cpt7_ie
|
| 728 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 729 |
+
seq_name: 2024-11-03-07-52-45
|
| 730 |
+
test_dataset:
|
| 731 |
+
_outer:
|
| 732 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 733 |
+
config:
|
| 734 |
+
window_size: ${train.window}
|
| 735 |
+
step_size: ${train.window}
|
| 736 |
+
_inner:
|
| 737 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 738 |
+
_icg:
|
| 739 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 740 |
+
device: ${meta.device}
|
| 741 |
+
dtype: ${meta.dtype}
|
| 742 |
+
acc_sigma: 0.1
|
| 743 |
+
gyro_sigma: 0.0316227766
|
| 744 |
+
num_imus: 1
|
| 745 |
+
num_joints: 12
|
| 746 |
+
target_rate: 200.0
|
| 747 |
+
debias: true
|
| 748 |
+
calibrater:
|
| 749 |
+
kind: imu
|
| 750 |
+
gyro_mean_max: 0.005
|
| 751 |
+
gt_source: cpt7_ie
|
| 752 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 753 |
+
sequences:
|
| 754 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 755 |
+
config:
|
| 756 |
+
window_size: ${train.window}
|
| 757 |
+
step_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.1
|
| 765 |
+
gyro_sigma: 0.0316227766
|
| 766 |
+
num_imus: 1
|
| 767 |
+
num_joints: 12
|
| 768 |
+
target_rate: 200.0
|
| 769 |
+
debias: true
|
| 770 |
+
calibrater:
|
| 771 |
+
kind: imu
|
| 772 |
+
gyro_mean_max: 0.005
|
| 773 |
+
gt_source: cpt7_ie
|
| 774 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 775 |
+
seq_name: 2024-10-01-11-29-55
|
| 776 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 777 |
+
config:
|
| 778 |
+
window_size: ${train.window}
|
| 779 |
+
step_size: ${train.window}
|
| 780 |
+
seq:
|
| 781 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 782 |
+
config:
|
| 783 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 784 |
+
device: ${meta.device}
|
| 785 |
+
dtype: ${meta.dtype}
|
| 786 |
+
acc_sigma: 0.1
|
| 787 |
+
gyro_sigma: 0.0316227766
|
| 788 |
+
num_imus: 1
|
| 789 |
+
num_joints: 12
|
| 790 |
+
target_rate: 200.0
|
| 791 |
+
debias: true
|
| 792 |
+
calibrater:
|
| 793 |
+
kind: imu
|
| 794 |
+
gyro_mean_max: 0.005
|
| 795 |
+
gt_source: cpt7_ie
|
| 796 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 797 |
+
seq_name: 2024-10-01-12-00-49
|
| 798 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 799 |
+
config:
|
| 800 |
+
window_size: ${train.window}
|
| 801 |
+
step_size: ${train.window}
|
| 802 |
+
seq:
|
| 803 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 804 |
+
config:
|
| 805 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 806 |
+
device: ${meta.device}
|
| 807 |
+
dtype: ${meta.dtype}
|
| 808 |
+
acc_sigma: 0.1
|
| 809 |
+
gyro_sigma: 0.0316227766
|
| 810 |
+
num_imus: 1
|
| 811 |
+
num_joints: 12
|
| 812 |
+
target_rate: 200.0
|
| 813 |
+
debias: true
|
| 814 |
+
calibrater:
|
| 815 |
+
kind: imu
|
| 816 |
+
gyro_mean_max: 0.005
|
| 817 |
+
gt_source: cpt7_ie
|
| 818 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 819 |
+
seq_name: 2024-11-04-10-57-34
|
| 820 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 821 |
+
config:
|
| 822 |
+
window_size: ${train.window}
|
| 823 |
+
step_size: ${train.window}
|
| 824 |
+
seq:
|
| 825 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 826 |
+
config:
|
| 827 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 828 |
+
device: ${meta.device}
|
| 829 |
+
dtype: ${meta.dtype}
|
| 830 |
+
acc_sigma: 0.1
|
| 831 |
+
gyro_sigma: 0.0316227766
|
| 832 |
+
num_imus: 1
|
| 833 |
+
num_joints: 12
|
| 834 |
+
target_rate: 200.0
|
| 835 |
+
debias: true
|
| 836 |
+
calibrater:
|
| 837 |
+
kind: imu
|
| 838 |
+
gyro_mean_max: 0.005
|
| 839 |
+
gt_source: cpt7_ie
|
| 840 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 841 |
+
seq_name: 2024-11-03-13-51-43
|
| 842 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 843 |
+
config:
|
| 844 |
+
window_size: ${train.window}
|
| 845 |
+
step_size: ${train.window}
|
| 846 |
+
seq:
|
| 847 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 848 |
+
config:
|
| 849 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 850 |
+
device: ${meta.device}
|
| 851 |
+
dtype: ${meta.dtype}
|
| 852 |
+
acc_sigma: 0.1
|
| 853 |
+
gyro_sigma: 0.0316227766
|
| 854 |
+
num_imus: 1
|
| 855 |
+
num_joints: 12
|
| 856 |
+
target_rate: 200.0
|
| 857 |
+
debias: true
|
| 858 |
+
calibrater:
|
| 859 |
+
kind: imu
|
| 860 |
+
gyro_mean_max: 0.005
|
| 861 |
+
gt_source: cpt7_ie
|
| 862 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 863 |
+
seq_name: 2024-11-14-13-45-37
|
| 864 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 865 |
+
config:
|
| 866 |
+
window_size: ${train.window}
|
| 867 |
+
step_size: ${train.window}
|
| 868 |
+
seq:
|
| 869 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 870 |
+
config:
|
| 871 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 872 |
+
device: ${meta.device}
|
| 873 |
+
dtype: ${meta.dtype}
|
| 874 |
+
acc_sigma: 0.1
|
| 875 |
+
gyro_sigma: 0.0316227766
|
| 876 |
+
num_imus: 1
|
| 877 |
+
num_joints: 12
|
| 878 |
+
target_rate: 200.0
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
gyro_mean_max: 0.005
|
| 883 |
+
gt_source: cpt7_ie
|
| 884 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 885 |
+
seq_name: 2024-11-02-21-12-51
|
| 886 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 887 |
+
config:
|
| 888 |
+
window_size: ${train.window}
|
| 889 |
+
step_size: ${train.window}
|
| 890 |
+
seq:
|
| 891 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 892 |
+
config:
|
| 893 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 894 |
+
device: ${meta.device}
|
| 895 |
+
dtype: ${meta.dtype}
|
| 896 |
+
acc_sigma: 0.1
|
| 897 |
+
gyro_sigma: 0.0316227766
|
| 898 |
+
num_imus: 1
|
| 899 |
+
num_joints: 12
|
| 900 |
+
target_rate: 200.0
|
| 901 |
+
debias: true
|
| 902 |
+
calibrater:
|
| 903 |
+
kind: imu
|
| 904 |
+
gyro_mean_max: 0.005
|
| 905 |
+
gt_source: cpt7_ie
|
| 906 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 907 |
+
seq_name: 2024-11-03-07-57-34
|
| 908 |
+
network:
|
| 909 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 910 |
+
k_list:
|
| 911 |
+
- 7
|
| 912 |
+
- 7
|
| 913 |
+
s_list:
|
| 914 |
+
- 3
|
| 915 |
+
- 3
|
| 916 |
+
p_list:
|
| 917 |
+
- 3
|
| 918 |
+
- 3
|
| 919 |
+
imu_encoder_channels:
|
| 920 |
+
- 32
|
| 921 |
+
- 64
|
| 922 |
+
fusion_dim: 64
|
| 923 |
+
gru1_hidden: 64
|
| 924 |
+
gru2_hidden: 128
|
| 925 |
+
decoder_hidden: 128
|
| 926 |
+
bidirectional: true
|
| 927 |
+
num_imus: 1
|
| 928 |
+
imu_input: raw
|
| 929 |
+
optimizer:
|
| 930 |
+
_target_: torch.optim.AdamW
|
| 931 |
+
lr: ${train.lr}
|
| 932 |
+
weight_decay: ${train.decay}
|
| 933 |
+
fused: true
|
| 934 |
+
scheduler:
|
| 935 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 936 |
+
factor: 1.0
|
| 937 |
+
total_iters: 0
|
| 938 |
+
loss:
|
| 939 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 940 |
+
base_weight: 0.0
|
| 941 |
+
anchor_weight: 100.0
|
| 942 |
+
anchor_loss: Huber
|
| 943 |
+
huber_delta: 0.005
|
| 944 |
+
cov_anchor_weight: 0.01
|
| 945 |
+
covaug: true
|
| 946 |
+
cov_floor: 1.0e-06
|
| 947 |
+
base:
|
| 948 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 949 |
+
dv:
|
| 950 |
+
- - 1
|
| 951 |
+
- 1.0
|
| 952 |
+
modality:
|
| 953 |
+
use_aux_imu: false
|
| 954 |
+
use_joints: false
|
| 955 |
+
train:
|
| 956 |
+
lr: 0.001
|
| 957 |
+
decay: 0.001
|
| 958 |
+
batch: 512
|
| 959 |
+
labeled_ratio: 0.5
|
| 960 |
+
num_workers: 0
|
| 961 |
+
data_ratio: 1.0
|
| 962 |
+
epoch: 30
|
| 963 |
+
window: 1024
|
| 964 |
+
ema: true
|
| 965 |
+
freeze_bn: false
|
| 966 |
+
gravity: 9.81007
|
| 967 |
+
checkpoint_every_epochs: 1
|
| 968 |
+
plot_every_epochs: 10
|
| 969 |
+
test_every_epochs: 1
|
| 970 |
+
max_train_steps: null
|
| 971 |
+
zupt_weight: 0.0
|
| 972 |
+
zupt_gate: all
|
| 973 |
+
zupt_speed_max: 0.02
|
| 974 |
+
zupt_sched_enable: false
|
| 975 |
+
zupt_sched_start: null
|
| 976 |
+
zupt_sched_end: null
|
| 977 |
+
dv_imu_input: corrected
|
| 978 |
+
acc_noise_std: 0.0
|
| 979 |
+
gyro_noise_std: 0.0
|
| 980 |
+
resume_from: null
|
| 981 |
+
meta:
|
| 982 |
+
device: ${as_device:'cuda:0'}
|
| 983 |
+
dtype: ${as_dtype:'fp32'}
|
| 984 |
+
wandb:
|
| 985 |
+
project: SSIO
|
| 986 |
+
mode: online
|
| 987 |
+
name: null
|
grandtour/airio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio_imu_only
|
| 119 |
+
- modality.use_joints=false
|
| 120 |
+
- modality.use_aux_imu=false
|
| 121 |
+
- train.epoch=30
|
| 122 |
+
- train.checkpoint_every_epochs=1
|
| 123 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 124 |
+
- dataset@val_dataset=ANYmal_Val
|
| 125 |
+
- dataset@test_dataset=ANYmal_Test
|
| 126 |
+
job:
|
| 127 |
+
name: train_step1_ssio
|
| 128 |
+
chdir: false
|
| 129 |
+
override_dirname: dataset@test_dataset=ANYmal_Test,dataset@train_dataset=ANYmal_SSL,dataset@val_dataset=ANYmal_Val,loss=supervised_only,modality.use_aux_imu=false,modality.use_joints=false,network=airio_imu_only,train.checkpoint_every_epochs=1,train.epoch=30,train.zupt_weight=0.0
|
| 130 |
+
id: ???
|
| 131 |
+
num: ???
|
| 132 |
+
config_name: train_ssio
|
| 133 |
+
env_set: {}
|
| 134 |
+
env_copy: []
|
| 135 |
+
config:
|
| 136 |
+
override_dirname:
|
| 137 |
+
kv_sep: '='
|
| 138 |
+
item_sep: ','
|
| 139 |
+
exclude_keys: []
|
| 140 |
+
runtime:
|
| 141 |
+
version: 1.3.2
|
| 142 |
+
version_base: '1.3'
|
| 143 |
+
cwd: .
|
| 144 |
+
config_sources:
|
| 145 |
+
- path: hydra.conf
|
| 146 |
+
schema: pkg
|
| 147 |
+
provider: hydra
|
| 148 |
+
- path: ./Config
|
| 149 |
+
schema: file
|
| 150 |
+
provider: main
|
| 151 |
+
- path: ./Config
|
| 152 |
+
schema: file
|
| 153 |
+
provider: hydra.searchpath in main
|
| 154 |
+
- path: ''
|
| 155 |
+
schema: structured
|
| 156 |
+
provider: schema
|
| 157 |
+
output_dir: ./experiments/train_ssio/ANYmal_SSL/20260913_225232
|
| 158 |
+
choices:
|
| 159 |
+
loss: supervised_only
|
| 160 |
+
scheduler: constant
|
| 161 |
+
optimizer: adamw
|
| 162 |
+
network: airio_imu_only
|
| 163 |
+
dataset@test_dataset: ANYmal_Test
|
| 164 |
+
dataset@val_dataset: ANYmal_Val
|
| 165 |
+
dataset@train_dataset: ANYmal_SSL
|
| 166 |
+
hydra/env: default
|
| 167 |
+
hydra/callbacks: null
|
| 168 |
+
hydra/job_logging: default
|
| 169 |
+
hydra/hydra_logging: default
|
| 170 |
+
hydra/hydra_help: default
|
| 171 |
+
hydra/help: default
|
| 172 |
+
hydra/sweeper: basic
|
| 173 |
+
hydra/launcher: basic
|
| 174 |
+
hydra/output: default
|
| 175 |
+
verbose: false
|
grandtour/airio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio_imu_only
|
| 4 |
+
- modality.use_joints=false
|
| 5 |
+
- modality.use_aux_imu=false
|
| 6 |
+
- train.epoch=30
|
| 7 |
+
- train.checkpoint_every_epochs=1
|
| 8 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 9 |
+
- dataset@val_dataset=ANYmal_Val
|
| 10 |
+
- dataset@test_dataset=ANYmal_Test
|
grandtour/airio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e4311c9f609262b6854422142f8f6471b4f1b79f8aa2caf4f129ca41602d502
|
| 3 |
+
size 1355061
|
grandtour/airio_full/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,990 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 8 |
+
_icg:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.1
|
| 13 |
+
gyro_sigma: 0.0316227766
|
| 14 |
+
num_imus: 1
|
| 15 |
+
num_joints: 12
|
| 16 |
+
target_rate: 200.0
|
| 17 |
+
debias: true
|
| 18 |
+
calibrater:
|
| 19 |
+
kind: imu
|
| 20 |
+
gyro_mean_max: 0.005
|
| 21 |
+
gt_source: cpt7_ie
|
| 22 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 23 |
+
_ici:
|
| 24 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 25 |
+
device: ${meta.device}
|
| 26 |
+
dtype: ${meta.dtype}
|
| 27 |
+
acc_sigma: 0.1
|
| 28 |
+
gyro_sigma: 0.0316227766
|
| 29 |
+
num_imus: 1
|
| 30 |
+
num_joints: 12
|
| 31 |
+
target_rate: 200.0
|
| 32 |
+
debias: true
|
| 33 |
+
calibrater:
|
| 34 |
+
kind: imu
|
| 35 |
+
gyro_mean_max: 0.005
|
| 36 |
+
gt_source: state_estimator
|
| 37 |
+
sequences:
|
| 38 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 39 |
+
config:
|
| 40 |
+
window_size: ${train.window}
|
| 41 |
+
seq:
|
| 42 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 43 |
+
config:
|
| 44 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 45 |
+
device: ${meta.device}
|
| 46 |
+
dtype: ${meta.dtype}
|
| 47 |
+
acc_sigma: 0.1
|
| 48 |
+
gyro_sigma: 0.0316227766
|
| 49 |
+
num_imus: 1
|
| 50 |
+
num_joints: 12
|
| 51 |
+
target_rate: 200.0
|
| 52 |
+
debias: true
|
| 53 |
+
calibrater:
|
| 54 |
+
kind: imu
|
| 55 |
+
gyro_mean_max: 0.005
|
| 56 |
+
gt_source: cpt7_ie
|
| 57 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 58 |
+
seq_name: 2024-11-02-17-10-25
|
| 59 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 60 |
+
config:
|
| 61 |
+
window_size: ${train.window}
|
| 62 |
+
seq:
|
| 63 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 64 |
+
config:
|
| 65 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 66 |
+
device: ${meta.device}
|
| 67 |
+
dtype: ${meta.dtype}
|
| 68 |
+
acc_sigma: 0.1
|
| 69 |
+
gyro_sigma: 0.0316227766
|
| 70 |
+
num_imus: 1
|
| 71 |
+
num_joints: 12
|
| 72 |
+
target_rate: 200.0
|
| 73 |
+
debias: true
|
| 74 |
+
calibrater:
|
| 75 |
+
kind: imu
|
| 76 |
+
gyro_mean_max: 0.005
|
| 77 |
+
gt_source: cpt7_ie
|
| 78 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 79 |
+
seq_name: 2024-11-02-17-18-32
|
| 80 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 81 |
+
config:
|
| 82 |
+
window_size: ${train.window}
|
| 83 |
+
seq:
|
| 84 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 85 |
+
config:
|
| 86 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 87 |
+
device: ${meta.device}
|
| 88 |
+
dtype: ${meta.dtype}
|
| 89 |
+
acc_sigma: 0.1
|
| 90 |
+
gyro_sigma: 0.0316227766
|
| 91 |
+
num_imus: 1
|
| 92 |
+
num_joints: 12
|
| 93 |
+
target_rate: 200.0
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gyro_mean_max: 0.005
|
| 98 |
+
gt_source: cpt7_ie
|
| 99 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 100 |
+
seq_name: 2024-11-04-12-55-59
|
| 101 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 102 |
+
config:
|
| 103 |
+
window_size: ${train.window}
|
| 104 |
+
seq:
|
| 105 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 106 |
+
config:
|
| 107 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 108 |
+
device: ${meta.device}
|
| 109 |
+
dtype: ${meta.dtype}
|
| 110 |
+
acc_sigma: 0.1
|
| 111 |
+
gyro_sigma: 0.0316227766
|
| 112 |
+
num_imus: 1
|
| 113 |
+
num_joints: 12
|
| 114 |
+
target_rate: 200.0
|
| 115 |
+
debias: true
|
| 116 |
+
calibrater:
|
| 117 |
+
kind: imu
|
| 118 |
+
gyro_mean_max: 0.005
|
| 119 |
+
gt_source: cpt7_ie
|
