| # 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 | |