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src=\"png/demo.png\" /\u003e\u003c/p\u003e\n\n## Environment\n\n- Python 3.6\n- PyTorch 1.1\n- OpenCV\n\n## Performance\n\n|         Model          | maskrcnn |                          converted                           | train(TODO) |\n| :--------------------: | :------: | :----------------------------------------------------------: | :---------: |\n| RetinaNet_R-50-FPN_1x  |   36.3   | [36.3](https://drive.google.com/open?id=1edT78Boy6SA3EdSKvJB9sR72KShSIg2e) |             |\n| RetinaNet_R-101-FPN_1x |   38.5   | [38.5](https://drive.google.com/open?id=1Qrwx4PaxQJHnV_R2H8HV8QK0P6IyTi9a) |             |\n\n## Demo\n\n```shell\n$ cd scripts\n$ python demo.py [--config-file ../configs/retina_resnet50_v1b_coco.yaml] [--images ../png/biking.jpg]\n```\n\n## Eval\n\n```shell\n$ cd scripts\n$ python eval.py [--config-file ../configs/retina_resnet50_v1b_coco.yaml]\n```\n\n## Train\n\n```shell\n$ cd scripts\n$ export NGPUS=4\n$ python -m torch.distributed.launch --nproc_per_node=$NGPUS train.py [--config-file ../configs/retina_resnet50_v1b_coco.yaml] [--skip-test false]\n```\n\n\u003e You can modify training and test setting in `configs/xxx.yaml` and `configs/defaults.py` \n\n\n\n## TODO\n\n- [ ] Add freeze backbone\n- [ ] Add training results","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fretinanet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facecoooool%2Fretinanet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fretinanet/lists"}