pip install -r requirements.txt can pull CPU-only torchvision via
transitive dependencies (timm, ultralytics). Adding --extra-index-url
with the CUDA wheel index ensures all torch packages stay on the
correct build. Applied to both Linux and Windows setup scripts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove the "skip if torch exists" guard so re-running the setup script
fixes a broken torchvision install.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
timm and ultralytics depend on torchvision. When pip install -r
requirements.txt resolves them, it pulls torchvision from PyPI (CPU
build) which is incompatible with CUDA torch, causing
"operator torchvision::nms does not exist" at import time.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- setup-windows.ps1 and setup_env.sh detect nvidia-smi for CUDA vs CPU PyTorch
- Startup logs Python version, venv path, PyTorch/CUDA/GPU, scikit-learn, librosa
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Prefetch next video's audio while GPU processes current embeddings
- Don't cancel Scan All when switching files in playlist
- Windows setup script now creates venv, installs PyTorch + requirements
- 8cut.bat auto-detects venv
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- setup-windows.ps1: downloads libmpv DLL and ffmpeg, installs pip deps
- 8cut.bat: double-click launcher
- main.py: add_dll_directory for libmpv next to script (not just frozen)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ethanfel