Tutorial by Examples

import caffe class My_Custom_Layer(caffe.Layer): def setup(self, bottom, top): pass def forward(self, bottom, top): pass def reshape(self, bottom, top): pass def backward(self, bottom, top): pass So important things ...
Ok, so now you have your layer designed! This is how you define it in your .prototxt file: layer { name: "LayerName" type: "Python" top: "TopBlobName" bottom: "BottomBlobName" python_param { module: "My_Custom_Layer_File" la...
You can define the layer parameters in the prototxt by using param_str. Once you've done it, here is an example on how you access these paremeters inside the layer class: def setup(self, bottom, top): params = eval(self.param_str) param1 = params["param1"] param2 = params.g...
In this example we will design a "measure" layer, that outputs the accuracy and a confusion matrix for a binary problem during training and the accuracy, false positive rate and false negative rate during test/validation. Although Caffe already has a Accuracy layer, sometimes you want some...
This example is a custom data layer, that receives a text file with image paths, loads a batch of images and preprocesses them. Just a quick tip, Caffe already has a big range of data layers and probably a custom layer is not the most efficient way if you just want something simple. My dataLayer.py...

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