| 120 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 121 |
+
seq_name: 2024-11-11-12-07-40
|
| 122 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 123 |
+
config:
|
| 124 |
+
window_size: ${train.window}
|
| 125 |
+
seq:
|
| 126 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 127 |
+
config:
|
| 128 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 129 |
+
device: ${meta.device}
|
| 130 |
+
dtype: ${meta.dtype}
|
| 131 |
+
acc_sigma: 0.1
|
| 132 |
+
gyro_sigma: 0.0316227766
|
| 133 |
+
num_imus: 1
|
| 134 |
+
num_joints: 12
|
| 135 |
+
target_rate: 200.0
|
| 136 |
+
debias: true
|
| 137 |
+
calibrater:
|
| 138 |
+
kind: imu
|
| 139 |
+
gyro_mean_max: 0.005
|
| 140 |
+
gt_source: cpt7_ie
|
| 141 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 142 |
+
seq_name: 2024-11-14-11-17-02
|
| 143 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 144 |
+
config:
|
| 145 |
+
window_size: ${train.window}
|
| 146 |
+
seq:
|
| 147 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 148 |
+
config:
|
| 149 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 150 |
+
device: ${meta.device}
|
| 151 |
+
dtype: ${meta.dtype}
|
| 152 |
+
acc_sigma: 0.1
|
| 153 |
+
gyro_sigma: 0.0316227766
|
| 154 |
+
num_imus: 1
|
| 155 |
+
num_joints: 12
|
| 156 |
+
target_rate: 200.0
|
| 157 |
+
debias: true
|
| 158 |
+
calibrater:
|
| 159 |
+
kind: imu
|
| 160 |
+
gyro_mean_max: 0.005
|
| 161 |
+
gt_source: cpt7_ie
|
| 162 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 163 |
+
seq_name: 2024-11-14-15-22-43
|
| 164 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 165 |
+
config:
|
| 166 |
+
window_size: ${train.window}
|
| 167 |
+
seq:
|
| 168 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 169 |
+
config:
|
| 170 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 171 |
+
device: ${meta.device}
|
| 172 |
+
dtype: ${meta.dtype}
|
| 173 |
+
acc_sigma: 0.1
|
| 174 |
+
gyro_sigma: 0.0316227766
|
| 175 |
+
num_imus: 1
|
| 176 |
+
num_joints: 12
|
| 177 |
+
target_rate: 200.0
|
| 178 |
+
debias: true
|
| 179 |
+
calibrater:
|
| 180 |
+
kind: imu
|
| 181 |
+
gyro_mean_max: 0.005
|
| 182 |
+
gt_source: cpt7_ie
|
| 183 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 184 |
+
seq_name: 2024-11-14-16-04-09
|
| 185 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
seq:
|
| 189 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 190 |
+
config:
|
| 191 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 192 |
+
device: ${meta.device}
|
| 193 |
+
dtype: ${meta.dtype}
|
| 194 |
+
acc_sigma: 0.1
|
| 195 |
+
gyro_sigma: 0.0316227766
|
| 196 |
+
num_imus: 1
|
| 197 |
+
num_joints: 12
|
| 198 |
+
target_rate: 200.0
|
| 199 |
+
debias: true
|
| 200 |
+
calibrater:
|
| 201 |
+
kind: imu
|
| 202 |
+
gyro_mean_max: 0.005
|
| 203 |
+
gt_source: cpt7_ie
|
| 204 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 205 |
+
seq_name: 2024-11-15-11-18-14
|
| 206 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 207 |
+
config:
|
| 208 |
+
window_size: ${train.window}
|
| 209 |
+
seq:
|
| 210 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 211 |
+
config:
|
| 212 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 213 |
+
device: ${meta.device}
|
| 214 |
+
dtype: ${meta.dtype}
|
| 215 |
+
acc_sigma: 0.1
|
| 216 |
+
gyro_sigma: 0.0316227766
|
| 217 |
+
num_imus: 1
|
| 218 |
+
num_joints: 12
|
| 219 |
+
target_rate: 200.0
|
| 220 |
+
debias: true
|
| 221 |
+
calibrater:
|
| 222 |
+
kind: imu
|
| 223 |
+
gyro_mean_max: 0.005
|
| 224 |
+
gt_source: cpt7_ie
|
| 225 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 226 |
+
seq_name: 2024-11-15-11-37-15
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.1
|
| 237 |
+
gyro_sigma: 0.0316227766
|
| 238 |
+
num_imus: 1
|
| 239 |
+
num_joints: 12
|
| 240 |
+
target_rate: 200.0
|
| 241 |
+
debias: true
|
| 242 |
+
calibrater:
|
| 243 |
+
kind: imu
|
| 244 |
+
gyro_mean_max: 0.005
|
| 245 |
+
gt_source: cpt7_ie
|
| 246 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 247 |
+
seq_name: 2024-11-15-12-06-03
|
| 248 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 249 |
+
config:
|
| 250 |
+
window_size: ${train.window}
|
| 251 |
+
seq:
|
| 252 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 253 |
+
config:
|
| 254 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 255 |
+
device: ${meta.device}
|
| 256 |
+
dtype: ${meta.dtype}
|
| 257 |
+
acc_sigma: 0.1
|
| 258 |
+
gyro_sigma: 0.0316227766
|
| 259 |
+
num_imus: 1
|
| 260 |
+
num_joints: 12
|
| 261 |
+
target_rate: 200.0
|
| 262 |
+
debias: true
|
| 263 |
+
calibrater:
|
| 264 |
+
kind: imu
|
| 265 |
+
gyro_mean_max: 0.005
|
| 266 |
+
gt_source: cpt7_ie
|
| 267 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 268 |
+
seq_name: 2024-11-15-14-14-12
|
| 269 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 270 |
+
config:
|
| 271 |
+
window_size: ${train.window}
|
| 272 |
+
seq:
|
| 273 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 274 |
+
config:
|
| 275 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 276 |
+
device: ${meta.device}
|
| 277 |
+
dtype: ${meta.dtype}
|
| 278 |
+
acc_sigma: 0.1
|
| 279 |
+
gyro_sigma: 0.0316227766
|
| 280 |
+
num_imus: 1
|
| 281 |
+
num_joints: 12
|
| 282 |
+
target_rate: 200.0
|
| 283 |
+
debias: true
|
| 284 |
+
calibrater:
|
| 285 |
+
kind: imu
|
| 286 |
+
gyro_mean_max: 0.005
|
| 287 |
+
gt_source: cpt7_ie
|
| 288 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 289 |
+
seq_name: 2024-11-15-14-43-52
|
| 290 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 291 |
+
config:
|
| 292 |
+
window_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.1
|
| 300 |
+
gyro_sigma: 0.0316227766
|
| 301 |
+
num_imus: 1
|
| 302 |
+
num_joints: 12
|
| 303 |
+
target_rate: 200.0
|
| 304 |
+
debias: true
|
| 305 |
+
calibrater:
|
| 306 |
+
kind: imu
|
| 307 |
+
gyro_mean_max: 0.005
|
| 308 |
+
gt_source: cpt7_ie
|
| 309 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 310 |
+
seq_name: 2024-11-18-13-22-14
|
| 311 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 312 |
+
config:
|
| 313 |
+
window_size: ${train.window}
|
| 314 |
+
seq:
|
| 315 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 316 |
+
config:
|
| 317 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 318 |
+
device: ${meta.device}
|
| 319 |
+
dtype: ${meta.dtype}
|
| 320 |
+
acc_sigma: 0.1
|
| 321 |
+
gyro_sigma: 0.0316227766
|
| 322 |
+
num_imus: 1
|
| 323 |
+
num_joints: 12
|
| 324 |
+
target_rate: 200.0
|
| 325 |
+
debias: true
|
| 326 |
+
calibrater:
|
| 327 |
+
kind: imu
|
| 328 |
+
gyro_mean_max: 0.005
|
| 329 |
+
gt_source: cpt7_ie
|
| 330 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 331 |
+
seq_name: 2024-11-18-13-48-19
|
| 332 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 333 |
+
config:
|
| 334 |
+
window_size: ${train.window}
|
| 335 |
+
seq:
|
| 336 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 337 |
+
config:
|
| 338 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 339 |
+
device: ${meta.device}
|
| 340 |
+
dtype: ${meta.dtype}
|
| 341 |
+
acc_sigma: 0.1
|
| 342 |
+
gyro_sigma: 0.0316227766
|
| 343 |
+
num_imus: 1
|
| 344 |
+
num_joints: 12
|
| 345 |
+
target_rate: 200.0
|
| 346 |
+
debias: true
|
| 347 |
+
calibrater:
|
| 348 |
+
kind: imu
|
| 349 |
+
gyro_mean_max: 0.005
|
| 350 |
+
gt_source: cpt7_ie
|
| 351 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 352 |
+
seq_name: 2024-11-18-15-46-05
|
| 353 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 354 |
+
config:
|
| 355 |
+
window_size: ${train.window}
|
| 356 |
+
seq:
|
| 357 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 358 |
+
config:
|
| 359 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 360 |
+
device: ${meta.device}
|
| 361 |
+
dtype: ${meta.dtype}
|
| 362 |
+
acc_sigma: 0.1
|
| 363 |
+
gyro_sigma: 0.0316227766
|
| 364 |
+
num_imus: 1
|
| 365 |
+
num_joints: 12
|
| 366 |
+
target_rate: 200.0
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
gyro_mean_max: 0.005
|
| 371 |
+
gt_source: cpt7_ie
|
| 372 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 373 |
+
seq_name: 2024-11-18-16-59-23
|
| 374 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 375 |
+
config:
|
| 376 |
+
window_size: ${train.window}
|
| 377 |
+
seq:
|
| 378 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 379 |
+
config:
|
| 380 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 381 |
+
device: ${meta.device}
|
| 382 |
+
dtype: ${meta.dtype}
|
| 383 |
+
acc_sigma: 0.1
|
| 384 |
+
gyro_sigma: 0.0316227766
|
| 385 |
+
num_imus: 1
|
| 386 |
+
num_joints: 12
|
| 387 |
+
target_rate: 200.0
|
| 388 |
+
debias: true
|
| 389 |
+
calibrater:
|
| 390 |
+
kind: imu
|
| 391 |
+
gyro_mean_max: 0.005
|
| 392 |
+
gt_source: cpt7_ie
|
| 393 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 394 |
+
seq_name: 2024-12-03-13-15-38
|
| 395 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 396 |
+
config:
|
| 397 |
+
window_size: ${train.window}
|
| 398 |
+
seq:
|
| 399 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 400 |
+
config:
|
| 401 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 402 |
+
device: ${meta.device}
|
| 403 |
+
dtype: ${meta.dtype}
|
| 404 |
+
acc_sigma: 0.1
|
| 405 |
+
gyro_sigma: 0.0316227766
|
| 406 |
+
num_imus: 1
|
| 407 |
+
num_joints: 12
|
| 408 |
+
target_rate: 200.0
|
| 409 |
+
debias: true
|
| 410 |
+
calibrater:
|
| 411 |
+
kind: imu
|
| 412 |
+
gyro_mean_max: 0.005
|
| 413 |
+
gt_source: cpt7_ie
|
| 414 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 415 |
+
seq_name: 2024-12-03-13-26-40
|
| 416 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 417 |
+
config:
|
| 418 |
+
window_size: ${train.window}
|
| 419 |
+
seq:
|
| 420 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 421 |
+
config:
|
| 422 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 423 |
+
device: ${meta.device}
|
| 424 |
+
dtype: ${meta.dtype}
|
| 425 |
+
acc_sigma: 0.1
|
| 426 |
+
gyro_sigma: 0.0316227766
|
| 427 |
+
num_imus: 1
|
| 428 |
+
num_joints: 12
|
| 429 |
+
target_rate: 200.0
|
| 430 |
+
debias: true
|
| 431 |
+
calibrater:
|
| 432 |
+
kind: imu
|
| 433 |
+
gyro_mean_max: 0.005
|
| 434 |
+
gt_source: cpt7_ie
|
| 435 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 436 |
+
seq_name: 2024-11-25-14-57-08
|
| 437 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 438 |
+
config:
|
| 439 |
+
window_size: ${train.window}
|
| 440 |
+
seq:
|
| 441 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 442 |
+
config:
|
| 443 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 444 |
+
device: ${meta.device}
|
| 445 |
+
dtype: ${meta.dtype}
|
| 446 |
+
acc_sigma: 0.1
|
| 447 |
+
gyro_sigma: 0.0316227766
|
| 448 |
+
num_imus: 1
|
| 449 |
+
num_joints: 12
|
| 450 |
+
target_rate: 200.0
|
| 451 |
+
debias: true
|
| 452 |
+
calibrater:
|
| 453 |
+
kind: imu
|
| 454 |
+
gyro_mean_max: 0.005
|
| 455 |
+
gt_source: cpt7_ie
|
| 456 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 457 |
+
seq_name: 2024-11-25-16-36-19
|
| 458 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 459 |
+
config:
|
| 460 |
+
window_size: ${train.window}
|
| 461 |
+
seq:
|
| 462 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 463 |
+
config:
|
| 464 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 465 |
+
device: ${meta.device}
|
| 466 |
+
dtype: ${meta.dtype}
|
| 467 |
+
acc_sigma: 0.1
|
| 468 |
+
gyro_sigma: 0.0316227766
|
| 469 |
+
num_imus: 1
|
| 470 |
+
num_joints: 12
|
| 471 |
+
target_rate: 200.0
|
| 472 |
+
debias: true
|
| 473 |
+
calibrater:
|
| 474 |
+
kind: imu
|
| 475 |
+
gyro_mean_max: 0.005
|
| 476 |
+
gt_source: state_estimator
|
| 477 |
+
seq_name: 2024-10-01-11-47-44
|
| 478 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 479 |
+
config:
|
| 480 |
+
window_size: ${train.window}
|
| 481 |
+
seq:
|
| 482 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 483 |
+
config:
|
| 484 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 485 |
+
device: ${meta.device}
|
| 486 |
+
dtype: ${meta.dtype}
|
| 487 |
+
acc_sigma: 0.1
|
| 488 |
+
gyro_sigma: 0.0316227766
|
| 489 |
+
num_imus: 1
|
| 490 |
+
num_joints: 12
|
| 491 |
+
target_rate: 200.0
|
| 492 |
+
debias: true
|
| 493 |
+
calibrater:
|
| 494 |
+
kind: imu
|
| 495 |
+
gyro_mean_max: 0.005
|
| 496 |
+
gt_source: state_estimator
|
| 497 |
+
seq_name: 2024-11-11-16-14-23
|
| 498 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 499 |
+
config:
|
| 500 |
+
window_size: ${train.window}
|
| 501 |
+
seq:
|
| 502 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 503 |
+
config:
|
| 504 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 505 |
+
device: ${meta.device}
|
| 506 |
+
dtype: ${meta.dtype}
|
| 507 |
+
acc_sigma: 0.1
|
| 508 |
+
gyro_sigma: 0.0316227766
|
| 509 |
+
num_imus: 1
|
| 510 |
+
num_joints: 12
|
| 511 |
+
target_rate: 200.0
|
| 512 |
+
debias: true
|
| 513 |
+
calibrater:
|
| 514 |
+
kind: imu
|
| 515 |
+
gyro_mean_max: 0.005
|
| 516 |
+
gt_source: state_estimator
|
| 517 |
+
seq_name: 2024-11-18-17-13-09
|
| 518 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 519 |
+
config:
|
| 520 |
+
window_size: ${train.window}
|
| 521 |
+
seq:
|
| 522 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 523 |
+
config:
|
| 524 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 525 |
+
device: ${meta.device}
|
| 526 |
+
dtype: ${meta.dtype}
|
| 527 |
+
acc_sigma: 0.1
|
| 528 |
+
gyro_sigma: 0.0316227766
|
| 529 |
+
num_imus: 1
|
| 530 |
+
num_joints: 12
|
| 531 |
+
target_rate: 200.0
|
| 532 |
+
debias: true
|
| 533 |
+
calibrater:
|
| 534 |
+
kind: imu
|
| 535 |
+
gyro_mean_max: 0.005
|
| 536 |
+
gt_source: state_estimator
|
| 537 |
+
seq_name: 2024-11-18-17-31-36
|
| 538 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 539 |
+
config:
|
| 540 |
+
window_size: ${train.window}
|
| 541 |
+
seq:
|
| 542 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 543 |
+
config:
|
| 544 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 545 |
+
device: ${meta.device}
|
| 546 |
+
dtype: ${meta.dtype}
|
| 547 |
+
acc_sigma: 0.1
|
| 548 |
+
gyro_sigma: 0.0316227766
|
| 549 |
+
num_imus: 1
|
| 550 |
+
num_joints: 12
|
| 551 |
+
target_rate: 200.0
|
| 552 |
+
debias: true
|
| 553 |
+
calibrater:
|
| 554 |
+
kind: imu
|
| 555 |
+
gyro_mean_max: 0.005
|
| 556 |
+
gt_source: state_estimator
|
| 557 |
+
seq_name: 2024-12-09-09-34-43
|
| 558 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 559 |
+
config:
|
| 560 |
+
window_size: ${train.window}
|
| 561 |
+
seq:
|
| 562 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 563 |
+
config:
|
| 564 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 565 |
