python滴啊用caffe时的小坑

在使用caffe的python接口时，

如下，如果标黄的部分不加上的话，两次调用该函数，后面的会将前面的返回值覆盖掉，也就是fea1与fea2相等，但是fea1_ori会保留原来的fea1

解决方法为使用fea1_ori或者加上标黄对的copy即可；

def apply_model(image, net, filename):

  net.blobs['data'].data[...] = image

  output = net.forward()

  feat_vector = (net.blobs['norm2'].data[0]).copy()

  feat_vector = np.squeeze(feat_vector)

  return (feat_vector)

#调用

    fea1 = apply_model(img1, net, image_name)

    fea1_ori = fea1.copy()

    print "fea1 is ", fea1

    fea2 = apply_model(img2, net, image_name)

    print "fea1 is ", fea1

    print "fea2 is ", fea2

    print "fea1_ori is ", fea1_ori