本文介绍了三个基于TensorFlow实现Faster RCNN的开源项目：Detectron，smallcorgi/Faster-RCNN_TF和CharlesShang/TFFRCNN。Detectron是Facebook AI Research的系统，支持包括Mask R-CNN在内的先进目标检测算法。smallcorgi/Faster-RCNN_TF是Faster RCNN的实验性TensorFlow实现。CharlesShang/TFFRCNN则对代码进行了重构，使其更易理解和修改。
1.Detectron(Caffe2)
https://github.com/facebookresearch/Detectron
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Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework.
At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection, Mask R-CNN, Detecting and Recognizing Human-Object Interactions, Focal Loss for Dense Object Detection,
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