+
device: ${meta.device}
|
| 566 |
+
dtype: ${meta.dtype}
|
| 567 |
+
acc_sigma: 0.1
|
| 568 |
+
gyro_sigma: 0.0316227766
|
| 569 |
+
num_imus: 1
|
| 570 |
+
num_joints: 12
|
| 571 |
+
target_rate: 200.0
|
| 572 |
+
debias: true
|
| 573 |
+
calibrater:
|
| 574 |
+
kind: imu
|
| 575 |
+
gyro_mean_max: 0.005
|
| 576 |
+
gt_source: state_estimator
|
| 577 |
+
seq_name: 2024-12-09-09-41-46
|
| 578 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 579 |
+
config:
|
| 580 |
+
window_size: ${train.window}
|
| 581 |
+
seq:
|
| 582 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 583 |
+
config:
|
| 584 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 585 |
+
device: ${meta.device}
|
| 586 |
+
dtype: ${meta.dtype}
|
| 587 |
+
acc_sigma: 0.1
|
| 588 |
+
gyro_sigma: 0.0316227766
|
| 589 |
+
num_imus: 1
|
| 590 |
+
num_joints: 12
|
| 591 |
+
target_rate: 200.0
|
| 592 |
+
debias: true
|
| 593 |
+
calibrater:
|
| 594 |
+
kind: imu
|
| 595 |
+
gyro_mean_max: 0.005
|
| 596 |
+
gt_source: state_estimator
|
| 597 |
+
seq_name: 2024-12-09-11-28-28
|
| 598 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 599 |
+
config:
|
| 600 |
+
window_size: ${train.window}
|
| 601 |
+
seq:
|
| 602 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 603 |
+
config:
|
| 604 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 605 |
+
device: ${meta.device}
|
| 606 |
+
dtype: ${meta.dtype}
|
| 607 |
+
acc_sigma: 0.1
|
| 608 |
+
gyro_sigma: 0.0316227766
|
| 609 |
+
num_imus: 1
|
| 610 |
+
num_joints: 12
|
| 611 |
+
target_rate: 200.0
|
| 612 |
+
debias: true
|
| 613 |
+
calibrater:
|
| 614 |
+
kind: imu
|
| 615 |
+
gyro_mean_max: 0.005
|
| 616 |
+
gt_source: state_estimator
|
| 617 |
+
seq_name: 2024-12-09-11-53-11
|
| 618 |
+
val_dataset:
|
| 619 |
+
_outer:
|
| 620 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 621 |
+
config:
|
| 622 |
+
window_size: ${train.window}
|
| 623 |
+
step_size: ${train.window}
|
| 624 |
+
_inner:
|
| 625 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 626 |
+
_icg:
|
| 627 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 628 |
+
device: ${meta.device}
|
| 629 |
+
dtype: ${meta.dtype}
|
| 630 |
+
acc_sigma: 0.1
|
| 631 |
+
gyro_sigma: 0.0316227766
|
| 632 |
+
num_imus: 1
|
| 633 |
+
num_joints: 12
|
| 634 |
+
target_rate: 200.0
|
| 635 |
+
debias: true
|
| 636 |
+
calibrater:
|
| 637 |
+
kind: imu
|
| 638 |
+
gyro_mean_max: 0.005
|
| 639 |
+
gt_source: cpt7_ie
|
| 640 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 641 |
+
sequences:
|
| 642 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 643 |
+
config:
|
| 644 |
+
window_size: ${train.window}
|
| 645 |
+
step_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.1
|
| 653 |
+
gyro_sigma: 0.0316227766
|
| 654 |
+
num_imus: 1
|
| 655 |
+
num_joints: 12
|
| 656 |
+
target_rate: 200.0
|
| 657 |
+
debias: true
|
| 658 |
+
calibrater:
|
| 659 |
+
kind: imu
|
| 660 |
+
gyro_mean_max: 0.005
|
| 661 |
+
gt_source: cpt7_ie
|
| 662 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 663 |
+
seq_name: 2024-11-15-10-16-35
|
| 664 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 665 |
+
config:
|
| 666 |
+
window_size: ${train.window}
|
| 667 |
+
step_size: ${train.window}
|
| 668 |
+
seq:
|
| 669 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 670 |
+
config:
|
| 671 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 672 |
+
device: ${meta.device}
|
| 673 |
+
dtype: ${meta.dtype}
|
| 674 |
+
acc_sigma: 0.1
|
| 675 |
+
gyro_sigma: 0.0316227766
|
| 676 |
+
num_imus: 1
|
| 677 |
+
num_joints: 12
|
| 678 |
+
target_rate: 200.0
|
| 679 |
+
debias: true
|
| 680 |
+
calibrater:
|
| 681 |
+
kind: imu
|
| 682 |
+
gyro_mean_max: 0.005
|
| 683 |
+
gt_source: cpt7_ie
|
| 684 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 685 |
+
seq_name: 2024-11-15-16-41-14
|
| 686 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 687 |
+
config:
|
| 688 |
+
window_size: ${train.window}
|
| 689 |
+
step_size: ${train.window}
|
| 690 |
+
seq:
|
| 691 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 692 |
+
config:
|
| 693 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 694 |
+
device: ${meta.device}
|
| 695 |
+
dtype: ${meta.dtype}
|
| 696 |
+
acc_sigma: 0.1
|
| 697 |
+
gyro_sigma: 0.0316227766
|
| 698 |
+
num_imus: 1
|
| 699 |
+
num_joints: 12
|
| 700 |
+
target_rate: 200.0
|
| 701 |
+
debias: true
|
| 702 |
+
calibrater:
|
| 703 |
+
kind: imu
|
| 704 |
+
gyro_mean_max: 0.005
|
| 705 |
+
gt_source: cpt7_ie
|
| 706 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 707 |
+
seq_name: 2024-11-11-12-42-47
|
| 708 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 709 |
+
config:
|
| 710 |
+
window_size: ${train.window}
|
| 711 |
+
step_size: ${train.window}
|
| 712 |
+
seq:
|
| 713 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 714 |
+
config:
|
| 715 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 716 |
+
device: ${meta.device}
|
| 717 |
+
dtype: ${meta.dtype}
|
| 718 |
+
acc_sigma: 0.1
|
| 719 |
+
gyro_sigma: 0.0316227766
|
| 720 |
+
num_imus: 1
|
| 721 |
+
num_joints: 12
|
| 722 |
+
target_rate: 200.0
|
| 723 |
+
debias: true
|
| 724 |
+
calibrater:
|
| 725 |
+
kind: imu
|
| 726 |
+
gyro_mean_max: 0.005
|
| 727 |
+
gt_source: cpt7_ie
|
| 728 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 729 |
+
seq_name: 2024-11-03-07-52-45
|
| 730 |
+
test_dataset:
|
| 731 |
+
_outer:
|
| 732 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 733 |
+
config:
|
| 734 |
+
window_size: ${train.window}
|
| 735 |
+
step_size: ${train.window}
|
| 736 |
+
_inner:
|
| 737 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 738 |
+
_icg:
|
| 739 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 740 |
+
device: ${meta.device}
|
| 741 |
+
dtype: ${meta.dtype}
|
| 742 |
+
acc_sigma: 0.1
|
| 743 |
+
gyro_sigma: 0.0316227766
|
| 744 |
+
num_imus: 1
|
| 745 |
+
num_joints: 12
|
| 746 |
+
target_rate: 200.0
|
| 747 |
+
debias: true
|
| 748 |
+
calibrater:
|
| 749 |
+
kind: imu
|
| 750 |
+
gyro_mean_max: 0.005
|
| 751 |
+
gt_source: cpt7_ie
|
| 752 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 753 |
+
sequences:
|
| 754 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 755 |
+
config:
|
| 756 |
+
window_size: ${train.window}
|
| 757 |
+
step_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.1
|
| 765 |
+
gyro_sigma: 0.0316227766
|
| 766 |
+
num_imus: 1
|
| 767 |
+
num_joints: 12
|
| 768 |
+
target_rate: 200.0
|
| 769 |
+
debias: true
|
| 770 |
+
calibrater:
|
| 771 |
+
kind: imu
|
| 772 |
+
gyro_mean_max: 0.005
|
| 773 |
+
gt_source: cpt7_ie
|
| 774 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 775 |
+
seq_name: 2024-10-01-11-29-55
|
| 776 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 777 |
+
config:
|
| 778 |
+
window_size: ${train.window}
|
| 779 |
+
step_size: ${train.window}
|
| 780 |
+
seq:
|
| 781 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 782 |
+
config:
|
| 783 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 784 |
+
device: ${meta.device}
|
| 785 |
+
dtype: ${meta.dtype}
|
| 786 |
+
acc_sigma: 0.1
|
| 787 |
+
gyro_sigma: 0.0316227766
|
| 788 |
+
num_imus: 1
|
| 789 |
+
num_joints: 12
|
| 790 |
+
target_rate: 200.0
|
| 791 |
+
debias: true
|
| 792 |
+
calibrater:
|
| 793 |
+
kind: imu
|
| 794 |
+
gyro_mean_max: 0.005
|
| 795 |
+
gt_source: cpt7_ie
|
| 796 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 797 |
+
seq_name: 2024-10-01-12-00-49
|
| 798 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 799 |
+
config:
|
| 800 |
+
window_size: ${train.window}
|
| 801 |
+
step_size: ${train.window}
|
| 802 |
+
seq:
|
| 803 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 804 |
+
config:
|
| 805 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 806 |
+
device: ${meta.device}
|
| 807 |
+
dtype: ${meta.dtype}
|
| 808 |
+
acc_sigma: 0.1
|
| 809 |
+
gyro_sigma: 0.0316227766
|
| 810 |
+
num_imus: 1
|
| 811 |
+
num_joints: 12
|
| 812 |
+
target_rate: 200.0
|
| 813 |
+
debias: true
|
| 814 |
+
calibrater:
|
| 815 |
+
kind: imu
|
| 816 |
+
gyro_mean_max: 0.005
|
| 817 |
+
gt_source: cpt7_ie
|
| 818 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 819 |
+
seq_name: 2024-11-04-10-57-34
|
| 820 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 821 |
+
config:
|
| 822 |
+
window_size: ${train.window}
|
| 823 |
+
step_size: ${train.window}
|
| 824 |
+
seq:
|
| 825 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 826 |
+
config:
|
| 827 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 828 |
+
device: ${meta.device}
|
| 829 |
+
dtype: ${meta.dtype}
|
| 830 |
+
acc_sigma: 0.1
|
| 831 |
+
gyro_sigma: 0.0316227766
|
| 832 |
+
num_imus: 1
|
| 833 |
+
num_joints: 12
|
| 834 |
+
target_rate: 200.0
|
| 835 |
+
debias: true
|
| 836 |
+
calibrater:
|
| 837 |
+
kind: imu
|
| 838 |
+
gyro_mean_max: 0.005
|
| 839 |
+
gt_source: cpt7_ie
|
| 840 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 841 |
+
seq_name: 2024-11-03-13-51-43
|
| 842 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 843 |
+
config:
|
| 844 |
+
window_size: ${train.window}
|
| 845 |
+
step_size: ${train.window}
|
| 846 |
+
seq:
|
| 847 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 848 |
+
config:
|
| 849 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 850 |
+
device: ${meta.device}
|
| 851 |
+
dtype: ${meta.dtype}
|
| 852 |
+
acc_sigma: 0.1
|
| 853 |
+
gyro_sigma: 0.0316227766
|
| 854 |
+
num_imus: 1
|
| 855 |
+
num_joints: 12
|
| 856 |
+
target_rate: 200.0
|
| 857 |
+
debias: true
|
| 858 |
+
calibrater:
|
| 859 |
+
kind: imu
|
| 860 |
+
gyro_mean_max: 0.005
|
| 861 |
+
gt_source: cpt7_ie
|
| 862 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 863 |
+
seq_name: 2024-11-14-13-45-37
|
| 864 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 865 |
+
config:
|
| 866 |
+
window_size: ${train.window}
|
| 867 |
+
step_size: ${train.window}
|
| 868 |
+
seq:
|
| 869 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 870 |
+
config:
|
| 871 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 872 |
+
device: ${meta.device}
|
| 873 |
+
dtype: ${meta.dtype}
|
| 874 |
+
acc_sigma: 0.1
|
| 875 |
+
gyro_sigma: 0.0316227766
|
| 876 |
+
num_imus: 1
|
| 877 |
+
num_joints: 12
|
| 878 |
+
target_rate: 200.0
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
gyro_mean_max: 0.005
|
| 883 |
+
gt_source: cpt7_ie
|
| 884 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 885 |
+
seq_name: 2024-11-02-21-12-51
|
| 886 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 887 |
+
config:
|
| 888 |
+
window_size: ${train.window}
|
| 889 |
+
step_size: ${train.window}
|
| 890 |
+
seq:
|
| 891 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 892 |
+
config:
|
| 893 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 894 |
+
device: ${meta.device}
|
| 895 |
+
dtype: ${meta.dtype}
|
| 896 |
+
acc_sigma: 0.1
|
| 897 |
+
gyro_sigma: 0.0316227766
|
| 898 |
+
num_imus: 1
|
| 899 |
+
num_joints: 12
|
| 900 |
+
target_rate: 200.0
|
| 901 |
+
debias: true
|
| 902 |
+
calibrater:
|
| 903 |
+
kind: imu
|
| 904 |
+
gyro_mean_max: 0.005
|
| 905 |
+
gt_source: cpt7_ie
|
| 906 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 907 |
+
seq_name: 2024-11-03-07-57-34
|
| 908 |
+
network:
|
| 909 |
+
_target_: Model.airio.AirIONetwork
|
| 910 |
+
k_list:
|
| 911 |
+
- 7
|
| 912 |
+
- 7
|
| 913 |
+
s_list:
|
| 914 |
+
- 3
|
| 915 |
+
- 3
|
| 916 |
+
p_list:
|
| 917 |
+
- 3
|
| 918 |
+
- 3
|
| 919 |
+
imu_encoder_channels:
|
| 920 |
+
- 32
|
| 921 |
+
- 64
|
| 922 |
+
ori_encoder_channels:
|
| 923 |
+
- 32
|
| 924 |
+
- 64
|
| 925 |
+
fusion_dim: 64
|
| 926 |
+
gru1_hidden: 64
|
| 927 |
+
gru2_hidden: 128
|
| 928 |
+
decoder_hidden: 128
|
| 929 |
+
bidirectional: true
|
| 930 |
+
num_imus: 1
|
| 931 |
+
imu_input: raw
|
| 932 |
+
optimizer:
|
| 933 |
+
_target_: torch.optim.AdamW
|
| 934 |
+
lr: ${train.lr}
|
| 935 |
+
weight_decay: ${train.decay}
|
| 936 |
+
fused: true
|
| 937 |
+
scheduler:
|
| 938 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 939 |
+
factor: 1.0
|
| 940 |
+
total_iters: 0
|
| 941 |
+
loss:
|
| 942 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 943 |
+
base_weight: 0.0
|
| 944 |
+
anchor_weight: 100.0
|
| 945 |
+
anchor_loss: Huber
|
| 946 |
+
huber_delta: 0.005
|
| 947 |
+
cov_anchor_weight: 0.01
|
| 948 |
+
covaug: true
|
| 949 |
+
cov_floor: 1.0e-06
|
| 950 |
+
base:
|
| 951 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 952 |
+
dv:
|
| 953 |
+
- - 1
|
| 954 |
+
- 1.0
|
| 955 |
+
modality:
|
| 956 |
+
use_aux_imu: false
|
| 957 |
+
use_joints: false
|
| 958 |
+
train:
|
| 959 |
+
lr: 0.001
|
| 960 |
+
decay: 0.001
|
| 961 |
+
batch: 512
|
| 962 |
+
labeled_ratio: 0.5
|
| 963 |
+
num_workers: 0
|
| 964 |
+
data_ratio: 1.0
|
| 965 |
+
epoch: 30
|
| 966 |
+
window: 1024
|
| 967 |
+
ema: true
|
| 968 |
+
freeze_bn: false
|
| 969 |
+
gravity: 9.81007
|
| 970 |
+
checkpoint_every_epochs: 1
|
| 971 |
+
plot_every_epochs: 10
|
| 972 |
+
test_every_epochs: 1
|
| 973 |
+
max_train_steps: null
|
| 974 |
+
zupt_weight: 0.0
|
| 975 |
+
zupt_gate: all
|
| 976 |
+
zupt_speed_max: 0.02
|
| 977 |
+
zupt_sched_enable: false
|
| 978 |
+
zupt_sched_start: null
|
| 979 |
+
zupt_sched_end: null
|
| 980 |
+
dv_imu_input: corrected
|
| 981 |
+
acc_noise_std: 0.0
|
| 982 |
+
gyro_noise_std: 0.0
|
| 983 |
+
resume_from: null
|
| 984 |
+
meta:
|
| 985 |
+
device: ${as_device:'cuda:0'}
|
| 986 |
+
dtype: ${as_dtype:'fp32'}
|
| 987 |
+
wandb:
|
| 988 |
+
project: SSIO
|
| 989 |
+
mode: online
|
| 990 |
+
name: null
|
grandtour/airio_full/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio
|
| 119 |
+
- modality.use_joints=false
|
| 120 |
+
- modality.use_aux_imu=false
|
| 121 |
+
- train.epoch=30
|
| 122 |
+
- train.checkpoint_every_epochs=1
|
| 123 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 124 |
+
- dataset@val_dataset=ANYmal_Val
|
| 125 |
+
- dataset@test_dataset=ANYmal_Test
|
| 126 |
+
job:
|
| 127 |
+
name: train_step1_ssio
|
| 128 |
+
chdir: false
|
| 129 |
+
override_dirname: dataset@test_dataset=ANYmal_Test,dataset@train_dataset=ANYmal_SSL,dataset@val_dataset=ANYmal_Val,loss=supervised_only,modality.use_aux_imu=false,modality.use_joints=false,network=airio,train.checkpoint_every_epochs=1,train.epoch=30,train.zupt_weight=0.0
|
| 130 |
+
id: ???
|
| 131 |
+
num: ???
|
| 132 |
+
config_name: train_ssio
|
| 133 |
+
env_set: {}
|
| 134 |
+
env_copy: []
|
| 135 |
+
config:
|
| 136 |
+
override_dirname:
|
| 137 |
+
kv_sep: '='
|
| 138 |
+
item_sep: ','
|
| 139 |
+
exclude_keys: []
|
| 140 |
+
runtime:
|
| 141 |
+
version: 1.3.2
|
| 142 |
+
version_base: '1.3'
|
| 143 |
+
cwd: .
