实现faster RCNN的开源项目梳理

1.Detectron(Caffe2)

https://github.com/facebookresearch/Detectron

14863 stars

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, Non-local Neural Networks, Learning to Segment Every Thing, Data Distillation: Towards Omni-Supervised Learning, DensePose: Dense Human Pose Estimation In The Wild, and Group Normalization.

Detectron可以下载很多facebook训练好的模型，但是需要将caffee模型转化为tensorflow模型，不过这方面网上的代码还是蛮多的。

2.smallcorgi/Faster-RCNN_TF(Tensorflow)

https://github.com/smallcorgi/Faster-RCNN_TF

1466 stars

This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network.For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun.

3.CharlesShang/TFFRCNN

https://github.com/CharlesShang/TFFRCNN

This is an experimental Tensor Flow implementation of Faster RCNN (TFFRCNN), mainly based on the work of smallcorgi and rbgirshick. I have re-organized the libraries under lib path, making each of python modules independent to each other, so you can understand, re-write the code easily.

For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun.