I find the chainercv project : https://github.com/chainer/chainercv I have read this code, the comment and code is excellent, but few detail still confuse me. I wonder: Does this code the exactly same logic as https://github.com/rbgirshick/py-faster-rcnn Which is orignal caffe implement.
Does chainercv project the full copy of original faster R-CNN caffe code?
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I wrote that code. The logic is not completely the same as py-faster-rcnn, but the difference is very subtle. Also, you can see more details here.
https://github.com/chainer/chainercv/tree/master/examples/faster_rcnn#difference-in-the-runtime-behaviour-from-the-original-code
The changes are necessary for consistency in the library. As a side note, I made that change after completely replicating the behavior of py-faster-rcnn using Chainer. I checked correctness by checking outputs of my own code and py-faster-rcnn to be within the margin of numerical errors.