|
| 144 |
+
config_sources:
|
| 145 |
+
- path: hydra.conf
|
| 146 |
+
schema: pkg
|
| 147 |
+
provider: hydra
|
| 148 |
+
- path: ./Config
|
| 149 |
+
schema: file
|
| 150 |
+
provider: main
|
| 151 |
+
- path: ./Config
|
| 152 |
+
schema: file
|
| 153 |
+
provider: hydra.searchpath in main
|
| 154 |
+
- path: ''
|
| 155 |
+
schema: structured
|
| 156 |
+
provider: schema
|
| 157 |
+
output_dir: ./experiments/train_ssio/ANYmal_SSL/20260913_224936
|
| 158 |
+
choices:
|
| 159 |
+
loss: supervised_only
|
| 160 |
+
scheduler: constant
|
| 161 |
+
optimizer: adamw
|
| 162 |
+
network: airio
|
| 163 |
+
dataset@test_dataset: ANYmal_Test
|
| 164 |
+
dataset@val_dataset: ANYmal_Val
|
| 165 |
+
dataset@train_dataset: ANYmal_SSL
|
| 166 |
+
hydra/env: default
|
| 167 |
+
hydra/callbacks: null
|
| 168 |
+
hydra/job_logging: default
|
| 169 |
+
hydra/hydra_logging: default
|
| 170 |
+
hydra/hydra_help: default
|
| 171 |
+
hydra/help: default
|
| 172 |
+
hydra/sweeper: basic
|
| 173 |
+
hydra/launcher: basic
|
| 174 |
+
hydra/output: default
|
| 175 |
+
verbose: false
|
grandtour/airio_full/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio
|
| 4 |
+
- modality.use_joints=false
|
| 5 |
+
- modality.use_aux_imu=false
|
| 6 |
+
- train.epoch=30
|
| 7 |
+
- train.checkpoint_every_epochs=1
|
| 8 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 9 |
+
- dataset@val_dataset=ANYmal_Val
|
| 10 |
+
- dataset@test_dataset=ANYmal_Test
|
grandtour/airio_full/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6346c8c8e946915712fba888f57eb47546cd28ebcaa36372a96ee5e76c1a4558
|
| 3 |
+
size 1438197
|
grandtour/airio_proprio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,996 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
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|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 8 |
+
_icg:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.1
|
| 13 |
+
gyro_sigma: 0.0316227766
|
| 14 |
+
num_imus: 1
|
| 15 |
+
num_joints: 12
|
| 16 |
+
target_rate: 200.0
|
| 17 |
+
debias: true
|
| 18 |
+
calibrater:
|
| 19 |
+
kind: imu
|
| 20 |
+
gyro_mean_max: 0.005
|
| 21 |
+
gt_source: cpt7_ie
|
| 22 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 23 |
+
_ici:
|
| 24 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 25 |
+
device: ${meta.device}
|
| 26 |
+
dtype: ${meta.dtype}
|
| 27 |
+
acc_sigma: 0.1
|
| 28 |
+
gyro_sigma: 0.0316227766
|
| 29 |
+
num_imus: 1
|
| 30 |
+
num_joints: 12
|
| 31 |
+
target_rate: 200.0
|
| 32 |
+
debias: true
|
| 33 |
+
calibrater:
|
| 34 |
+
kind: imu
|
| 35 |
+
gyro_mean_max: 0.005
|
| 36 |
+
gt_source: state_estimator
|
| 37 |
+
sequences:
|
| 38 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 39 |
+
config:
|
| 40 |
+
window_size: ${train.window}
|
| 41 |
+
seq:
|
| 42 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 43 |
+
config:
|
| 44 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 45 |
+
device: ${meta.device}
|
| 46 |
+
dtype: ${meta.dtype}
|
| 47 |
+
acc_sigma: 0.1
|
| 48 |
+
gyro_sigma: 0.0316227766
|
| 49 |
+
num_imus: 1
|
| 50 |
+
num_joints: 12
|
| 51 |
+
target_rate: 200.0
|
| 52 |
+
debias: true
|
| 53 |
+
calibrater:
|
| 54 |
+
kind: imu
|
| 55 |
+
gyro_mean_max: 0.005
|
| 56 |
+
gt_source: cpt7_ie
|
| 57 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 58 |
+
seq_name: 2024-11-02-17-10-25
|
| 59 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 60 |
+
config:
|
| 61 |
+
window_size: ${train.window}
|
| 62 |
+
seq:
|
| 63 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 64 |
+
config:
|
| 65 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 66 |
+
device: ${meta.device}
|
| 67 |
+
dtype: ${meta.dtype}
|
| 68 |
+
acc_sigma: 0.1
|
| 69 |
+
gyro_sigma: 0.0316227766
|
| 70 |
+
num_imus: 1
|
| 71 |
+
num_joints: 12
|
| 72 |
+
target_rate: 200.0
|
| 73 |
+
debias: true
|
| 74 |
+
calibrater:
|
| 75 |
+
kind: imu
|
| 76 |
+
gyro_mean_max: 0.005
|
| 77 |
+
gt_source: cpt7_ie
|
| 78 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 79 |
+
seq_name: 2024-11-02-17-18-32
|
| 80 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 81 |
+
config:
|
| 82 |
+
window_size: ${train.window}
|
| 83 |
+
seq:
|
| 84 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 85 |
+
config:
|
| 86 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 87 |
+
device: ${meta.device}
|
| 88 |
+
dtype: ${meta.dtype}
|
| 89 |
+
acc_sigma: 0.1
|
| 90 |
+
gyro_sigma: 0.0316227766
|
| 91 |
+
num_imus: 1
|
| 92 |
+
num_joints: 12
|
| 93 |
+
target_rate: 200.0
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gyro_mean_max: 0.005
|
| 98 |
+
gt_source: cpt7_ie
|
| 99 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 100 |
+
seq_name: 2024-11-04-12-55-59
|
| 101 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 102 |
+
config:
|
| 103 |
+
window_size: ${train.window}
|
| 104 |
+
seq:
|
| 105 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 106 |
+
config:
|
| 107 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 108 |
+
device: ${meta.device}
|
| 109 |
+
dtype: ${meta.dtype}
|
| 110 |
+
acc_sigma: 0.1
|
| 111 |
+
gyro_sigma: 0.0316227766
|
| 112 |
+
num_imus: 1
|
| 113 |
+
num_joints: 12
|
| 114 |
+
target_rate: 200.0
|
| 115 |
+
debias: true
|
| 116 |
+
calibrater:
|
| 117 |
+
kind: imu
|
| 118 |
+
gyro_mean_max: 0.005
|
| 119 |
+
gt_source: cpt7_ie
|
| 120 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 121 |
+
seq_name: 2024-11-11-12-07-40
|
| 122 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 123 |
+
config:
|
| 124 |
+
window_size: ${train.window}
|
| 125 |
+
seq:
|
| 126 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 127 |
+
config:
|
| 128 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 129 |
+
device: ${meta.device}
|
| 130 |
+
dtype: ${meta.dtype}
|
| 131 |
+
acc_sigma: 0.1
|
| 132 |
+
gyro_sigma: 0.0316227766
|
| 133 |
+
num_imus: 1
|
| 134 |
+
num_joints: 12
|
| 135 |
+
target_rate: 200.0
|
| 136 |
+
debias: true
|
| 137 |
+
calibrater:
|
| 138 |
+
kind: imu
|
| 139 |
+
gyro_mean_max: 0.005
|
| 140 |
+
gt_source: cpt7_ie
|
| 141 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 142 |
+
seq_name: 2024-11-14-11-17-02
|
| 143 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 144 |
+
config:
|
| 145 |
+
window_size: ${train.window}
|
| 146 |
+
seq:
|
| 147 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 148 |
+
config:
|
| 149 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 150 |
+
device: ${meta.device}
|
| 151 |
+
dtype: ${meta.dtype}
|
| 152 |
+
acc_sigma: 0.1
|
| 153 |
+
gyro_sigma: 0.0316227766
|
| 154 |
+
num_imus: 1
|
| 155 |
+
num_joints: 12
|
| 156 |
+
target_rate: 200.0
|
| 157 |
+
debias: true
|
| 158 |
+
calibrater:
|
| 159 |
+
kind: imu
|
| 160 |
+
gyro_mean_max: 0.005
|
| 161 |
+
gt_source: cpt7_ie
|
| 162 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 163 |
+
seq_name: 2024-11-14-15-22-43
|
| 164 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 165 |
+
config:
|
| 166 |
+
window_size: ${train.window}
|
| 167 |
+
seq:
|
| 168 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 169 |
+
config:
|
| 170 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 171 |
+
device: ${meta.device}
|
| 172 |
+
dtype: ${meta.dtype}
|
| 173 |
+
acc_sigma: 0.1
|
| 174 |
+
gyro_sigma: 0.0316227766
|
| 175 |
+
num_imus: 1
|
| 176 |
+
num_joints: 12
|
| 177 |
+
target_rate: 200.0
|
| 178 |
+
debias: true
|
| 179 |
+
calibrater:
|
| 180 |
+
kind: imu
|
| 181 |
+
gyro_mean_max: 0.005
|
| 182 |
+
gt_source: cpt7_ie
|
| 183 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 184 |
+
seq_name: 2024-11-14-16-04-09
|
| 185 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
seq:
|
| 189 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 190 |
+
config:
|
| 191 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 192 |
+
device: ${meta.device}
|
| 193 |
+
dtype: ${meta.dtype}
|
| 194 |
+
acc_sigma: 0.1
|
| 195 |
+
gyro_sigma: 0.0316227766
|
| 196 |
+
num_imus: 1
|
| 197 |
+
num_joints: 12
|
| 198 |
+
target_rate: 200.0
|
| 199 |
+
debias: true
|
| 200 |
+
calibrater:
|
| 201 |
+
kind: imu
|
| 202 |
+
gyro_mean_max: 0.005
|
| 203 |
+
gt_source: cpt7_ie
|
| 204 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 205 |
+
seq_name: 2024-11-15-11-18-14
|
| 206 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 207 |
+
config:
|
| 208 |
+
window_size: ${train.window}
|
| 209 |
+
seq:
|
| 210 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 211 |
+
config:
|
| 212 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 213 |
+
device: ${meta.device}
|
| 214 |
+
dtype: ${meta.dtype}
|
| 215 |
+
acc_sigma: 0.1
|
| 216 |
+
gyro_sigma: 0.0316227766
|
| 217 |
+
num_imus: 1
|
| 218 |
+
num_joints: 12
|
| 219 |
+
target_rate: 200.0
|
| 220 |
+
debias: true
|
| 221 |
+
calibrater:
|
| 222 |
+
kind: imu
|
| 223 |
+
gyro_mean_max: 0.005
|
| 224 |
+
gt_source: cpt7_ie
|
| 225 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 226 |
+
seq_name: 2024-11-15-11-37-15
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.1
|
| 237 |
+
gyro_sigma: 0.0316227766
|
| 238 |
+
num_imus: 1
|
| 239 |
+
num_joints: 12
|
| 240 |
+
target_rate: 200.0
|
| 241 |
+
debias: true
|
| 242 |
+
calibrater:
|
| 243 |
+
kind: imu
|
| 244 |
+
gyro_mean_max: 0.005
|
| 245 |
+
gt_source: cpt7_ie
|
| 246 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 247 |
+
seq_name: 2024-11-15-12-06-03
|
| 248 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 249 |
+
config:
|
| 250 |
+
window_size: ${train.window}
|
| 251 |
+
seq:
|
| 252 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 253 |
+
config:
|
| 254 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 255 |
+
device: ${meta.device}
|
| 256 |
+
dtype: ${meta.dtype}
|
| 257 |
+
acc_sigma: 0.1
|
| 258 |
+
gyro_sigma: 0.0316227766
|
| 259 |
+
num_imus: 1
|
| 260 |
+
num_joints: 12
|
| 261 |
+
target_rate: 200.0
|
| 262 |
+
debias: true
|
| 263 |
+
calibrater:
|
| 264 |
+
kind: imu
|
| 265 |
+
gyro_mean_max: 0.005
|
| 266 |
+
gt_source: cpt7_ie
|
| 267 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 268 |
+
seq_name: 2024-11-15-14-14-12
|
| 269 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 270 |
+
config:
|
| 271 |
+
window_size: ${train.window}
|
| 272 |
+
seq:
|
| 273 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 274 |
+
config:
|
| 275 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 276 |
+
device: ${meta.device}
|
| 277 |
+
dtype: ${meta.dtype}
|
| 278 |
+
acc_sigma: 0.1
|
| 279 |
+
gyro_sigma: 0.0316227766
|
| 280 |
+
num_imus: 1
|
| 281 |
+
num_joints: 12
|
| 282 |
+
target_rate: 200.0
|
| 283 |
+
debias: true
|
| 284 |
+
calibrater:
|
| 285 |
+
kind: imu
|
| 286 |
+
gyro_mean_max: 0.005
|
| 287 |
+
gt_source: cpt7_ie
|
| 288 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 289 |
+
seq_name: 2024-11-15-14-43-52
|
| 290 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 291 |
+
config:
|
| 292 |
+
window_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.1
|
| 300 |
+
gyro_sigma: 0.0316227766
|
| 301 |
+
num_imus: 1
|
| 302 |
+
num_joints: 12
|
| 303 |
+
target_rate: 200.0
|
| 304 |
+
debias: true
|
| 305 |
+
calibrater:
|
| 306 |
+
kind: imu
|
| 307 |
+
gyro_mean_max: 0.005
|
| 308 |
+
gt_source: cpt7_ie
|
| 309 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 310 |
+
seq_name: 2024-11-18-13-22-14
|
| 311 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 312 |
+
config:
|
| 313 |
+
window_size: ${train.window}
|
| 314 |
+
seq:
|
| 315 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 316 |
+
config:
|
| 317 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 318 |
+
device: ${meta.device}
|
| 319 |
+
dtype: ${meta.dtype}
|
| 320 |
+
acc_sigma: 0.1
|
| 321 |
+
gyro_sigma: 0.0316227766
|
| 322 |
+
num_imus: 1
|
| 323 |
+
num_joints: 12
|
| 324 |
+
target_rate: 200.0
|
| 325 |
+
debias: true
|
| 326 |
+
calibrater:
|
| 327 |
+
kind: imu
|
| 328 |
+
gyro_mean_max: 0.005
|
| 329 |
+
gt_source: cpt7_ie
|
| 330 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 331 |
+
seq_name: 2024-11-18-13-48-19
|
| 332 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 333 |
+
config:
|
| 334 |
+
window_size: ${train.window}
|
| 335 |
+
seq:
|
| 336 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 337 |
+
config:
|
| 338 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 339 |
+
device: ${meta.device}
|
| 340 |
+
dtype: ${meta.dtype}
|
| 341 |
+
acc_sigma: 0.1
|
| 342 |
+
gyro_sigma: 0.0316227766
|
| 343 |
+
num_imus: 1
|
| 344 |
+
num_joints: 12
|
| 345 |
+
target_rate: 200.0
|
| 346 |
+
debias: true
|
| 347 |
+
calibrater:
|
| 348 |
+
kind: imu
|
| 349 |
+
gyro_mean_max: 0.005
|
| 350 |
+
gt_source: cpt7_ie
|
| 351 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 352 |
+
seq_name: 2024-11-18-15-46-05
|
| 353 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 354 |
+
config:
|
| 355 |
+
window_size: ${train.window}
|
| 356 |
+
seq:
|
| 357 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 358 |
+
config:
|
| 359 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 360 |
+
device: ${meta.device}
|
| 361 |
+
dtype: ${meta.dtype}
|
| 362 |
+
acc_sigma: 0.1
|
| 363 |
+
gyro_sigma: 0.0316227766
|
| 364 |
+
num_imus: 1
|
| 365 |
+
num_joints: 12
|
| 366 |
+
target_rate: 200.0
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
gyro_mean_max: 0.005
|
| 371 |
+
gt_source: cpt7_ie
|
| 372 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 373 |
+
seq_name: 2024-11-18-16-59-23
|
| 374 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 375 |
+
config:
|
| 376 |
+
window_size: ${train.window}
|
| 377 |
+
seq:
|
| 378 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 379 |
+
config:
|
| 380 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 381 |
+
device: ${meta.device}
|
| 382 |
+
dtype: ${meta.dtype}
|
| 383 |
+
acc_sigma: 0.1
|
| 384 |
+
gyro_sigma: 0.0316227766
|
| 385 |
+
num_imus: 1
|
| 386 |
+
num_joints: 12
|
| 387 |
+
target_rate: 200.0
|
| 388 |
+
debias: true
|
| 389 |
+
calibrater:
|
| 390 |
+
kind: imu
|
| 391 |
+
gyro_mean_max: 0.005
|
| 392 |
+
gt_source: cpt7_ie
|
| 393 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 394 |
+
seq_name: 2024-12-03-13-15-38
|
| 395 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 396 |
+
config:
|
| 397 |
+
window_size: ${train.window}
|
| 398 |
+
seq:
|
| 399 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 400 |
+
config:
|
| 401 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 402 |
+
device: ${meta.device}
|
| 403 |
+
dtype: ${meta.dtype}
|
| 404 |
+
acc_sigma: 0.1
|
| 405 |
+
gyro_sigma: 0.0316227766
|
| 406 |
+
num_imus: 1
|
| 407 |
+
num_joints: 12
|
| 408 |
+
target_rate: 200.0
|
| 409 |
+
debias: true
|
| 410 |
+
calibrater:
|
| 411 |
+
kind: imu
|
| 412 |
+
gyro_mean_max: 0.005
|
| 413 |
+
gt_source: cpt7_ie
|
| 414 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 415 |
+
seq_name: 2024-12-03-13-26-40
|
| 416 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 417 |
+
config:
|
| 418 |
+
window_size: ${train.window}
|
| 419 |
+
seq:
|
| 420 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 421 |
+
config:
|
| 422 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 423 |
+
device: ${meta.device}
|
| 424 |
+
dtype: ${meta.dtype}
|
| 425 |
+
acc_sigma: 0.1
|
| 426 |
+
gyro_sigma: 0.0316227766
|
| 427 |
+
num_imus: 1
|
| 428 |
+
num_joints: 12
|
| 429 |
+
target_rate: 200.0
|
| 430 |
+
debias: true
|
| 431 |
+
calibrater:
|
| 432 |
+
kind: imu
|
| 433 |
+
gyro_mean_max: 0.005
|
| 434 |
+
gt_source: cpt7_ie
|
| 435 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 436 |
+
seq_name: 2024-11-25-14-57-08
|
| 437 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 438 |
+
config:
|
| 439 |
+
window_size: ${train.window}
|
| 440 |
+
seq:
|
| 441 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 442 |
+
config:
|
| 443 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 444 |
+
device: ${meta.device}
|
| 445 |
+
dtype: ${meta.dtype}
|
| 446 |
+
acc_sigma: 0.1
|
| 447 |
+
gyro_sigma: 0.0316227766
|
| 448 |
+
num_imus: 1
|
| 449 |
+
num_joints: 12
|
| 450 |
+
target_rate: 200.0
|
| 451 |
+
debias: true
|
| 452 |
+
calibrater:
|
| 453 |
+
kind: imu
|
| 454 |
+
gyro_mean_max: 0.005
|
| 455 |
+
gt_source: cpt7_ie
|
| 456 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 457 |
+
seq_name: 2024-11-25-16-36-19
|
| 458 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 459 |
+
config:
|
| 460 |
+
window_size: ${train.window}
|
| 461 |
+
seq:
|
| 462 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 463 |
+
config:
|
| 464 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 465 |
+
device: ${meta.device}
|
| 466 |
+
dtype: ${meta.dtype}
|
| 467 |
+
acc_sigma: 0.1
|
| 468 |
+
gyro_sigma: 0.0316227766
|
| 469 |
+
num_imus: 1
|
| 470 |
+
num_joints: 12
|
| 471 |
+
target_rate: 200.0
|
| 472 |
+
debias: true
|
| 473 |
+
calibrater:
|
| 474 |
+
kind: imu
|
| 475 |
+
gyro_mean_max: 0.005
|
| 476 |
+
gt_source: state_estimator
|
| 477 |
+
seq_name: 2024-10-01-11-47-44
|
| 478 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 479 |
+
config:
|
| 480 |
+
window_size: ${train.window}
|
| 481 |
+
seq:
|
| 482 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 483 |
+
config:
|
