nikopueringer/CorridorKey2.0
- Source
- GitHub
- First trending
- Category
- Media
- GitHub stars
- 404
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.
What it does
CorridorKey 2.0 is a video matting model and Python inference tool for artists separating subjects from green or blue screen footage. It takes video or an image sequence, with an optional first-frame matte or full hint video. It outputs a transparency mask and foreground color, with optional review composites and OpenEXR sequences. It combines features from C-RADIO, MoGe and RVM, processes overlapping time windows, then predicts final-resolution frames. Hints identify the intended subject, while predictions from earlier overlapping windows can carry that guidance forward. Starting requires an NVIDIA CUDA GPU, CUDA-enabled PyTorch, ffmpeg and downloaded model assets. Long or crowded shots can drift, smaller windows reduce temporal context, and managed color sources require preparation outside the tool. Its custom license distinguishes commercial footage production from restricted software integration, resale and paid inference services.
License
Custom license Custom or non-standard license. Read the license file before any reuse.
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