FoundationPerception/requirements.txt at foundationperception · MMintLab/FoundationPerception · GitHub

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# FoundationPerception Requirements
# Recommended: Create conda environment first, then pip install
# conda create -n foundationperception python=3.9
# conda activate foundationperception

# PyTorch (install first with CUDA support)
# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
torch>=2.0.0
torchvision>=0.15.0
torchaudio>=2.0.0

# Core dependencies
numpy>=1.26.0
scipy>=1.12.0
opencv-python>=4.9.0
opencv-contrib-python>=4.9.0
pillow>=10.0.0
trimesh>=4.2.0
open3d>=0.18.0
matplotlib>=3.9.0

# Deep learning utilities
einops>=0.7.0
timm>=0.9.0
transformers>=4.40.0
accelerate>=1.0.0
safetensors>=0.4.0
huggingface-hub>=0.20.0

# Config and logging
omegaconf>=2.3.0
hydra-core>=1.3.0
tqdm>=4.65.0
coloredlogs>=15.0.0

# 3D and rendering
nvdiffrast>=0.3.0
pytorch3d>=0.7.0
pyrender>=0.1.45
pyglet>=1.5.0
moderngl>=5.0.0

# Scientific computing
scikit-learn>=1.4.0
scikit-image>=0.22.0
pandas>=2.0.0

# Flash attention (optional, improves performance)
flash-attn>=2.0.0

# Additional utilities
h5py>=3.10.0
imageio>=2.34.0
imageio-ffmpeg>=0.6.0
plyfile>=1.0.0
pymeshfix>=0.17.0

# Development
pytest>=8.0.0
black>=24.0.0