Faster_RCNN_for_Open_Images_Dataset_Keras
Faster_RCNN_for_Open_Images_Dataset_Keras copied to clipboard
questions about changing the structure
hey, i am using your code to train my own dataset and it works really well, thanks a lot. i organized your code and added an extra feature extraction net to it (resnet) here https://github.com/shadow12138/faster-rcnn-keras
i am doing my graduation design, i wonder how i can improve the model a little. do you know ssd or yolo? they are one-stage detection systems, which do n+1 classification directly. faster r-cnn do the binary classification at the rpn (background or foreground), and then n classification at the classifier layer. i wonder if the rpn layer do the n + 1 classification like what is used in yolo and ssd, will faster r-cnn be faster?
thus i am now trying to cut the roi and classifier layer to make a new structure of faster r-cnn, but however i changed it, the shape is always incompatible. will you help me with it... @RockyXu66
Hey @shadow12138 can you help me through my issue #55 It is about directories in google colab and upload which file where!! I misunderstood.
it seemed like you have solved it. and No Such Directory error is always caused by wrong file path
you have solved it. and No Such Directory error is always caused by wrong file path
yeah I solved it. thanks