| 484 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 485 |
+
device: ${meta.device}
|
| 486 |
+
dtype: ${meta.dtype}
|
| 487 |
+
acc_sigma: 0.1
|
| 488 |
+
gyro_sigma: 0.0316227766
|
| 489 |
+
num_imus: 1
|
| 490 |
+
num_joints: 12
|
| 491 |
+
target_rate: 200.0
|
| 492 |
+
debias: true
|
| 493 |
+
calibrater:
|
| 494 |
+
kind: imu
|
| 495 |
+
gyro_mean_max: 0.005
|
| 496 |
+
gt_source: state_estimator
|
| 497 |
+
seq_name: 2024-11-11-16-14-23
|
| 498 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 499 |
+
config:
|
| 500 |
+
window_size: ${train.window}
|
| 501 |
+
seq:
|
| 502 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 503 |
+
config:
|
| 504 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 505 |
+
device: ${meta.device}
|
| 506 |
+
dtype: ${meta.dtype}
|
| 507 |
+
acc_sigma: 0.1
|
| 508 |
+
gyro_sigma: 0.0316227766
|
| 509 |
+
num_imus: 1
|
| 510 |
+
num_joints: 12
|
| 511 |
+
target_rate: 200.0
|
| 512 |
+
debias: true
|
| 513 |
+
calibrater:
|
| 514 |
+
kind: imu
|
| 515 |
+
gyro_mean_max: 0.005
|
| 516 |
+
gt_source: state_estimator
|
| 517 |
+
seq_name: 2024-11-18-17-13-09
|
| 518 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 519 |
+
config:
|
| 520 |
+
window_size: ${train.window}
|
| 521 |
+
seq:
|
| 522 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 523 |
+
config:
|
| 524 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 525 |
+
device: ${meta.device}
|
| 526 |
+
dtype: ${meta.dtype}
|
| 527 |
+
acc_sigma: 0.1
|
| 528 |
+
gyro_sigma: 0.0316227766
|
| 529 |
+
num_imus: 1
|
| 530 |
+
num_joints: 12
|
| 531 |
+
target_rate: 200.0
|
| 532 |
+
debias: true
|
| 533 |
+
calibrater:
|
| 534 |
+
kind: imu
|
| 535 |
+
gyro_mean_max: 0.005
|
| 536 |
+
gt_source: state_estimator
|
| 537 |
+
seq_name: 2024-11-18-17-31-36
|
| 538 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 539 |
+
config:
|
| 540 |
+
window_size: ${train.window}
|
| 541 |
+
seq:
|
| 542 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 543 |
+
config:
|
| 544 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 545 |
+
device: ${meta.device}
|
| 546 |
+
dtype: ${meta.dtype}
|
| 547 |
+
acc_sigma: 0.1
|
| 548 |
+
gyro_sigma: 0.0316227766
|
| 549 |
+
num_imus: 1
|
| 550 |
+
num_joints: 12
|
| 551 |
+
target_rate: 200.0
|
| 552 |
+
debias: true
|
| 553 |
+
calibrater:
|
| 554 |
+
kind: imu
|
| 555 |
+
gyro_mean_max: 0.005
|
| 556 |
+
gt_source: state_estimator
|
| 557 |
+
seq_name: 2024-12-09-09-34-43
|
| 558 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 559 |
+
config:
|
| 560 |
+
window_size: ${train.window}
|
| 561 |
+
seq:
|
| 562 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 563 |
+
config:
|
| 564 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 565 |
+
device: ${meta.device}
|
| 566 |
+
dtype: ${meta.dtype}
|
| 567 |
+
acc_sigma: 0.1
|
| 568 |
+
gyro_sigma: 0.0316227766
|
| 569 |
+
num_imus: 1
|
| 570 |
+
num_joints: 12
|
| 571 |
+
target_rate: 200.0
|
| 572 |
+
debias: true
|
| 573 |
+
calibrater:
|
| 574 |
+
kind: imu
|
| 575 |
+
gyro_mean_max: 0.005
|
| 576 |
+
gt_source: state_estimator
|
| 577 |
+
seq_name: 2024-12-09-09-41-46
|
| 578 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 579 |
+
config:
|
| 580 |
+
window_size: ${train.window}
|
| 581 |
+
seq:
|
| 582 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 583 |
+
config:
|
| 584 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 585 |
+
device: ${meta.device}
|
| 586 |
+
dtype: ${meta.dtype}
|
| 587 |
+
acc_sigma: 0.1
|
| 588 |
+
gyro_sigma: 0.0316227766
|
| 589 |
+
num_imus: 1
|
| 590 |
+
num_joints: 12
|
| 591 |
+
target_rate: 200.0
|
| 592 |
+
debias: true
|
| 593 |
+
calibrater:
|
| 594 |
+
kind: imu
|
| 595 |
+
gyro_mean_max: 0.005
|
| 596 |
+
gt_source: state_estimator
|
| 597 |
+
seq_name: 2024-12-09-11-28-28
|
| 598 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 599 |
+
config:
|
| 600 |
+
window_size: ${train.window}
|
| 601 |
+
seq:
|
| 602 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 603 |
+
config:
|
| 604 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 605 |
+
device: ${meta.device}
|
| 606 |
+
dtype: ${meta.dtype}
|
| 607 |
+
acc_sigma: 0.1
|
| 608 |
+
gyro_sigma: 0.0316227766
|
| 609 |
+
num_imus: 1
|
| 610 |
+
num_joints: 12
|
| 611 |
+
target_rate: 200.0
|
| 612 |
+
debias: true
|
| 613 |
+
calibrater:
|
| 614 |
+
kind: imu
|
| 615 |
+
gyro_mean_max: 0.005
|
| 616 |
+
gt_source: state_estimator
|
| 617 |
+
seq_name: 2024-12-09-11-53-11
|
| 618 |
+
val_dataset:
|
| 619 |
+
_outer:
|
| 620 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 621 |
+
config:
|
| 622 |
+
window_size: ${train.window}
|
| 623 |
+
step_size: ${train.window}
|
| 624 |
+
_inner:
|
| 625 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 626 |
+
_icg:
|
| 627 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 628 |
+
device: ${meta.device}
|
| 629 |
+
dtype: ${meta.dtype}
|
| 630 |
+
acc_sigma: 0.1
|
| 631 |
+
gyro_sigma: 0.0316227766
|
| 632 |
+
num_imus: 1
|
| 633 |
+
num_joints: 12
|
| 634 |
+
target_rate: 200.0
|
| 635 |
+
debias: true
|
| 636 |
+
calibrater:
|
| 637 |
+
kind: imu
|
| 638 |
+
gyro_mean_max: 0.005
|
| 639 |
+
gt_source: cpt7_ie
|
| 640 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 641 |
+
sequences:
|
| 642 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 643 |
+
config:
|
| 644 |
+
window_size: ${train.window}
|
| 645 |
+
step_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.1
|
| 653 |
+
gyro_sigma: 0.0316227766
|
| 654 |
+
num_imus: 1
|
| 655 |
+
num_joints: 12
|
| 656 |
+
target_rate: 200.0
|
| 657 |
+
debias: true
|
| 658 |
+
calibrater:
|
| 659 |
+
kind: imu
|
| 660 |
+
gyro_mean_max: 0.005
|
| 661 |
+
gt_source: cpt7_ie
|
| 662 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 663 |
+
seq_name: 2024-11-15-10-16-35
|
| 664 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 665 |
+
config:
|
| 666 |
+
window_size: ${train.window}
|
| 667 |
+
step_size: ${train.window}
|
| 668 |
+
seq:
|
| 669 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 670 |
+
config:
|
| 671 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 672 |
+
device: ${meta.device}
|
| 673 |
+
dtype: ${meta.dtype}
|
| 674 |
+
acc_sigma: 0.1
|
| 675 |
+
gyro_sigma: 0.0316227766
|
| 676 |
+
num_imus: 1
|
| 677 |
+
num_joints: 12
|
| 678 |
+
target_rate: 200.0
|
| 679 |
+
debias: true
|
| 680 |
+
calibrater:
|
| 681 |
+
kind: imu
|
| 682 |
+
gyro_mean_max: 0.005
|
| 683 |
+
gt_source: cpt7_ie
|
| 684 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 685 |
+
seq_name: 2024-11-15-16-41-14
|
| 686 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 687 |
+
config:
|
| 688 |
+
window_size: ${train.window}
|
| 689 |
+
step_size: ${train.window}
|
| 690 |
+
seq:
|
| 691 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 692 |
+
config:
|
| 693 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 694 |
+
device: ${meta.device}
|
| 695 |
+
dtype: ${meta.dtype}
|
| 696 |
+
acc_sigma: 0.1
|
| 697 |
+
gyro_sigma: 0.0316227766
|
| 698 |
+
num_imus: 1
|
| 699 |
+
num_joints: 12
|
| 700 |
+
target_rate: 200.0
|
| 701 |
+
debias: true
|
| 702 |
+
calibrater:
|
| 703 |
+
kind: imu
|
| 704 |
+
gyro_mean_max: 0.005
|
| 705 |
+
gt_source: cpt7_ie
|
| 706 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 707 |
+
seq_name: 2024-11-11-12-42-47
|
| 708 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 709 |
+
config:
|
| 710 |
+
window_size: ${train.window}
|
| 711 |
+
step_size: ${train.window}
|
| 712 |
+
seq:
|
| 713 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 714 |
+
config:
|
| 715 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 716 |
+
device: ${meta.device}
|
| 717 |
+
dtype: ${meta.dtype}
|
| 718 |
+
acc_sigma: 0.1
|
| 719 |
+
gyro_sigma: 0.0316227766
|
| 720 |
+
num_imus: 1
|
| 721 |
+
num_joints: 12
|
| 722 |
+
target_rate: 200.0
|
| 723 |
+
debias: true
|
| 724 |
+
calibrater:
|
| 725 |
+
kind: imu
|
| 726 |
+
gyro_mean_max: 0.005
|
| 727 |
+
gt_source: cpt7_ie
|
| 728 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 729 |
+
seq_name: 2024-11-03-07-52-45
|
| 730 |
+
test_dataset:
|
| 731 |
+
_outer:
|
| 732 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 733 |
+
config:
|
| 734 |
+
window_size: ${train.window}
|
| 735 |
+
step_size: ${train.window}
|
| 736 |
+
_inner:
|
| 737 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 738 |
+
_icg:
|
| 739 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 740 |
+
device: ${meta.device}
|
| 741 |
+
dtype: ${meta.dtype}
|
| 742 |
+
acc_sigma: 0.1
|
| 743 |
+
gyro_sigma: 0.0316227766
|
| 744 |
+
num_imus: 1
|
| 745 |
+
num_joints: 12
|
| 746 |
+
target_rate: 200.0
|
| 747 |
+
debias: true
|
| 748 |
+
calibrater:
|
| 749 |
+
kind: imu
|
| 750 |
+
gyro_mean_max: 0.005
|
| 751 |
+
gt_source: cpt7_ie
|
| 752 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 753 |
+
sequences:
|
| 754 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 755 |
+
config:
|
| 756 |
+
window_size: ${train.window}
|
| 757 |
+
step_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.1
|
| 765 |
+
gyro_sigma: 0.0316227766
|
| 766 |
+
num_imus: 1
|
| 767 |
+
num_joints: 12
|
| 768 |
+
target_rate: 200.0
|
| 769 |
+
debias: true
|
| 770 |
+
calibrater:
|
| 771 |
+
kind: imu
|
| 772 |
+
gyro_mean_max: 0.005
|
| 773 |
+
gt_source: cpt7_ie
|
| 774 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 775 |
+
seq_name: 2024-10-01-11-29-55
|
| 776 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 777 |
+
config:
|
| 778 |
+
window_size: ${train.window}
|
| 779 |
+
step_size: ${train.window}
|
| 780 |
+
seq:
|
| 781 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 782 |
+
config:
|
| 783 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 784 |
+
device: ${meta.device}
|
| 785 |
+
dtype: ${meta.dtype}
|
| 786 |
+
acc_sigma: 0.1
|
| 787 |
+
gyro_sigma: 0.0316227766
|
| 788 |
+
num_imus: 1
|
| 789 |
+
num_joints: 12
|
| 790 |
+
target_rate: 200.0
|
| 791 |
+
debias: true
|
| 792 |
+
calibrater:
|
| 793 |
+
kind: imu
|
| 794 |
+
gyro_mean_max: 0.005
|
| 795 |
+
gt_source: cpt7_ie
|
| 796 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 797 |
+
seq_name: 2024-10-01-12-00-49
|
| 798 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 799 |
+
config:
|
| 800 |
+
window_size: ${train.window}
|
| 801 |
+
step_size: ${train.window}
|
| 802 |
+
seq:
|
| 803 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 804 |
+
config:
|
| 805 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 806 |
+
device: ${meta.device}
|
| 807 |
+
dtype: ${meta.dtype}
|
| 808 |
+
acc_sigma: 0.1
|
| 809 |
+
gyro_sigma: 0.0316227766
|
| 810 |
+
num_imus: 1
|
| 811 |
+
num_joints: 12
|
| 812 |
+
target_rate: 200.0
|
| 813 |
+
debias: true
|
| 814 |
+
calibrater:
|
| 815 |
+
kind: imu
|
| 816 |
+
gyro_mean_max: 0.005
|
| 817 |
+
gt_source: cpt7_ie
|
| 818 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 819 |
+
seq_name: 2024-11-04-10-57-34
|
| 820 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 821 |
+
config:
|
| 822 |
+
window_size: ${train.window}
|
| 823 |
+
step_size: ${train.window}
|
| 824 |
+
seq:
|
| 825 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 826 |
+
config:
|
| 827 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 828 |
+
device: ${meta.device}
|
| 829 |
+
dtype: ${meta.dtype}
|
| 830 |
+
acc_sigma: 0.1
|
| 831 |
+
gyro_sigma: 0.0316227766
|
| 832 |
+
num_imus: 1
|
| 833 |
+
num_joints: 12
|
| 834 |
+
target_rate: 200.0
|
| 835 |
+
debias: true
|
| 836 |
+
calibrater:
|
| 837 |
+
kind: imu
|
| 838 |
+
gyro_mean_max: 0.005
|
| 839 |
+
gt_source: cpt7_ie
|
| 840 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 841 |
+
seq_name: 2024-11-03-13-51-43
|
| 842 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 843 |
+
config:
|
| 844 |
+
window_size: ${train.window}
|
| 845 |
+
step_size: ${train.window}
|
| 846 |
+
seq:
|
| 847 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 848 |
+
config:
|
| 849 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 850 |
+
device: ${meta.device}
|
| 851 |
+
dtype: ${meta.dtype}
|
| 852 |
+
acc_sigma: 0.1
|
| 853 |
+
gyro_sigma: 0.0316227766
|
| 854 |
+
num_imus: 1
|
| 855 |
+
num_joints: 12
|
| 856 |
+
target_rate: 200.0
|
| 857 |
+
debias: true
|
| 858 |
+
calibrater:
|
| 859 |
+
kind: imu
|
| 860 |
+
gyro_mean_max: 0.005
|
| 861 |
+
gt_source: cpt7_ie
|
| 862 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 863 |
+
seq_name: 2024-11-14-13-45-37
|
| 864 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 865 |
+
config:
|
| 866 |
+
window_size: ${train.window}
|
| 867 |
+
step_size: ${train.window}
|
| 868 |
+
seq:
|
| 869 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 870 |
+
config:
|
| 871 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 872 |
+
device: ${meta.device}
|
| 873 |
+
dtype: ${meta.dtype}
|
| 874 |
+
acc_sigma: 0.1
|
| 875 |
+
gyro_sigma: 0.0316227766
|
| 876 |
+
num_imus: 1
|
| 877 |
+
num_joints: 12
|
| 878 |
+
target_rate: 200.0
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
gyro_mean_max: 0.005
|
| 883 |
+
gt_source: cpt7_ie
|
| 884 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 885 |
+
seq_name: 2024-11-02-21-12-51
|
| 886 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 887 |
+
config:
|
| 888 |
+
window_size: ${train.window}
|
| 889 |
+
step_size: ${train.window}
|
| 890 |
+
seq:
|
| 891 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 892 |
+
config:
|
| 893 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 894 |
+
device: ${meta.device}
|
| 895 |
+
dtype: ${meta.dtype}
|
| 896 |
+
acc_sigma: 0.1
|
| 897 |
+
gyro_sigma: 0.0316227766
|
| 898 |
+
num_imus: 1
|
| 899 |
+
num_joints: 12
|
| 900 |
+
target_rate: 200.0
|
| 901 |
+
debias: true
|
| 902 |
+
calibrater:
|
| 903 |
+
kind: imu
|
| 904 |
+
gyro_mean_max: 0.005
|
| 905 |
+
gt_source: cpt7_ie
|
| 906 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 907 |
+
seq_name: 2024-11-03-07-57-34
|
| 908 |
+
network:
|
| 909 |
+
_target_: Model.airio.JointsAirIONetworkIMUOnly
|
| 910 |
+
k_list:
|
| 911 |
+
- 7
|
| 912 |
+
- 7
|
| 913 |
+
s_list:
|
| 914 |
+
- 3
|
| 915 |
+
- 3
|
| 916 |
+
p_list:
|
| 917 |
+
- 3
|
| 918 |
+
- 3
|
| 919 |
+
num_imus: 1
|
| 920 |
+
num_joints: 12
|
| 921 |
+
joint_channels:
|
| 922 |
+
- position
|
| 923 |
+
- velocity
|
| 924 |
+
- effort
|
| 925 |
+
imu_encoder_channels:
|
| 926 |
+
- 32
|
| 927 |
+
- 64
|
| 928 |
+
joint_encoder_channels:
|
| 929 |
+
- 32
|
| 930 |
+
- 64
|
| 931 |
+
fusion_dim: 64
|
| 932 |
+
fusion_hidden: 128
|
| 933 |
+
gru1_hidden: 64
|
| 934 |
+
gru2_hidden: 128
|
| 935 |
+
bidirectional: true
|
| 936 |
+
decoder_hidden: 128
|
| 937 |
+
imu_input: raw
|
| 938 |
+
optimizer:
|
| 939 |
+
_target_: torch.optim.AdamW
|
| 940 |
+
lr: ${train.lr}
|
| 941 |
+
weight_decay: ${train.decay}
|
| 942 |
+
fused: true
|
| 943 |
+
scheduler:
|
| 944 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 945 |
+
factor: 1.0
|
| 946 |
+
total_iters: 0
|
| 947 |
+
loss:
|
| 948 |
+
_target_: Loss.ssio.HybridSSIOLoss
|
| 949 |
+
base_weight: 0.0
|
| 950 |
+
anchor_weight: 100.0
|
| 951 |
+
anchor_loss: Huber
|
| 952 |
+
huber_delta: 0.005
|
| 953 |
+
cov_anchor_weight: 0.01
|
| 954 |
+
covaug: true
|
| 955 |
+
cov_floor: 1.0e-06
|
| 956 |
+
base:
|
| 957 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 958 |
+
dv:
|
| 959 |
+
- - 1
|
| 960 |
+
- 1.0
|
| 961 |
+
modality:
|
| 962 |
+
use_aux_imu: false
|
| 963 |
+
use_joints: true
|
| 964 |
+
train:
|
| 965 |
+
lr: 0.001
|
| 966 |
+
decay: 0.001
|
| 967 |
+
batch: 512
|
| 968 |
+
labeled_ratio: 0.5
|
| 969 |
+
num_workers: 0
|
| 970 |
+
data_ratio: 1.0
|
| 971 |
+
epoch: 30
|
| 972 |
+
window: 1024
|
| 973 |
+
ema: true
|
| 974 |
+
freeze_bn: false
|
| 975 |
+
gravity: 9.81007
|
| 976 |
+
checkpoint_every_epochs: 1
|
| 977 |
+
plot_every_epochs: 10
|
| 978 |
+
test_every_epochs: 1
|
| 979 |
+
max_train_steps: null
|
| 980 |
+
zupt_weight: 0.0
|
| 981 |
+
zupt_gate: all
|
| 982 |
+
zupt_speed_max: 0.02
|
| 983 |
+
zupt_sched_enable: false
|
| 984 |
+
zupt_sched_start: null
|
| 985 |
+
zupt_sched_end: null
|
| 986 |
+
dv_imu_input: corrected
|
| 987 |
+
acc_noise_std: 0.0
|
| 988 |
+
gyro_noise_std: 0.0
|
| 989 |
+
resume_from: null
|
| 990 |
+
meta:
|
| 991 |
+
device: ${as_device:'cuda:0'}
|
| 992 |
+
dtype: ${as_dtype:'fp32'}
|
| 993 |
+
wandb:
|
| 994 |
+
project: SSIO
|
| 995 |
+
mode: online
|
| 996 |
+
name: null
|
grandtour/airio_proprio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- loss=supervised_only
|
| 117 |
+
- train.zupt_weight=0.0
|
| 118 |
+
- network=airio_joints_imu_only_anymal
|
| 119 |
+
- modality.use_joints=true
|
| 120 |
+
- modality.use_aux_imu=false
|
| 121 |
+
- train.epoch=30
|
| 122 |
+
- train.checkpoint_every_epochs=1
|
| 123 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 124 |
+
- dataset@val_dataset=ANYmal_Val
|
| 125 |
+
- dataset@test_dataset=ANYmal_Test
|
| 126 |
+
job:
|
| 127 |
+
name: train_step1_ssio
|
| 128 |
+
chdir: false
|
| 129 |
+
override_dirname: dataset@test_dataset=ANYmal_Test,dataset@train_dataset=ANYmal_SSL,dataset@val_dataset=ANYmal_Val,loss=supervised_only,modality.use_aux_imu=false,modality.use_joints=true,network=airio_joints_imu_only_anymal,train.checkpoint_every_epochs=1,train.epoch=30,train.zupt_weight=0.0
|
| 130 |
+
id: ???
