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implementation using PyTorch\n\n### Install\n\n* `pip install mmcv-full`\n* `pip install mmdet`\n\n### Train\n\n* `bash ./main.sh ./nets/exp01.py $ --train` for training, `$` is number of GPUs\n\n### Test\n\n* `bash ./main.sh ./nets/exp01.py $ --test` for testing, `$` is number of GPUs\n\n### Results\n\n|   Detector   | Backbone | Neck | LR Schedule | Box mAP |                   Config |                                                                            Download |\n|:------------:|:--------:|:----:|:-----------:|--------:|-------------------------:|------------------------------------------------------------------------------------:|\n| Faster R-CNN |  Swin-T  | FPN  |     1x      |   42.86 | [exp01](./nets/exp01.py) | [model](https://github.com/jahongir7174/DualDet/releases/download/v0.0.1/exp01.pth) |\n|   DualDet    |  Swin-T  | FPN  |     1x      |   47.06 | [exp02](./nets/exp02.py) | [model](https://github.com/jahongir7174/DualDet/releases/download/v0.0.1/exp02.pth) |\n| 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