mmdetection
https://github.com/open-mmlab/mmdetection
Python
OpenMMLab Detection Toolbox and Benchmark
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- Issues
- In mmdetection3.0, memory keep increasing fast in the training process of DETR-like object detectors, while in mmdetection2.52.2 the memory increases slowly.
- Can't train RTMDet on images with width or height greater than 1024
- mmdetection AttributeError: 'ConfigDict' object has no attribute 'data'
- ValueError: class `EpochBasedTrainLoop` in mmengine/runner/loops.py: class `CocoDataset` in mmdet/datasets/coco.py: need at least one array to concatenate
- Fail to test RTMDet_ins
- [Feature] add featuremap_vis from mmyolo
- how to get val_loss on main branch
- "binary marks" must have the same shape as the image
- MlflowLogger: Invalid metric name: 'val/AR@100'. Names may only contain alphanumerics, underscores (_), dashes (-), periods (.), spaces ( ), and slashes (/)
- Training Error when using Negative / background only Images
- Docs
- Python not yet supported