shicai
shicai
please refer to: https://github.com/shicai/MobileNet-Caffe/issues/1
are you using NVIDIA caffe?
there are only 3 blobs for batch norm layers. please see: https://github.com/BVLC/caffe/blob/master/src/caffe/layers/batch_norm_layer.cpp
please check the path of your caffe, and the codes of BN layers.
what is your result? solver prototxt file has no effect on the val accuracy of the pretrained model.
training models on ImageNet is somehow very tricky. you'd better train some simple models first.
please see: https://github.com/shicai/MobileNet-Caffe/issues/1
you need to write your own api to convert keras models into caffe format.
something went wrong with image preprocessing and post-processing. - add `transformer.set_input_scale('data', 0.017)` - add these codes to the end of your prototxt: `layer { name: "prob" type: "Softmax" bottom: "fc7"...
I am not sure what the problem is. have you changed the kernel numbers for some layers?