Comments (1)
Add a section in ReadMe explaining how to add custom augs to the registry for further usage
from open-metric-learning.
Related Issues (20)
- Move more requirements to optional HOT 2
- Make an example of using OML for texts HOT 10
- Add support for EVA-CLIP model HOT 2
- Introduce casting yaml Pipeline's config to a Config class
- Make shortcuts for imports HOT 13
- Train cars196 dataset with Pairwise postprocessing meet problem HOT 6
- Is it possible to give an example of directly outputting the classification results? HOT 4
- An error will be reported during the metric calculation process of self-created data set HOT 2
- Test errors on own dataset HOT 11
- [OML for Reid] High cmc, map scores during training but average performance during inference on test set. HOT 20
- How to save mode checkpoint for best metric values during training (+ validation) pipeline HOT 3
- Support audio HOT 2
- RetrievalResults when separated query gallery
- Integrate vector databases with `RetrievalResults`
- Support multi-modal items HOT 1
- Add metric: area under global precision-recall curve HOT 1
- Implement score normalization technique as a post-processor
- Implement geometric verification | OmniGlue as a retrieval post-processor HOT 1
- Question: Negative sampling without labels? HOT 3
- Can I export models to ONNX? HOT 2
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from open-metric-learning.