helper functions.py

def preprocess_img(path):
    print "preprocess: " + path
    i = load_img(path,target_size=(img_nrows,img_ncols))
    i = img_to_array(i)
    i = np.expand_dims(i,axis=0)
    i = vgg16.preprocess_input(i)
    return i

def deprocess_img(i):
    i = i.reshape((3,img_nrows,img_ncols))
    i = i.transpose((1,2,0))
    i[:,:,0] += 103.939
    i[:,:,1] += 116.779
    i[:,:,2] += 123.68
    i = i[:,:,::-1]
    i = np.clip(i,0,255).astype('uint8')
    return i