PY script

from skimage import io as skio
import caffe
import numpy as np

caffe.set_mode_gpu()
caffe.set_device(0)

param_fn =  'C:/Users/apple/models/aaa/_cityyyyyy_iter_200000.caffemodel'
net_fn   = 'C:/Users/apple/models/100d.prototxt'

net = caffe.Net(net_fn,param_fn,caffe.TEST)
transformer = caffe.io.Transformer({'data': [1,3,227,227]})
transformer.set_transpose('data', (2,0,1))
transformer.set_channel_swap('data', (2,1,0))



def feed_back(src,dst):

    net.forward()

    src.data[:] = np.interp(dst.data,(dst.data.min(),dst.data.max()),(src.data.min(),src.data.max()))

    net.backward()


src = net.blobs['data']
dst = net.blobs['conv1_a_t']
feed_back(src,dst)

num_loops = 20

img = skio.imread('C:/users/apple/walk/aaaaaa.jpg')

src.data[:] = transformer.preprocess('data',img)

for loops in range(num_loops):
    feed_back(src,dst)

result = transformer.deprocess('data',net.blobs['conv1_a_t'].data)

norm_result = np.interp(result,(result.min(),result.max()),(0,255)).astype('uint8') #final image

skio.imsave('out.jpg',norm_result)