mmdetection
https://github.com/open-mmlab/mmdetection
Python
OpenMMLab Detection Toolbox and Benchmark
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- Issues
- AssertionError: Results do not correspond to current coco set
- EfficientDet as part of the core packages
- The Absence of Additive Operations in detr_layers.py
- inference on images
- Evaluation with predictions instead of a model and checkpoint
- RTMDet different loss than official paper ?
- Instance Segmentation - Segmentation mAPs are zero while bbox mAPs have values
- what's the differece between using 'init_detector'+'inference_detector' and 'DetInferencer'
- i cannot handle this issue i need some help
- norm_eval=True 与 norm_cfg=dict(type='BN', requires_grad=True)的requires_grad=True 矛盾吧
- Docs
- Python not yet supported