|
| 131 |
+
num: ???
|
| 132 |
+
config_name: train_ssio
|
| 133 |
+
env_set: {}
|
| 134 |
+
env_copy: []
|
| 135 |
+
config:
|
| 136 |
+
override_dirname:
|
| 137 |
+
kv_sep: '='
|
| 138 |
+
item_sep: ','
|
| 139 |
+
exclude_keys: []
|
| 140 |
+
runtime:
|
| 141 |
+
version: 1.3.2
|
| 142 |
+
version_base: '1.3'
|
| 143 |
+
cwd: .
|
| 144 |
+
config_sources:
|
| 145 |
+
- path: hydra.conf
|
| 146 |
+
schema: pkg
|
| 147 |
+
provider: hydra
|
| 148 |
+
- path: ./Config
|
| 149 |
+
schema: file
|
| 150 |
+
provider: main
|
| 151 |
+
- path: ./Config
|
| 152 |
+
schema: file
|
| 153 |
+
provider: hydra.searchpath in main
|
| 154 |
+
- path: ''
|
| 155 |
+
schema: structured
|
| 156 |
+
provider: schema
|
| 157 |
+
output_dir: ./experiments/train_ssio/ANYmal_SSL/20260913_225239
|
| 158 |
+
choices:
|
| 159 |
+
loss: supervised_only
|
| 160 |
+
scheduler: constant
|
| 161 |
+
optimizer: adamw
|
| 162 |
+
network: airio_joints_imu_only_anymal
|
| 163 |
+
dataset@test_dataset: ANYmal_Test
|
| 164 |
+
dataset@val_dataset: ANYmal_Val
|
| 165 |
+
dataset@train_dataset: ANYmal_SSL
|
| 166 |
+
hydra/env: default
|
| 167 |
+
hydra/callbacks: null
|
| 168 |
+
hydra/job_logging: default
|
| 169 |
+
hydra/hydra_logging: default
|
| 170 |
+
hydra/hydra_help: default
|
| 171 |
+
hydra/help: default
|
| 172 |
+
hydra/sweeper: basic
|
| 173 |
+
hydra/launcher: basic
|
| 174 |
+
hydra/output: default
|
| 175 |
+
verbose: false
|
grandtour/airio_proprio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- loss=supervised_only
|
| 2 |
+
- train.zupt_weight=0.0
|
| 3 |
+
- network=airio_joints_imu_only_anymal
|
| 4 |
+
- modality.use_joints=true
|
| 5 |
+
- modality.use_aux_imu=false
|
| 6 |
+
- train.epoch=30
|
| 7 |
+
- train.checkpoint_every_epochs=1
|
| 8 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 9 |
+
- dataset@val_dataset=ANYmal_Val
|
| 10 |
+
- dataset@test_dataset=ANYmal_Test
|
grandtour/airio_proprio/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84b37addf729f143e9f8cac6e973e5854ed5c1bb44f7a9f14d7da2bd3e108d21
|
| 3 |
+
size 1618549
|
grandtour/ssio/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,986 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
train_dataset:
|
| 2 |
+
_outer:
|
| 3 |
+
_target_: Sequence.RandomWindow.RandomWindow
|
| 4 |
+
config:
|
| 5 |
+
window_size: ${train.window}
|
| 6 |
+
_inner:
|
| 7 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 8 |
+
_icg:
|
| 9 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 10 |
+
device: ${meta.device}
|
| 11 |
+
dtype: ${meta.dtype}
|
| 12 |
+
acc_sigma: 0.1
|
| 13 |
+
gyro_sigma: 0.0316227766
|
| 14 |
+
num_imus: 1
|
| 15 |
+
num_joints: 12
|
| 16 |
+
target_rate: 200.0
|
| 17 |
+
debias: true
|
| 18 |
+
calibrater:
|
| 19 |
+
kind: imu
|
| 20 |
+
gyro_mean_max: 0.005
|
| 21 |
+
gt_source: cpt7_ie
|
| 22 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 23 |
+
_ici:
|
| 24 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 25 |
+
device: ${meta.device}
|
| 26 |
+
dtype: ${meta.dtype}
|
| 27 |
+
acc_sigma: 0.1
|
| 28 |
+
gyro_sigma: 0.0316227766
|
| 29 |
+
num_imus: 1
|
| 30 |
+
num_joints: 12
|
| 31 |
+
target_rate: 200.0
|
| 32 |
+
debias: true
|
| 33 |
+
calibrater:
|
| 34 |
+
kind: imu
|
| 35 |
+
gyro_mean_max: 0.005
|
| 36 |
+
gt_source: state_estimator
|
| 37 |
+
sequences:
|
| 38 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 39 |
+
config:
|
| 40 |
+
window_size: ${train.window}
|
| 41 |
+
seq:
|
| 42 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 43 |
+
config:
|
| 44 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 45 |
+
device: ${meta.device}
|
| 46 |
+
dtype: ${meta.dtype}
|
| 47 |
+
acc_sigma: 0.1
|
| 48 |
+
gyro_sigma: 0.0316227766
|
| 49 |
+
num_imus: 1
|
| 50 |
+
num_joints: 12
|
| 51 |
+
target_rate: 200.0
|
| 52 |
+
debias: true
|
| 53 |
+
calibrater:
|
| 54 |
+
kind: imu
|
| 55 |
+
gyro_mean_max: 0.005
|
| 56 |
+
gt_source: cpt7_ie
|
| 57 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 58 |
+
seq_name: 2024-11-02-17-10-25
|
| 59 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 60 |
+
config:
|
| 61 |
+
window_size: ${train.window}
|
| 62 |
+
seq:
|
| 63 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 64 |
+
config:
|
| 65 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 66 |
+
device: ${meta.device}
|
| 67 |
+
dtype: ${meta.dtype}
|
| 68 |
+
acc_sigma: 0.1
|
| 69 |
+
gyro_sigma: 0.0316227766
|
| 70 |
+
num_imus: 1
|
| 71 |
+
num_joints: 12
|
| 72 |
+
target_rate: 200.0
|
| 73 |
+
debias: true
|
| 74 |
+
calibrater:
|
| 75 |
+
kind: imu
|
| 76 |
+
gyro_mean_max: 0.005
|
| 77 |
+
gt_source: cpt7_ie
|
| 78 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 79 |
+
seq_name: 2024-11-02-17-18-32
|
| 80 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 81 |
+
config:
|
| 82 |
+
window_size: ${train.window}
|
| 83 |
+
seq:
|
| 84 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 85 |
+
config:
|
| 86 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 87 |
+
device: ${meta.device}
|
| 88 |
+
dtype: ${meta.dtype}
|
| 89 |
+
acc_sigma: 0.1
|
| 90 |
+
gyro_sigma: 0.0316227766
|
| 91 |
+
num_imus: 1
|
| 92 |
+
num_joints: 12
|
| 93 |
+
target_rate: 200.0
|
| 94 |
+
debias: true
|
| 95 |
+
calibrater:
|
| 96 |
+
kind: imu
|
| 97 |
+
gyro_mean_max: 0.005
|
| 98 |
+
gt_source: cpt7_ie
|
| 99 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 100 |
+
seq_name: 2024-11-04-12-55-59
|
| 101 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 102 |
+
config:
|
| 103 |
+
window_size: ${train.window}
|
| 104 |
+
seq:
|
| 105 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 106 |
+
config:
|
| 107 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 108 |
+
device: ${meta.device}
|
| 109 |
+
dtype: ${meta.dtype}
|
| 110 |
+
acc_sigma: 0.1
|
| 111 |
+
gyro_sigma: 0.0316227766
|
| 112 |
+
num_imus: 1
|
| 113 |
+
num_joints: 12
|
| 114 |
+
target_rate: 200.0
|
| 115 |
+
debias: true
|
| 116 |
+
calibrater:
|
| 117 |
+
kind: imu
|
| 118 |
+
gyro_mean_max: 0.005
|
| 119 |
+
gt_source: cpt7_ie
|
| 120 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 121 |
+
seq_name: 2024-11-11-12-07-40
|
| 122 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 123 |
+
config:
|
| 124 |
+
window_size: ${train.window}
|
| 125 |
+
seq:
|
| 126 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 127 |
+
config:
|
| 128 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 129 |
+
device: ${meta.device}
|
| 130 |
+
dtype: ${meta.dtype}
|
| 131 |
+
acc_sigma: 0.1
|
| 132 |
+
gyro_sigma: 0.0316227766
|
| 133 |
+
num_imus: 1
|
| 134 |
+
num_joints: 12
|
| 135 |
+
target_rate: 200.0
|
| 136 |
+
debias: true
|
| 137 |
+
calibrater:
|
| 138 |
+
kind: imu
|
| 139 |
+
gyro_mean_max: 0.005
|
| 140 |
+
gt_source: cpt7_ie
|
| 141 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 142 |
+
seq_name: 2024-11-14-11-17-02
|
| 143 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 144 |
+
config:
|
| 145 |
+
window_size: ${train.window}
|
| 146 |
+
seq:
|
| 147 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 148 |
+
config:
|
| 149 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 150 |
+
device: ${meta.device}
|
| 151 |
+
dtype: ${meta.dtype}
|
| 152 |
+
acc_sigma: 0.1
|
| 153 |
+
gyro_sigma: 0.0316227766
|
| 154 |
+
num_imus: 1
|
| 155 |
+
num_joints: 12
|
| 156 |
+
target_rate: 200.0
|
| 157 |
+
debias: true
|
| 158 |
+
calibrater:
|
| 159 |
+
kind: imu
|
| 160 |
+
gyro_mean_max: 0.005
|
| 161 |
+
gt_source: cpt7_ie
|
| 162 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 163 |
+
seq_name: 2024-11-14-15-22-43
|
| 164 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 165 |
+
config:
|
| 166 |
+
window_size: ${train.window}
|
| 167 |
+
seq:
|
| 168 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 169 |
+
config:
|
| 170 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 171 |
+
device: ${meta.device}
|
| 172 |
+
dtype: ${meta.dtype}
|
| 173 |
+
acc_sigma: 0.1
|
| 174 |
+
gyro_sigma: 0.0316227766
|
| 175 |
+
num_imus: 1
|
| 176 |
+
num_joints: 12
|
| 177 |
+
target_rate: 200.0
|
| 178 |
+
debias: true
|
| 179 |
+
calibrater:
|
| 180 |
+
kind: imu
|
| 181 |
+
gyro_mean_max: 0.005
|
| 182 |
+
gt_source: cpt7_ie
|
| 183 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 184 |
+
seq_name: 2024-11-14-16-04-09
|
| 185 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 186 |
+
config:
|
| 187 |
+
window_size: ${train.window}
|
| 188 |
+
seq:
|
| 189 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 190 |
+
config:
|
| 191 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 192 |
+
device: ${meta.device}
|
| 193 |
+
dtype: ${meta.dtype}
|
| 194 |
+
acc_sigma: 0.1
|
| 195 |
+
gyro_sigma: 0.0316227766
|
| 196 |
+
num_imus: 1
|
| 197 |
+
num_joints: 12
|
| 198 |
+
target_rate: 200.0
|
| 199 |
+
debias: true
|
| 200 |
+
calibrater:
|
| 201 |
+
kind: imu
|
| 202 |
+
gyro_mean_max: 0.005
|
| 203 |
+
gt_source: cpt7_ie
|
| 204 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 205 |
+
seq_name: 2024-11-15-11-18-14
|
| 206 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 207 |
+
config:
|
| 208 |
+
window_size: ${train.window}
|
| 209 |
+
seq:
|
| 210 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 211 |
+
config:
|
| 212 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 213 |
+
device: ${meta.device}
|
| 214 |
+
dtype: ${meta.dtype}
|
| 215 |
+
acc_sigma: 0.1
|
| 216 |
+
gyro_sigma: 0.0316227766
|
| 217 |
+
num_imus: 1
|
| 218 |
+
num_joints: 12
|
| 219 |
+
target_rate: 200.0
|
| 220 |
+
debias: true
|
| 221 |
+
calibrater:
|
| 222 |
+
kind: imu
|
| 223 |
+
gyro_mean_max: 0.005
|
| 224 |
+
gt_source: cpt7_ie
|
| 225 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 226 |
+
seq_name: 2024-11-15-11-37-15
|
| 227 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 228 |
+
config:
|
| 229 |
+
window_size: ${train.window}
|
| 230 |
+
seq:
|
| 231 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 232 |
+
config:
|
| 233 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 234 |
+
device: ${meta.device}
|
| 235 |
+
dtype: ${meta.dtype}
|
| 236 |
+
acc_sigma: 0.1
|
| 237 |
+
gyro_sigma: 0.0316227766
|
| 238 |
+
num_imus: 1
|
| 239 |
+
num_joints: 12
|
| 240 |
+
target_rate: 200.0
|
| 241 |
+
debias: true
|
| 242 |
+
calibrater:
|
| 243 |
+
kind: imu
|
| 244 |
+
gyro_mean_max: 0.005
|
| 245 |
+
gt_source: cpt7_ie
|
| 246 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 247 |
+
seq_name: 2024-11-15-12-06-03
|
| 248 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 249 |
+
config:
|
| 250 |
+
window_size: ${train.window}
|
| 251 |
+
seq:
|
| 252 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 253 |
+
config:
|
| 254 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 255 |
+
device: ${meta.device}
|
| 256 |
+
dtype: ${meta.dtype}
|
| 257 |
+
acc_sigma: 0.1
|
| 258 |
+
gyro_sigma: 0.0316227766
|
| 259 |
+
num_imus: 1
|
| 260 |
+
num_joints: 12
|
| 261 |
+
target_rate: 200.0
|
| 262 |
+
debias: true
|
| 263 |
+
calibrater:
|
| 264 |
+
kind: imu
|
| 265 |
+
gyro_mean_max: 0.005
|
| 266 |
+
gt_source: cpt7_ie
|
| 267 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 268 |
+
seq_name: 2024-11-15-14-14-12
|
| 269 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 270 |
+
config:
|
| 271 |
+
window_size: ${train.window}
|
| 272 |
+
seq:
|
| 273 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 274 |
+
config:
|
| 275 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 276 |
+
device: ${meta.device}
|
| 277 |
+
dtype: ${meta.dtype}
|
| 278 |
+
acc_sigma: 0.1
|
| 279 |
+
gyro_sigma: 0.0316227766
|
| 280 |
+
num_imus: 1
|
| 281 |
+
num_joints: 12
|
| 282 |
+
target_rate: 200.0
|
| 283 |
+
debias: true
|
| 284 |
+
calibrater:
|
| 285 |
+
kind: imu
|
| 286 |
+
gyro_mean_max: 0.005
|
| 287 |
+
gt_source: cpt7_ie
|
| 288 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 289 |
+
seq_name: 2024-11-15-14-43-52
|
| 290 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 291 |
+
config:
|
| 292 |
+
window_size: ${train.window}
|
| 293 |
+
seq:
|
| 294 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 295 |
+
config:
|
| 296 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 297 |
+
device: ${meta.device}
|
| 298 |
+
dtype: ${meta.dtype}
|
| 299 |
+
acc_sigma: 0.1
|
| 300 |
+
gyro_sigma: 0.0316227766
|
| 301 |
+
num_imus: 1
|
| 302 |
+
num_joints: 12
|
| 303 |
+
target_rate: 200.0
|
| 304 |
+
debias: true
|
| 305 |
+
calibrater:
|
| 306 |
+
kind: imu
|
| 307 |
+
gyro_mean_max: 0.005
|
| 308 |
+
gt_source: cpt7_ie
|
| 309 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 310 |
+
seq_name: 2024-11-18-13-22-14
|
| 311 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 312 |
+
config:
|
| 313 |
+
window_size: ${train.window}
|
| 314 |
+
seq:
|
| 315 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 316 |
+
config:
|
| 317 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 318 |
