| --- |
| license: apache-2.0 |
| library_name: libreyolo |
| pipeline_tag: image-to-image |
| tags: |
| - colorization |
| - image-restoration |
| - ddcolor |
| - libreyolo |
| --- |
| |
| # LibreDDColorl-restore |
|
|
| DDColor automatic image colorization with the larger ConvNeXt-L encoder, |
| converted for LibreYOLO's existing `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. |
|
|
| ```python |
| from libreyolo import LibreYOLO |
| |
| model = LibreYOLO("LibreDDColorl-restore.pt") |
| result = model("black-and-white.jpg") |
| result.restored.save("colorized.png") |
| ``` |
|
|
| ## Provenance |
|
|
| - Source repository: [piddnad/ddcolor_modelscope](https://huggingface.co/piddnad/ddcolor_modelscope) |
| - Revision: `060f67494e31883a4b13cb27f889f3154847ada4` |
| - Source file: `pytorch_model.bin`, 911,914,869 bytes |
| - Source SHA-256: `d81711971ec59200da26d5e8a1afae8dd3778d495ea8ad7a7dadc769f403f7e7` |
| - Converted SHA-256: `e6a4125ce726c256b8efaba8352ab4f369b04c0c452eb5ad08f8cb509ab4fa8b` |
| - Architecture source: [piddnad/DDColor](https://github.com/piddnad/DDColor) at `2adb63f2656ac41cbdf7b894cddd94121a3faf13` |
|
|
| Learned tensors are unchanged. Conversion adds LibreYOLO v1 checkpoint |
| metadata. Network parity is exact (`max_abs_diff=0`), and the complete |
| OpenCV Lab pipeline is pixel-identical to the pinned reference. |
|
|
| ## License |
|
|
| The exact source artifact is publisher-declared Apache-2.0. See |
| [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE). The ImageNet data caveat |
| above is retained as provenance and is not erased by conversion. |
|
|
