Point cloud compression#270

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YodaEmbedding:pr/feat/pcc

Commits on Feb 2, 2024

fix rebase with master
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docs: add missing autodocs
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feat: compressai.typing.TTransform
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refactor: compressai.registry.transforms
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feat: fast EntropyBottleneck aux_loss minimization via bisection search
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feat: net optimizer
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feat: basic layers (Lambda, Reshape, Transpose, Interleave, etc.)
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chore(deps): einops, pandas, torch-geometric, tqdm
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chore(deps): pointops, pyntcloud [pointcloud]
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chore(deps): pyntcloud use PR with *.off header fix
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feat: compressai.registry.transforms torch_geometric
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feat: point cloud datasets (ModelNet, ShapeNet, S3DIS, SemanticKITTI)
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feat: point cloud transforms
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feat: point cloud losses
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feat: point cloud layers (pointnet, pointnet2, hrtzxf2022)
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feat: point cloud compression models
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fix: point cloud datasets optional dependencies
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fix: point cloud layers optional dependencies
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fix: point cloud losses optional dependencies
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feat: zoo.pointcloud_models [placeholder]
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feat: examples/train_pointcloud.py
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chore(deps): python_requires>=3.7
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Commits on Feb 3, 2024

update github workflow and gitlab-ci
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Commits on Feb 4, 2024

Commits on Feb 5, 2024

refactor: rename transforms.point -> transforms.pointcloud
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