+
device: ${meta.device}
|
| 319 |
+
dtype: ${meta.dtype}
|
| 320 |
+
acc_sigma: 0.1
|
| 321 |
+
gyro_sigma: 0.0316227766
|
| 322 |
+
num_imus: 1
|
| 323 |
+
num_joints: 12
|
| 324 |
+
target_rate: 200.0
|
| 325 |
+
debias: true
|
| 326 |
+
calibrater:
|
| 327 |
+
kind: imu
|
| 328 |
+
gyro_mean_max: 0.005
|
| 329 |
+
gt_source: cpt7_ie
|
| 330 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 331 |
+
seq_name: 2024-11-18-13-48-19
|
| 332 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 333 |
+
config:
|
| 334 |
+
window_size: ${train.window}
|
| 335 |
+
seq:
|
| 336 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 337 |
+
config:
|
| 338 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 339 |
+
device: ${meta.device}
|
| 340 |
+
dtype: ${meta.dtype}
|
| 341 |
+
acc_sigma: 0.1
|
| 342 |
+
gyro_sigma: 0.0316227766
|
| 343 |
+
num_imus: 1
|
| 344 |
+
num_joints: 12
|
| 345 |
+
target_rate: 200.0
|
| 346 |
+
debias: true
|
| 347 |
+
calibrater:
|
| 348 |
+
kind: imu
|
| 349 |
+
gyro_mean_max: 0.005
|
| 350 |
+
gt_source: cpt7_ie
|
| 351 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 352 |
+
seq_name: 2024-11-18-15-46-05
|
| 353 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 354 |
+
config:
|
| 355 |
+
window_size: ${train.window}
|
| 356 |
+
seq:
|
| 357 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 358 |
+
config:
|
| 359 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 360 |
+
device: ${meta.device}
|
| 361 |
+
dtype: ${meta.dtype}
|
| 362 |
+
acc_sigma: 0.1
|
| 363 |
+
gyro_sigma: 0.0316227766
|
| 364 |
+
num_imus: 1
|
| 365 |
+
num_joints: 12
|
| 366 |
+
target_rate: 200.0
|
| 367 |
+
debias: true
|
| 368 |
+
calibrater:
|
| 369 |
+
kind: imu
|
| 370 |
+
gyro_mean_max: 0.005
|
| 371 |
+
gt_source: cpt7_ie
|
| 372 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 373 |
+
seq_name: 2024-11-18-16-59-23
|
| 374 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 375 |
+
config:
|
| 376 |
+
window_size: ${train.window}
|
| 377 |
+
seq:
|
| 378 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 379 |
+
config:
|
| 380 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 381 |
+
device: ${meta.device}
|
| 382 |
+
dtype: ${meta.dtype}
|
| 383 |
+
acc_sigma: 0.1
|
| 384 |
+
gyro_sigma: 0.0316227766
|
| 385 |
+
num_imus: 1
|
| 386 |
+
num_joints: 12
|
| 387 |
+
target_rate: 200.0
|
| 388 |
+
debias: true
|
| 389 |
+
calibrater:
|
| 390 |
+
kind: imu
|
| 391 |
+
gyro_mean_max: 0.005
|
| 392 |
+
gt_source: cpt7_ie
|
| 393 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 394 |
+
seq_name: 2024-12-03-13-15-38
|
| 395 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 396 |
+
config:
|
| 397 |
+
window_size: ${train.window}
|
| 398 |
+
seq:
|
| 399 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 400 |
+
config:
|
| 401 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 402 |
+
device: ${meta.device}
|
| 403 |
+
dtype: ${meta.dtype}
|
| 404 |
+
acc_sigma: 0.1
|
| 405 |
+
gyro_sigma: 0.0316227766
|
| 406 |
+
num_imus: 1
|
| 407 |
+
num_joints: 12
|
| 408 |
+
target_rate: 200.0
|
| 409 |
+
debias: true
|
| 410 |
+
calibrater:
|
| 411 |
+
kind: imu
|
| 412 |
+
gyro_mean_max: 0.005
|
| 413 |
+
gt_source: cpt7_ie
|
| 414 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 415 |
+
seq_name: 2024-12-03-13-26-40
|
| 416 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 417 |
+
config:
|
| 418 |
+
window_size: ${train.window}
|
| 419 |
+
seq:
|
| 420 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 421 |
+
config:
|
| 422 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 423 |
+
device: ${meta.device}
|
| 424 |
+
dtype: ${meta.dtype}
|
| 425 |
+
acc_sigma: 0.1
|
| 426 |
+
gyro_sigma: 0.0316227766
|
| 427 |
+
num_imus: 1
|
| 428 |
+
num_joints: 12
|
| 429 |
+
target_rate: 200.0
|
| 430 |
+
debias: true
|
| 431 |
+
calibrater:
|
| 432 |
+
kind: imu
|
| 433 |
+
gyro_mean_max: 0.005
|
| 434 |
+
gt_source: cpt7_ie
|
| 435 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 436 |
+
seq_name: 2024-11-25-14-57-08
|
| 437 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 438 |
+
config:
|
| 439 |
+
window_size: ${train.window}
|
| 440 |
+
seq:
|
| 441 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 442 |
+
config:
|
| 443 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 444 |
+
device: ${meta.device}
|
| 445 |
+
dtype: ${meta.dtype}
|
| 446 |
+
acc_sigma: 0.1
|
| 447 |
+
gyro_sigma: 0.0316227766
|
| 448 |
+
num_imus: 1
|
| 449 |
+
num_joints: 12
|
| 450 |
+
target_rate: 200.0
|
| 451 |
+
debias: true
|
| 452 |
+
calibrater:
|
| 453 |
+
kind: imu
|
| 454 |
+
gyro_mean_max: 0.005
|
| 455 |
+
gt_source: cpt7_ie
|
| 456 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 457 |
+
seq_name: 2024-11-25-16-36-19
|
| 458 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 459 |
+
config:
|
| 460 |
+
window_size: ${train.window}
|
| 461 |
+
seq:
|
| 462 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 463 |
+
config:
|
| 464 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 465 |
+
device: ${meta.device}
|
| 466 |
+
dtype: ${meta.dtype}
|
| 467 |
+
acc_sigma: 0.1
|
| 468 |
+
gyro_sigma: 0.0316227766
|
| 469 |
+
num_imus: 1
|
| 470 |
+
num_joints: 12
|
| 471 |
+
target_rate: 200.0
|
| 472 |
+
debias: true
|
| 473 |
+
calibrater:
|
| 474 |
+
kind: imu
|
| 475 |
+
gyro_mean_max: 0.005
|
| 476 |
+
gt_source: state_estimator
|
| 477 |
+
seq_name: 2024-10-01-11-47-44
|
| 478 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 479 |
+
config:
|
| 480 |
+
window_size: ${train.window}
|
| 481 |
+
seq:
|
| 482 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 483 |
+
config:
|
| 484 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 485 |
+
device: ${meta.device}
|
| 486 |
+
dtype: ${meta.dtype}
|
| 487 |
+
acc_sigma: 0.1
|
| 488 |
+
gyro_sigma: 0.0316227766
|
| 489 |
+
num_imus: 1
|
| 490 |
+
num_joints: 12
|
| 491 |
+
target_rate: 200.0
|
| 492 |
+
debias: true
|
| 493 |
+
calibrater:
|
| 494 |
+
kind: imu
|
| 495 |
+
gyro_mean_max: 0.005
|
| 496 |
+
gt_source: state_estimator
|
| 497 |
+
seq_name: 2024-11-11-16-14-23
|
| 498 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 499 |
+
config:
|
| 500 |
+
window_size: ${train.window}
|
| 501 |
+
seq:
|
| 502 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 503 |
+
config:
|
| 504 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 505 |
+
device: ${meta.device}
|
| 506 |
+
dtype: ${meta.dtype}
|
| 507 |
+
acc_sigma: 0.1
|
| 508 |
+
gyro_sigma: 0.0316227766
|
| 509 |
+
num_imus: 1
|
| 510 |
+
num_joints: 12
|
| 511 |
+
target_rate: 200.0
|
| 512 |
+
debias: true
|
| 513 |
+
calibrater:
|
| 514 |
+
kind: imu
|
| 515 |
+
gyro_mean_max: 0.005
|
| 516 |
+
gt_source: state_estimator
|
| 517 |
+
seq_name: 2024-11-18-17-13-09
|
| 518 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 519 |
+
config:
|
| 520 |
+
window_size: ${train.window}
|
| 521 |
+
seq:
|
| 522 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 523 |
+
config:
|
| 524 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 525 |
+
device: ${meta.device}
|
| 526 |
+
dtype: ${meta.dtype}
|
| 527 |
+
acc_sigma: 0.1
|
| 528 |
+
gyro_sigma: 0.0316227766
|
| 529 |
+
num_imus: 1
|
| 530 |
+
num_joints: 12
|
| 531 |
+
target_rate: 200.0
|
| 532 |
+
debias: true
|
| 533 |
+
calibrater:
|
| 534 |
+
kind: imu
|
| 535 |
+
gyro_mean_max: 0.005
|
| 536 |
+
gt_source: state_estimator
|
| 537 |
+
seq_name: 2024-11-18-17-31-36
|
| 538 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 539 |
+
config:
|
| 540 |
+
window_size: ${train.window}
|
| 541 |
+
seq:
|
| 542 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 543 |
+
config:
|
| 544 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 545 |
+
device: ${meta.device}
|
| 546 |
+
dtype: ${meta.dtype}
|
| 547 |
+
acc_sigma: 0.1
|
| 548 |
+
gyro_sigma: 0.0316227766
|
| 549 |
+
num_imus: 1
|
| 550 |
+
num_joints: 12
|
| 551 |
+
target_rate: 200.0
|
| 552 |
+
debias: true
|
| 553 |
+
calibrater:
|
| 554 |
+
kind: imu
|
| 555 |
+
gyro_mean_max: 0.005
|
| 556 |
+
gt_source: state_estimator
|
| 557 |
+
seq_name: 2024-12-09-09-34-43
|
| 558 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 559 |
+
config:
|
| 560 |
+
window_size: ${train.window}
|
| 561 |
+
seq:
|
| 562 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 563 |
+
config:
|
| 564 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 565 |
+
device: ${meta.device}
|
| 566 |
+
dtype: ${meta.dtype}
|
| 567 |
+
acc_sigma: 0.1
|
| 568 |
+
gyro_sigma: 0.0316227766
|
| 569 |
+
num_imus: 1
|
| 570 |
+
num_joints: 12
|
| 571 |
+
target_rate: 200.0
|
| 572 |
+
debias: true
|
| 573 |
+
calibrater:
|
| 574 |
+
kind: imu
|
| 575 |
+
gyro_mean_max: 0.005
|
| 576 |
+
gt_source: state_estimator
|
| 577 |
+
seq_name: 2024-12-09-09-41-46
|
| 578 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 579 |
+
config:
|
| 580 |
+
window_size: ${train.window}
|
| 581 |
+
seq:
|
| 582 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 583 |
+
config:
|
| 584 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 585 |
+
device: ${meta.device}
|
| 586 |
+
dtype: ${meta.dtype}
|
| 587 |
+
acc_sigma: 0.1
|
| 588 |
+
gyro_sigma: 0.0316227766
|
| 589 |
+
num_imus: 1
|
| 590 |
+
num_joints: 12
|
| 591 |
+
target_rate: 200.0
|
| 592 |
+
debias: true
|
| 593 |
+
calibrater:
|
| 594 |
+
kind: imu
|
| 595 |
+
gyro_mean_max: 0.005
|
| 596 |
+
gt_source: state_estimator
|
| 597 |
+
seq_name: 2024-12-09-11-28-28
|
| 598 |
+
- _target_: Sequence.RandomWindow.RandomWindow
|
| 599 |
+
config:
|
| 600 |
+
window_size: ${train.window}
|
| 601 |
+
seq:
|
| 602 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 603 |
+
config:
|
| 604 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 605 |
+
device: ${meta.device}
|
| 606 |
+
dtype: ${meta.dtype}
|
| 607 |
+
acc_sigma: 0.1
|
| 608 |
+
gyro_sigma: 0.0316227766
|
| 609 |
+
num_imus: 1
|
| 610 |
+
num_joints: 12
|
| 611 |
+
target_rate: 200.0
|
| 612 |
+
debias: true
|
| 613 |
+
calibrater:
|
| 614 |
+
kind: imu
|
| 615 |
+
gyro_mean_max: 0.005
|
| 616 |
+
gt_source: state_estimator
|
| 617 |
+
seq_name: 2024-12-09-11-53-11
|
| 618 |
+
val_dataset:
|
| 619 |
+
_outer:
|
| 620 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 621 |
+
config:
|
| 622 |
+
window_size: ${train.window}
|
| 623 |
+
step_size: ${train.window}
|
| 624 |
+
_inner:
|
| 625 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 626 |
+
_icg:
|
| 627 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 628 |
+
device: ${meta.device}
|
| 629 |
+
dtype: ${meta.dtype}
|
| 630 |
+
acc_sigma: 0.1
|
| 631 |
+
gyro_sigma: 0.0316227766
|
| 632 |
+
num_imus: 1
|
| 633 |
+
num_joints: 12
|
| 634 |
+
target_rate: 200.0
|
| 635 |
+
debias: true
|
| 636 |
+
calibrater:
|
| 637 |
+
kind: imu
|
| 638 |
+
gyro_mean_max: 0.005
|
| 639 |
+
gt_source: cpt7_ie
|
| 640 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 641 |
+
sequences:
|
| 642 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 643 |
+
config:
|
| 644 |
+
window_size: ${train.window}
|
| 645 |
+
step_size: ${train.window}
|
| 646 |
+
seq:
|
| 647 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 648 |
+
config:
|
| 649 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 650 |
+
device: ${meta.device}
|
| 651 |
+
dtype: ${meta.dtype}
|
| 652 |
+
acc_sigma: 0.1
|
| 653 |
+
gyro_sigma: 0.0316227766
|
| 654 |
+
num_imus: 1
|
| 655 |
+
num_joints: 12
|
| 656 |
+
target_rate: 200.0
|
| 657 |
+
debias: true
|
| 658 |
+
calibrater:
|
| 659 |
+
kind: imu
|
| 660 |
+
gyro_mean_max: 0.005
|
| 661 |
+
gt_source: cpt7_ie
|
| 662 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 663 |
+
seq_name: 2024-11-15-10-16-35
|
| 664 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 665 |
+
config:
|
| 666 |
+
window_size: ${train.window}
|
| 667 |
+
step_size: ${train.window}
|
| 668 |
+
seq:
|
| 669 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 670 |
+
config:
|
| 671 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 672 |
+
device: ${meta.device}
|
| 673 |
+
dtype: ${meta.dtype}
|
| 674 |
+
acc_sigma: 0.1
|
| 675 |
+
gyro_sigma: 0.0316227766
|
| 676 |
+
num_imus: 1
|
| 677 |
+
num_joints: 12
|
| 678 |
+
target_rate: 200.0
|
| 679 |
+
debias: true
|
| 680 |
+
calibrater:
|
| 681 |
+
kind: imu
|
| 682 |
+
gyro_mean_max: 0.005
|
| 683 |
+
gt_source: cpt7_ie
|
| 684 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 685 |
+
seq_name: 2024-11-15-16-41-14
|
| 686 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 687 |
+
config:
|
| 688 |
+
window_size: ${train.window}
|
| 689 |
+
step_size: ${train.window}
|
| 690 |
+
seq:
|
| 691 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 692 |
+
config:
|
| 693 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 694 |
+
device: ${meta.device}
|
| 695 |
+
dtype: ${meta.dtype}
|
| 696 |
+
acc_sigma: 0.1
|
| 697 |
+
gyro_sigma: 0.0316227766
|
| 698 |
+
num_imus: 1
|
