tools/deploy/Caffe/ReadMe.md

The Caffe in nn_tools Provides some convenient API

If there are some problem in parse your prototxt or caffemodel, Please replace the caffe.proto with your own version and compile it with command protoc --python_out ./ caffe.proto

caffe_net.py

Using from nn_tools.Caffe import caffe_net to import this model

Prototxt

• net=caffe_net.Prototxt(file_name) to open a prototxt file
• net.init_caffemodel(caffe_cmd_path='caffe') to generate a caffemodel file in the current work directory
  if your caffe cmd not in the $PATH, specify your caffe cmd path by the caffe_cmd_path kwargs.

Caffemodel

• net=caffe_net.Caffemodel(file_name) to open a caffemodel
• net.save_prototxt(path) to save the caffemodel to a prototxt file (not containing the weight data)
• net.get_layer_data(layer_name) return the numpy ndarray data of the layer
• net.set_layer_date(layer_name, datas) specify the data of one layer in the caffemodel .datas is normally a list of numpy ndarray [weights,bias]
• net.save(path) save the changed caffemodel

Functions for both Prototxt and Caffemodel

• net.add_layer(layer_params,before='',after='') add a new layer with Layer_Param object
• net.remove_layer_by_name(layer_name)
• net.get_layer_by_name(layer_name) or net.layer(layer_name) get the raw Layer object defined in caffe_pb2