当只有caffemodel反推prototxt网络结构
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#coding=utf-8
from caffe.proto import caffe_pb2
def toPrototxt(modelName, deployName):
with open(modelName, 'rb') as f:
caffemodel = caffe_pb2.NetParameter()
caffemodel.ParseFromString(f.read())
# 兼容新旧版本
# LayerParameter 消息中的 blobs 保存着可训练的参数
for item in caffemodel.layers:
item.ClearField('blobs')
for item in caffemodel.layer:
item.ClearField('blobs')
# print(caffemodel)
with open(deployName, 'w') as f:
f.write(str(caffemodel))
if __name__ == '__main__':
modelName = 'facenet_iter_14000.caffemodel'
deployName = 'facenet_deploy.prototxt'
toPrototxt(modelName, deployName)
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