161 MB

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1 contributor

History: 177 commits

jskvrna

a55a0be 11 months ago

.gitattributes

1.52 kB
initial commit 11 months ago
.gitignore

81 Bytes
Adds ade_segmentations/ to .gitignore 11 months ago
README.md

31 Bytes
initial commit 11 months ago
color_visu.py

5.52 kB
Adds color visualization script 11 months ago
end_to_end.py

40.6 kB
x 11 months ago
end_to_end_deeper.py

42.4 kB
x 11 months ago
fast_pointnet.py

21.1 kB
Reduces global feature vector size 11 months ago
fast_pointnet_class.py

14.3 kB
Adds PointNet class for classification 11 months ago
fast_pointnet_class_10d.py

14.4 kB
Adds 10D PointNet classification model 11 months ago
fast_pointnet_class_10d_2048.py

14.4 kB
As we are extracting larger amount of points we should also add and extract more points. 11 months ago
fast_pointnet_class_10d_deeper.py

15.9 kB
Implements PointNet for edge classification 11 months ago
fast_pointnet_class_deeper.py

19 kB
Adds PointNet class for classification 11 months ago
fast_pointnet_v2.py

24.4 kB
x 11 months ago
fast_voxel.py

23.8 kB
Adds PointNet classification for edge detection 11 months ago
find_best_results.py

3.83 kB
x 11 months ago
fully_deep.py

42.8 kB
Updates data directory path 11 months ago
generate_pcloud_dataset.py

1.61 kB
Generates point cloud dataset from HoHo25k. 11 months ago
gestalt_color_legend.png

26.6 kB
Adds color visualization script 11 months ago
hoho_cpu.batch

720 Bytes
x 11 months ago
hoho_cpu_gpu_intel.batch

765 Bytes
Adds SLURM script for GPU training on Intel cluster 11 months ago
hoho_gpu.batch

782 Bytes
Improves training efficiency and configuration 11 months ago
hoho_gpu_class.batch

808 Bytes
Updates output paths for different training runs 11 months ago
hoho_gpu_class_10d.batch

818 Bytes
Updates output paths for different training runs 11 months ago
hoho_gpu_class_10d_2048.batch

827 Bytes
As we are extracting larger amount of points we should also add and extract more points. 11 months ago
hoho_gpu_class_10d_deeper.batch

845 Bytes
xx 11 months ago
hoho_gpu_voxel.batch

783 Bytes
Adds initial 3D CNN voxel implementation 11 months ago
iterate.batch

1.45 kB
x 11 months ago
pnet.pth
Detected Pickle imports (4)
- "torch.FloatStorage",
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict"
What is a pickle import?
93.4 MB
xet

Add of checkpoints 11 months ago
pnet_class.pth

67.3 MB
xet

Add of checkpoints 11 months ago
predict.py

131 kB
x 11 months ago
predict_end.py

2.85 kB
Adjusts ADE and Gestalt segmentation processing 11 months ago
script.py

3.6 kB
x 11 months ago
train.py

7.04 kB
x 11 months ago
train_end.py

2.89 kB
x 11 months ago
train_pnet.py

340 Bytes
Improves training setup and parameters 11 months ago
train_pnet_class.py

358 Bytes
Configures job submission and updates import 11 months ago
train_pnet_class_cluster.py

415 Bytes
Updates output paths for different training runs 11 months ago
train_pnet_class_cluster_10d.py

427 Bytes
Updates output paths for different training runs 11 months ago
train_pnet_class_cluster_10d_2048.py

437 Bytes
As we are extracting larger amount of points we should also add and extract more points. 11 months ago
train_pnet_class_cluster_10d_deeper.py

441 Bytes
xx 11 months ago
train_pnet_cluster.py

364 Bytes
Improves training setup and parameters 11 months ago
train_voxel.py

420 Bytes
Adds initial 3D CNN voxel implementation 11 months ago
train_voxel_cluster.py

430 Bytes
Adds initial 3D CNN voxel implementation 11 months ago
utils.py

1.08 kB
Adds inference script and utils 11 months ago
visu.py

21.4 kB
Improves 3D wireframe prediction and extraction 11 months ago

Detected Pickle imports (4)