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- Dockerfile: build the full PanDORA env on CUDA 11.7 (torch 2.0.1+cu117, pinned via a global PIP_CONSTRAINT so nothing upgrades torch to a driver-incompatible CUDA build), tiny-cuda-nn v1.6, pyequilib 0.5.6, numpy<2, viser 0.0.16, and Blender. Removes the unused COLMAP/SfM stack, caps compile parallelism (MAKE_JOBS), and sets PYTHONPATH for lantern_scripts. - docker/build_and_run.sh: build the image (tunable CUDA_VERSION/MAKE_JOBS) and run the pipeline or an interactive GPU shell, mounting the repo + data. - docker/run_pandora_pipeline.sh: fixed two-stage PanDORA training pipeline. - docker/download_scenes.sh: download PanDORA dataset scenes by name. - README.md: rewrite as a simple 4-step Docker quick start; point advanced users to README-pandora.md / README-hdrnerfacto.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>