MaskRCNN

Todo

• Mask RCNN Resnet 50 FPN
• Mask RCNN MobilenetV3 Large FPN
• Mask RCNN MobilenetV2
• Faster RCNN Resnet 50 FPN
• Faster RCNN MobilenetV3 FPN
• mAP
• COCO Evaluator
• Support Labelme format
• Support Altheia format
• Support Pascal VOC format

Usage

Training

CUDA_VISIBLE_DEVICE=0,1,2,3 python main.py --config configs/... --num-epochs <x> --gpu-indices 0,1,2,3

Testing

CUDA_VISIBLE_DEVICE=0,1,2,3 python -m flame configs/...

Papers

1. Fast RCNN
2. Faster RCNN: Towards Real-Time Object Detection with Region Proposal Networks
3. Mask RCNN

Documents

1. The best explanation, I've ever read.

https://www.telesens.co/2018/03/11/object-detection-and-classification-using-r-cnns/

2. Pytorch Setting.

https://pytorch.org/vision/stable/models.html#object-detection-instance-segmentation-and-person-keypoint-detection

3. RoI Align vs RoI Pooling

• RoI Pooling

https://erdem.pl/2020/02/understanding-region-of-interest-ro-i-pooling

• RoI Align

https://erdem.pl/2020/02/understanding-region-of-interest-part-2-ro-i-align

4. Non-maxmimum Suppression (NMS)

https://learnopencv.com/non-maximum-suppression-theory-and-implementation-in-pytorch/

5. mAP

https://github.com/rafaelpadilla/Object-Detection-Metrics