I have a pre-trained image classification model saved in caffe, the model is expected to get grayscale(one channel) images. I want to use this model in a tool that only provides input of RGB(three channels) to the model. It is not possible to change the way this tool provides images so I thought of adding a layer before the input
Tag: caffe
Incomparable weight shape between caffe and tensorflow / keras
I am trying to convert a caffe model to keras, I have successfully been able to use both MMdnn and even caffe-tensorflow. The output I have are .npy files and .pb files. I have not had much luck with the .pb files, so I stuck to .npy files which contain the weights and biases. I have reconstructed an mAlexNet network