查看参数值的代码

#-*-coding:utf-8-*-import caffeimport sysimport numpy as npimport getoptimport re   if __name__ =="__main__":	opts,args = getopt.getopt(sys.argv[1:],"m:w:")	MODEL_FILE = "test-13.prototxt"	PRETRAIN_FILE = "n36_faster_rcnn__binarizedmodel_svd_fc6_512_fc7_512.caffemodel"	#process	params_txt = 'params.txt'	pf = open(params_txt, 'w')	print MODEL_FILE	print PRETRAIN_FILE        net = caffe.Net (MODEL_FILE, PRETRAIN_FILE, caffe.TEST)        for param_name in net.params.keys():		if re.match('conv.',param_name) or re.match('fc.',param_name):			print 'zhaodezan'                	weight = net.params[param_name][0].data                	bias = net.params[param_name][1].data               		 #保存开始                	pf.write(param_name)                	pf.write('\n')               		 #保存weight                	pf.write('\n' + param_name + '_weight:\n\n')                	weight.shape = (-1, 1)                	for w in weight:                        	pf.write('%ff, ' % w)                	#保存bias                	pf.write('\n\n' + param_name + '_bias:\n\n')               		bias.shape = (-1, 1)                	for b in bias:                        	pf.write('%ff, ' % b)                	pf.write('\n\n')        pf.close