Upload hoverdrop drop dataset
Browse files- README.md +75 -0
- test_0009.npz +3 -0
- test_0019.npz +3 -0
- train_0000.npz +3 -0
- train_0001.npz +3 -0
- train_0002.npz +3 -0
- train_0003.npz +3 -0
- train_0004.npz +3 -0
- train_0005.npz +3 -0
- train_0006.npz +3 -0
- train_0007.npz +3 -0
- train_0010.npz +3 -0
- train_0011.npz +3 -0
- train_0012.npz +3 -0
- train_0013.npz +3 -0
- train_0014.npz +3 -0
- train_0015.npz +3 -0
- train_0016.npz +3 -0
- train_0017.npz +3 -0
- val_0008.npz +3 -0
- val_0018.npz +3 -0
README.md
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---
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license: mit
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task_categories:
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- robotics
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tags:
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- drone
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- ballistics
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- ball-drop
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- simulation
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- domain-randomization
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pretty_name: HoverDrop Ballistic Drop Dataset
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size_categories:
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- 1K<n<10K
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---
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# HoverDrop Ballistic Drop Dataset
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Simulated point-mass ball drops for the **ballistics** half of LeDrone Track B
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([hoverdrop](https://github.com/edgarmoreaualix/LeDrone)). Each record is one
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drop: the conditions a release is solved from, the resulting landing, and a
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**top-down camera frame** rendered at the release pose.
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- **5,000 drops** total — Train: 4,000
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(16 shards) · Val: 500
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(2) · Test: 500
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(2)
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- Frames: `128x128x3` uint8, one per drop.
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## How it was generated
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A point mass with quadratic air drag in wind-relative air is integrated
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(semi-implicit Euler, 200 Hz) from a release state down to a flat ground plane.
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Conditions are randomized per drop: altitude AGL `U[5,40] m`; 40% exact hover and
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the rest moving (`U[0.5,12] m/s` horizontal at a random heading + `U[-2,2] m/s`
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vertical); wind `U[0,8] m/s` horizontal at a random heading + `U[-0.5,0.5]`
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vertical. The ball's mass (±10%) and drag coefficient (±20%) are randomized but
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**not recorded in the model inputs** — this unobserved variation sets the
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irreducible landing-error floor. The top-down frame is a nadir pinhole render
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over a procedural `trajplanner` terrain map (seed varies per drop). Sim only; no
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real flight data.
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## Schema
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Compressed `.npz` shards `{split}_{id}.npz`, one row per drop, deterministic
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80/10/10 split by shard id:
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| array | shape | dtype | meaning |
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|---------------|----------------|---------|---------|
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| `inputs` | `(n, 7)` | float32 | `[altitude_agl, vx,vy,vz, wx,wy,wz]` (DropNet inputs) |
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| `label` | `(n, 3)` | float32 | `[dx, dy, fall_time]` landing offset + fall time |
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| `traj` | `(n, L, 3)` | float32 | 20 Hz ball trajectory (padded) |
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| `traj_len` | `(n,)` | int32 | valid trajectory length |
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| `ball` | `(n, 3)` | float32 | TRUE ball params `[mass, cd, radius]` (unobserved) |
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| `drone_state` | `(n, 18)` | float32 | release pose the frame is rendered from |
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| `target_xyz` | `(n, 3)` | float32 | true landing point (drawn disc) |
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| `map_seed` | `(n,)` | int32 | synthetic terrain seed |
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| `frames` | `(n, 128, 128, 3)` | uint8 | top-down render at release |
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## Usage
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```bash
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pip install "hoverdrop[hf] @ git+https://github.com/edgarmoreaualix/LeDrone.git#subdirectory=hoverdrop"
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python scripts/download_dataset_hf.py --repo-id Ethgar/hoverdrop-drops-5k --out-dir data/drops5k
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```
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```python
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from hoverdrop.drops import DropDataset
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ds = DropDataset("data/drops5k", split="train", load_frames=False) # DropNet training
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x, y = ds[0] # inputs (7,), label (3,)
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rec = DropDataset("data/drops5k", "test", load_frames=True).record(0) # + frame
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```
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## License
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MIT. Independent clean-room simulation; not affiliated with any third party.
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version https://git-lfs.github.com/spec/v1
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size 1796871
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test_0019.npz
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train_0000.npz
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train_0001.npz
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train_0003.npz
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train_0013.npz
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train_0014.npz
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train_0016.npz
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val_0018.npz
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