env.yml

name: mini-viewer
channels:
  - conda-forge
  - nodefaults
dependencies:
  - python=3.10
  - pip>=24
  - setuptools>=69
  - wheel
  - git
  - ffmpeg
  - pip:
      # CUDA-capable PyTorch build. This same env can run CPU paths with --device cpu.
      - "--index-url https://download.pytorch.org/whl/cu124"
      - "--extra-index-url https://pypi.org/simple"
      - "--extra-index-url https://docs.gsplat.studio/whl/pt24cu124"
      # PyTorch / CUDA 12.4 runtime.
      - torch==2.4.1
      - torchvision==0.19.1
      # CUDA Gaussian rasterization backend. Lazy-imported by the app.
      - gsplat==1.5.3+pt24cu124
      # Core viewer / data / rendering stack.
      - numpy>=1.26,<2.3
      - plyfile>=1.0
      - pillow>=10.0
      - imageio[ffmpeg]>=2.34
      - matplotlib>=3.8
      - scikit-learn>=1.4
      - opencv-python>=4.9
      - viser>=1.0.15,<2
      - nerfview>=0.1.3
      - packaging>=24
      # Query encoders: SigLIP2, CLIP, and DINOv2 are loaded lazily.
      - open-clip-torch>=2.24
      - transformers>=4.49,<5
      - sentencepiece>=0.2
      - protobuf>=4.25
      - safetensors>=0.4
      - huggingface-hub>=0.24
      - hf-xet>=1.0
      # Lightweight release/dev checks.
      - tomli>=2.0
      - pyyaml>=6.0
      - pytest>=8
      - ruff>=0.6