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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("LibreDDColorl-restore.pt")
4result = model("black-and-white.jpg")
5result.restored.save("colorized.png")060f67494e31883a4b13cb27f889f3154847ada4pytorch_model.bin, 911,914,869 bytesd81711971ec59200da26d5e8a1afae8dd3778d495ea8ad7a7dadc769f403f7e7e6a4125ce726c256b8efaba8352ab4f369b04c0c452eb5ad08f8cb509ab4fa8b2adb63f2656ac41cbdf7b894cddd94121a3faf13max_abs_diff=0), and the complete
OpenCV Lab pipeline is pixel-identical to the pinned reference.