| 699 |
+
num_joints: 12
|
| 700 |
+
target_rate: 200.0
|
| 701 |
+
debias: true
|
| 702 |
+
calibrater:
|
| 703 |
+
kind: imu
|
| 704 |
+
gyro_mean_max: 0.005
|
| 705 |
+
gt_source: cpt7_ie
|
| 706 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 707 |
+
seq_name: 2024-11-11-12-42-47
|
| 708 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 709 |
+
config:
|
| 710 |
+
window_size: ${train.window}
|
| 711 |
+
step_size: ${train.window}
|
| 712 |
+
seq:
|
| 713 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 714 |
+
config:
|
| 715 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 716 |
+
device: ${meta.device}
|
| 717 |
+
dtype: ${meta.dtype}
|
| 718 |
+
acc_sigma: 0.1
|
| 719 |
+
gyro_sigma: 0.0316227766
|
| 720 |
+
num_imus: 1
|
| 721 |
+
num_joints: 12
|
| 722 |
+
target_rate: 200.0
|
| 723 |
+
debias: true
|
| 724 |
+
calibrater:
|
| 725 |
+
kind: imu
|
| 726 |
+
gyro_mean_max: 0.005
|
| 727 |
+
gt_source: cpt7_ie
|
| 728 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 729 |
+
seq_name: 2024-11-03-07-52-45
|
| 730 |
+
test_dataset:
|
| 731 |
+
_outer:
|
| 732 |
+
_target_: Sequence.SlidingWindow.SlidingWindow
|
| 733 |
+
config:
|
| 734 |
+
window_size: ${train.window}
|
| 735 |
+
step_size: ${train.window}
|
| 736 |
+
_inner:
|
| 737 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 738 |
+
_icg:
|
| 739 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 740 |
+
device: ${meta.device}
|
| 741 |
+
dtype: ${meta.dtype}
|
| 742 |
+
acc_sigma: 0.1
|
| 743 |
+
gyro_sigma: 0.0316227766
|
| 744 |
+
num_imus: 1
|
| 745 |
+
num_joints: 12
|
| 746 |
+
target_rate: 200.0
|
| 747 |
+
debias: true
|
| 748 |
+
calibrater:
|
| 749 |
+
kind: imu
|
| 750 |
+
gyro_mean_max: 0.005
|
| 751 |
+
gt_source: cpt7_ie
|
| 752 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 753 |
+
sequences:
|
| 754 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 755 |
+
config:
|
| 756 |
+
window_size: ${train.window}
|
| 757 |
+
step_size: ${train.window}
|
| 758 |
+
seq:
|
| 759 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 760 |
+
config:
|
| 761 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 762 |
+
device: ${meta.device}
|
| 763 |
+
dtype: ${meta.dtype}
|
| 764 |
+
acc_sigma: 0.1
|
| 765 |
+
gyro_sigma: 0.0316227766
|
| 766 |
+
num_imus: 1
|
| 767 |
+
num_joints: 12
|
| 768 |
+
target_rate: 200.0
|
| 769 |
+
debias: true
|
| 770 |
+
calibrater:
|
| 771 |
+
kind: imu
|
| 772 |
+
gyro_mean_max: 0.005
|
| 773 |
+
gt_source: cpt7_ie
|
| 774 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 775 |
+
seq_name: 2024-10-01-11-29-55
|
| 776 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 777 |
+
config:
|
| 778 |
+
window_size: ${train.window}
|
| 779 |
+
step_size: ${train.window}
|
| 780 |
+
seq:
|
| 781 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 782 |
+
config:
|
| 783 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 784 |
+
device: ${meta.device}
|
| 785 |
+
dtype: ${meta.dtype}
|
| 786 |
+
acc_sigma: 0.1
|
| 787 |
+
gyro_sigma: 0.0316227766
|
| 788 |
+
num_imus: 1
|
| 789 |
+
num_joints: 12
|
| 790 |
+
target_rate: 200.0
|
| 791 |
+
debias: true
|
| 792 |
+
calibrater:
|
| 793 |
+
kind: imu
|
| 794 |
+
gyro_mean_max: 0.005
|
| 795 |
+
gt_source: cpt7_ie
|
| 796 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 797 |
+
seq_name: 2024-10-01-12-00-49
|
| 798 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 799 |
+
config:
|
| 800 |
+
window_size: ${train.window}
|
| 801 |
+
step_size: ${train.window}
|
| 802 |
+
seq:
|
| 803 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 804 |
+
config:
|
| 805 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 806 |
+
device: ${meta.device}
|
| 807 |
+
dtype: ${meta.dtype}
|
| 808 |
+
acc_sigma: 0.1
|
| 809 |
+
gyro_sigma: 0.0316227766
|
| 810 |
+
num_imus: 1
|
| 811 |
+
num_joints: 12
|
| 812 |
+
target_rate: 200.0
|
| 813 |
+
debias: true
|
| 814 |
+
calibrater:
|
| 815 |
+
kind: imu
|
| 816 |
+
gyro_mean_max: 0.005
|
| 817 |
+
gt_source: cpt7_ie
|
| 818 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 819 |
+
seq_name: 2024-11-04-10-57-34
|
| 820 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 821 |
+
config:
|
| 822 |
+
window_size: ${train.window}
|
| 823 |
+
step_size: ${train.window}
|
| 824 |
+
seq:
|
| 825 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 826 |
+
config:
|
| 827 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 828 |
+
device: ${meta.device}
|
| 829 |
+
dtype: ${meta.dtype}
|
| 830 |
+
acc_sigma: 0.1
|
| 831 |
+
gyro_sigma: 0.0316227766
|
| 832 |
+
num_imus: 1
|
| 833 |
+
num_joints: 12
|
| 834 |
+
target_rate: 200.0
|
| 835 |
+
debias: true
|
| 836 |
+
calibrater:
|
| 837 |
+
kind: imu
|
| 838 |
+
gyro_mean_max: 0.005
|
| 839 |
+
gt_source: cpt7_ie
|
| 840 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 841 |
+
seq_name: 2024-11-03-13-51-43
|
| 842 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 843 |
+
config:
|
| 844 |
+
window_size: ${train.window}
|
| 845 |
+
step_size: ${train.window}
|
| 846 |
+
seq:
|
| 847 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 848 |
+
config:
|
| 849 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 850 |
+
device: ${meta.device}
|
| 851 |
+
dtype: ${meta.dtype}
|
| 852 |
+
acc_sigma: 0.1
|
| 853 |
+
gyro_sigma: 0.0316227766
|
| 854 |
+
num_imus: 1
|
| 855 |
+
num_joints: 12
|
| 856 |
+
target_rate: 200.0
|
| 857 |
+
debias: true
|
| 858 |
+
calibrater:
|
| 859 |
+
kind: imu
|
| 860 |
+
gyro_mean_max: 0.005
|
| 861 |
+
gt_source: cpt7_ie
|
| 862 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 863 |
+
seq_name: 2024-11-14-13-45-37
|
| 864 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 865 |
+
config:
|
| 866 |
+
window_size: ${train.window}
|
| 867 |
+
step_size: ${train.window}
|
| 868 |
+
seq:
|
| 869 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 870 |
+
config:
|
| 871 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 872 |
+
device: ${meta.device}
|
| 873 |
+
dtype: ${meta.dtype}
|
| 874 |
+
acc_sigma: 0.1
|
| 875 |
+
gyro_sigma: 0.0316227766
|
| 876 |
+
num_imus: 1
|
| 877 |
+
num_joints: 12
|
| 878 |
+
target_rate: 200.0
|
| 879 |
+
debias: true
|
| 880 |
+
calibrater:
|
| 881 |
+
kind: imu
|
| 882 |
+
gyro_mean_max: 0.005
|
| 883 |
+
gt_source: cpt7_ie
|
| 884 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 885 |
+
seq_name: 2024-11-02-21-12-51
|
| 886 |
+
- _target_: Sequence.SlidingWindow.SlidingWindow
|
| 887 |
+
config:
|
| 888 |
+
window_size: ${train.window}
|
| 889 |
+
step_size: ${train.window}
|
| 890 |
+
seq:
|
| 891 |
+
_target_: Sequence.ANYmal.ANYmal_Sequence
|
| 892 |
+
config:
|
| 893 |
+
data_root: ${host_env:DATA_ROOT}/grand_tour
|
| 894 |
+
device: ${meta.device}
|
| 895 |
+
dtype: ${meta.dtype}
|
| 896 |
+
acc_sigma: 0.1
|
| 897 |
+
gyro_sigma: 0.0316227766
|
| 898 |
+
num_imus: 1
|
| 899 |
+
num_joints: 12
|
| 900 |
+
target_rate: 200.0
|
| 901 |
+
debias: true
|
| 902 |
+
calibrater:
|
| 903 |
+
kind: imu
|
| 904 |
+
gyro_mean_max: 0.005
|
| 905 |
+
gt_source: cpt7_ie
|
| 906 |
+
imu_gt_offsets_json: ${host_env:DATA_ROOT}/grand_tour/anymal_imu_gt_offsets_per_imu.json
|
| 907 |
+
seq_name: 2024-11-03-07-57-34
|
| 908 |
+
network:
|
| 909 |
+
_target_: Model.airio.AirIONetworkIMUOnly
|
| 910 |
+
k_list:
|
| 911 |
+
- 7
|
| 912 |
+
- 7
|
| 913 |
+
s_list:
|
| 914 |
+
- 3
|
| 915 |
+
- 3
|
| 916 |
+
p_list:
|
| 917 |
+
- 3
|
| 918 |
+
- 3
|
| 919 |
+
imu_encoder_channels:
|
| 920 |
+
- 32
|
| 921 |
+
- 64
|
| 922 |
+
fusion_dim: 64
|
| 923 |
+
gru1_hidden: 64
|
| 924 |
+
gru2_hidden: 128
|
| 925 |
+
decoder_hidden: 128
|
| 926 |
+
bidirectional: true
|
| 927 |
+
num_imus: 1
|
| 928 |
+
imu_input: raw
|
| 929 |
+
optimizer:
|
| 930 |
+
_target_: torch.optim.AdamW
|
| 931 |
+
lr: ${train.lr}
|
| 932 |
+
weight_decay: ${train.decay}
|
| 933 |
+
fused: true
|
| 934 |
+
scheduler:
|
| 935 |
+
_target_: torch.optim.lr_scheduler.ConstantLR
|
| 936 |
+
factor: 1.0
|
| 937 |
+
total_iters: 0
|
| 938 |
+
loss:
|
| 939 |
+
_target_: Loss.ssio.FixedDvLoss
|
| 940 |
+
dv:
|
| 941 |
+
- - 1
|
| 942 |
+
- 1.0
|
| 943 |
+
- - 3
|
| 944 |
+
- 1.0
|
| 945 |
+
- - 9
|
| 946 |
+
- 1.0
|
| 947 |
+
- - 27
|
| 948 |
+
- 1.0
|
| 949 |
+
- - 81
|
| 950 |
+
- 1.0
|
| 951 |
+
modality:
|
| 952 |
+
use_aux_imu: false
|
| 953 |
+
use_joints: false
|
| 954 |
+
train:
|
| 955 |
+
lr: 5.0e-05
|
| 956 |
+
decay: 1.0e-05
|
| 957 |
+
batch: 256
|
| 958 |
+
labeled_ratio: 0.5
|
| 959 |
+
num_workers: 0
|
| 960 |
+
data_ratio: 1.0
|
| 961 |
+
epoch: 120
|
| 962 |
+
window: 1024
|
| 963 |
+
ema: true
|
| 964 |
+
freeze_bn: false
|
| 965 |
+
gravity: 9.81007
|
| 966 |
+
checkpoint_every_epochs: 10
|
| 967 |
+
plot_every_epochs: 10
|
| 968 |
+
test_every_epochs: 1
|
| 969 |
+
max_train_steps: null
|
| 970 |
+
zupt_weight: 1.0
|
| 971 |
+
zupt_gate: imu
|
| 972 |
+
zupt_speed_max: 0.02
|
| 973 |
+
zupt_sched_enable: false
|
| 974 |
+
zupt_sched_start: null
|
| 975 |
+
zupt_sched_end: null
|
| 976 |
+
dv_imu_input: corrected
|
| 977 |
+
acc_noise_std: 0.0
|
| 978 |
+
gyro_noise_std: 0.0
|
| 979 |
+
resume_from: null
|
| 980 |
+
meta:
|
| 981 |
+
device: ${as_device:'cuda:0'}
|
| 982 |
+
dtype: ${as_dtype:'fp32'}
|
| 983 |
+
wandb:
|
| 984 |
+
project: SSIO
|
| 985 |
+
mode: online
|
| 986 |
+
name: null
|
grandtour/ssio/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${host_env:EXP_DIR,./experiments}/train_ssio/${hydra:runtime.choices.dataset@train_dataset}/${now:%Y%m%d_%H%M%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath:
|
| 109 |
+
- file://${host_env:IMUNET_ROOT}/Config
|
| 110 |
+
callbacks: {}
|
| 111 |
+
output_subdir: .hydra
|
| 112 |
+
overrides:
|
| 113 |
+
hydra:
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- network=airio_imu_only
|
| 117 |
+
- modality.use_joints=false
|
| 118 |
+
- modality.use_aux_imu=false
|
| 119 |
+
- loss=ssio_dv_1_3_9_27_81
|
| 120 |
+
- train.zupt_gate=imu
|
| 121 |
+
- train.zupt_weight=1.0
|
| 122 |
+
- train.zupt_sched_enable=false
|
| 123 |
+
- train.lr=5.0e-5
|
| 124 |
+
- train.decay=1.0e-5
|
| 125 |
+
- train.batch=256
|
| 126 |
+
- train.ema=true
|
| 127 |
+
- train.epoch=120
|
| 128 |
+
- train.checkpoint_every_epochs=10
|
| 129 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 130 |
+
- dataset@val_dataset=ANYmal_Val
|
| 131 |
+
- dataset@test_dataset=ANYmal_Test
|
| 132 |
+
job:
|
| 133 |
+
name: train_step1_ssio
|
| 134 |
+
chdir: false
|
| 135 |
+
override_dirname: dataset@test_dataset=ANYmal_Test,dataset@train_dataset=ANYmal_SSL,dataset@val_dataset=ANYmal_Val,loss=ssio_dv_1_3_9_27_81,modality.use_aux_imu=false,modality.use_joints=false,network=airio_imu_only,train.batch=256,train.checkpoint_every_epochs=10,train.decay=1.0e-5,train.ema=true,train.epoch=120,train.lr=5.0e-5,train.zupt_gate=imu,train.zupt_sched_enable=false,train.zupt_weight=1.0
|
| 136 |
+
id: ???
|
| 137 |
+
num: ???
|
| 138 |
+
config_name: train_ssio
|
| 139 |
+
env_set: {}
|
| 140 |
+
env_copy: []
|
| 141 |
+
config:
|
| 142 |
+
override_dirname:
|
| 143 |
+
kv_sep: '='
|
| 144 |
+
item_sep: ','
|
| 145 |
+
exclude_keys: []
|
| 146 |
+
runtime:
|
| 147 |
+
version: 1.3.2
|
| 148 |
+
version_base: '1.3'
|
| 149 |
+
cwd: .
|
| 150 |
+
config_sources:
|
| 151 |
+
- path: hydra.conf
|
| 152 |
+
schema: pkg
|
| 153 |
+
provider: hydra
|
| 154 |
+
- path: ./Config
|
| 155 |
+
schema: file
|
| 156 |
+
provider: main
|
| 157 |
+
- path: ./Config
|
| 158 |
+
schema: file
|
| 159 |
+
provider: hydra.searchpath in main
|
| 160 |
+
- path: ''
|
| 161 |
+
schema: structured
|
| 162 |
+
provider: schema
|
| 163 |
+
output_dir: ./experiments/train_ssio/ANYmal_SSL/20260914_000850
|
| 164 |
+
choices:
|
| 165 |
+
loss: ssio_dv_1_3_9_27_81
|
| 166 |
+
scheduler: constant
|
| 167 |
+
optimizer: adamw
|
| 168 |
+
network: airio_imu_only
|
| 169 |
+
dataset@test_dataset: ANYmal_Test
|
| 170 |
+
dataset@val_dataset: ANYmal_Val
|
| 171 |
+
dataset@train_dataset: ANYmal_SSL
|
| 172 |
+
hydra/env: default
|
| 173 |
+
hydra/callbacks: null
|
| 174 |
+
hydra/job_logging: default
|
| 175 |
+
hydra/hydra_logging: default
|
| 176 |
+
hydra/hydra_help: default
|
| 177 |
+
hydra/help: default
|
| 178 |
+
hydra/sweeper: basic
|
| 179 |
+
hydra/launcher: basic
|
| 180 |
+
hydra/output: default
|
| 181 |
+
verbose: false
|
grandtour/ssio/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- network=airio_imu_only
|
| 2 |
+
- modality.use_joints=false
|
| 3 |
+
- modality.use_aux_imu=false
|
| 4 |
+
- loss=ssio_dv_1_3_9_27_81
|
| 5 |
+
- train.zupt_gate=imu
|
| 6 |
+
- train.zupt_weight=1.0
|
| 7 |
+
- train.zupt_sched_enable=false
|
| 8 |
+
- train.lr=5.0e-5
|
| 9 |
+
- train.decay=1.0e-5
|
| 10 |
+
- train.batch=256
|
| 11 |
+
- train.ema=true
|
| 12 |
+
- train.epoch=120
|
| 13 |
+
- train.checkpoint_every_epochs=10
|
| 14 |
+
- dataset@train_dataset=ANYmal_SSL
|
| 15 |
+
- dataset@val_dataset=ANYmal_Val
|
| 16 |
+
- dataset@test_dataset=ANYmal_Test
|