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https://github.com/jahongir7174/cascadercnn

CascadeRCNN implementation using PyTorch
https://github.com/jahongir7174/cascadercnn

cascade-rcnn instance-segmentation mixup mosaic object-detection pytorch swin-transformer

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CascadeRCNN implementation using PyTorch

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README

          

[CascadeRCNN](https://arxiv.org/abs/1906.09756) implementation using PyTorch

### Install

* `pip install mmcv-full==1.5.1`
* `pip install mmdet==2.24.1`

### Train

* `bash ./main.sh ./nets/exp01.py $ --train` for training, `$` is number of GPUs

### Results

| Detector | Backbone | Neck | LR Schedule | Box mAP | Mask mAP | Config |
|:-------------:|:--------:|:--------------:|:-----------:|--------:|---------:|-------:|
| Cascade R-CNN | Swin-T | FPN | 1x | - | - | exp01 |
| Cascade R-CNN | Swin-T | FPN | 3x | - | - | exp02 |
| Cascade R-CNN | Swin-T | FPN | 3x | - | - | exp03 |
| Cascade R-CNN | Swin-T | FPN | 3x | - | - | exp04 |
| Cascade R-CNN | Swin-T | PAFPN | 3x | - | - | exp05 |
| Cascade R-CNN | Swin-T | PAFPN + DyHead | 3x | - | - | exp06 |

### TODO

* [x] [exp01](./nets/exp01.py), default [Cascade R-CNN](https://arxiv.org/abs/1906.09756) detector
* [x] [exp02](./nets/exp02.py), added [MOSAIC](https://arxiv.org/abs/2004.10934) and [MixUp](https://arxiv.org/abs/1710.09412)
* [x] [exp03](./nets/exp03.py), added [GN](https://arxiv.org/abs/1803.08494) and [WS](https://arxiv.org/abs/1903.10520)
* [x] [exp04](./nets/exp04.py), added [PolyLoss](https://arxiv.org/abs/2204.12511)
* [x] [exp05](./nets/exp05.py), added [PAFPN](https://arxiv.org/abs/1803.01534)
* [x] [exp06](./nets/exp06.py), added [DyHead](https://arxiv.org/abs/2106.08322)

### Reference

* https://github.com/ultralytics/yolov5
* https://github.com/open-mmlab/mmdetection