OpenCV2 IMWRITE正在写入黑色图像

我正在和OpenCV2纠缠不清的神经系统转移…在cv2.imshow(“输出”,输出)中,我可以说出我的图片。但当我用cv2.imwrite将输出写入文件时(“my_file.jpg”,输出)。是因为我的文件扩展名错误吗?但是,当我确实喜欢cv2.imwrite(“my_file.jpg”,input)时,它会显示我的原始输入图片。有什么想法吗?提前谢谢。

# import the necessary packages
from __future__ import print_function
import argparse

import time
import cv2
import imutils

import numpy as np
from imutils.video import VideoStream

# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required=True,
    help="neural style transfer model")
ap.add_argument("-i", "--image", required=True,
    help="input image to apply neural style transfer to")

args = vars(ap.parse_args())

# load the neural style transfer model from disk
print("[INFO] loading style transfer model")
net = cv2.dnn.readNetFromTorch(args["model"])

# load the input image, resize it to have a width of 600 pixels, and
# then grab the image dimensions
image = cv2.imread(args["image"])
image = imutils.resize(image, width=600)
(h, w) = image.shape[:2]

# construct a blob from the image, set the input, and then perform a
# forward pass of the network
blob = cv2.dnn.blobFromImage(image, 1.0, (w, h),
    (103.939, 116.779, 123.680), swapRB=False, crop=False)
net.setInput(blob)
start = time.time()
output = net.forward()
end = time.time()

# reshape the output tensor, add back in the mean subtraction, and
# then swap the channel ordering
output = output.reshape((3, output.shape[2], output.shape[3]))
output[0] += 103.939
output[1] += 116.779
output[2] += 123.680
output /= 255.0
output = output.transpose(1, 2, 0)

# show information on how long inference took
print("[INFO] neural style transfer took {:.4f} seconds".format(
    end - start))

# show the images
cv2.imshow("Input", image)
cv2.imshow("Output", output)
cv2.waitKey(0)
cv2.imwrite("dogey.jpg", output)

只有最后4行代码必须处理imshow和imwrite,所有行在尝试修改输出图片之前。