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restore task. The network predicts Lab chroma at
512 square and reconstructs RGB on the source canvas using the original
luminance plane.Checkpoint license and training-data terms are separate. The publisher declares this exact artifact Apache-2.0. It was trained on ImageNet and has ImageNet-22K initialization lineage; ImageNet's access agreement limits dataset use to non-commercial research and education. No ImageNet data is included here. DDColor's Artistic checkpoint is intentionally excluded because it also uses undisclosed private data.
1from libreyolo import LibreYOLO
2
3model = LibreYOLO("LibreDDColort-restore.pt")
4result = model("black-and-white.jpg")
5result.restored.save("colorized.png")cf9fd99c1d7472689ec7413441c1b799a51866a3pytorch_model.bin, 220,372,845 bytes8a1277bc90a1bfbb6d2d83933a9a6bc821931879ca93e26e4fcec12165d41fce044254d616df5cc6935669ea05cf641dbd9af5b53a04096449b820d4e64c4a3d2adb63f2656ac41cbdf7b894cddd94121a3faf13max_abs_diff=0), and the complete
OpenCV Lab pipeline is pixel-identical to the pinned reference.