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A simplified implemention of Faster R-CNN that replicate performance from origin paper

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could anyone write the Dependencies versions that successfully run training?

I wonder how to convert the pretrained model in checkpoints to onnx format.

i am confused and i cant give my answer during any research. roi pooling involves non-differentiable operations like indexing(quantizing the coordinate(like 3.5) to integers(3)). However why we detaching the proposals?...

i don't understand exactly approximate joint training method. i know RPN and detector merged as a one network during training. the forward path is started pre trained conv network and...

已经尝试的方法: loss.item()没问题 dataloader加载数据也没有增长数据。

in ProposalTargetCreator function in [creator_tool.py](https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/master/model/utils/creator_tool.py), why do we need to concatenate ROI and bbox at the beginning? `roi = np.concatenate((roi, bbox), axis=0)`

if i train my own data,where should i modify