mmdetection
https://github.com/open-mmlab/mmdetection
Python
OpenMMLab Detection Toolbox and Benchmark
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- Issues
- Confusion matrix displayed erro
- ValueError: class `ConcatDataset` in mmengine/dataset/dataset_wrapper.py: The meta information of the 2-th dataset does not match meta information of the first dataset
- single_gpu_test() error (mmdetection 2.9)
- How to compute mAP of the test dataset in mmdetection 2.x?
- Inference Speed Slow
- batch size on single device
- in mmdetection, how to validate ours coco dataset is correct ？ what's the order?
- No module named 'mmdet.core'
- ValueError: Input contains NaN, infinity or a value too large for dtype('float32').
- can mmdetection support MNN
- Docs
- Python not yet supported