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CVTH3PE/pyproject.toml
crosstyan 3cc93e5eae feat: Enhance play notebook with new data structures and visualization utilities
- Added new TypedDict classes for camera parameters, including Resolution, Intrinsic, and Extrinsic.
- Updated dataset reading logic to accommodate new camera parameters structure.
- Introduced functions for reading datasets by port and visualizing whole body keypoints.
- Improved the affinity matrix calculation logic in the camera module.
- Updated dependencies in pyproject.toml to include Plotly and SciPy for enhanced functionality.
2025-04-16 18:53:05 +08:00

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655 B
TOML

[project]
name = "cvth3pe"
version = "0.1.0"
description = "Implementation-of-Cross-View-Tracking-for-Multi-Human-3D-Pose-Estimation-at-over-100-FPS"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"anyio>=4.8.0",
"awkward>=2.7.4",
"beartype>=0.20.0",
"cvxopt>=1.3.2",
"jax[cuda12]>=0.5.1",
"jaxtyping>=0.2.38",
"matplotlib>=3.10.1",
"opencv-python-headless>=4.11.0.86",
"orjson>=3.10.15",
"pandas>=2.2.3",
"plotly>=6.0.1",
"pyarrow>=19.0.1",
"scipy>=1.15.2",
"torch>=2.6.0",
"torchvision>=0.21.0",
"typeguard>=4.4.2",
]
[dependency-groups]
dev = [
"jupyter>=1.1.1",
]