为什么PIL的Image.fromarray（）会使我的图像颜色失真？ [英] Why is PIL's Image.fromarray() distorting my image color?

问题描述

我正在使用以下代码为mp4视频生成缩略图：

I am generating thumbnails for mp4 videos using the following code:

import cv2 as cv
from PIL import Image 

vidcap = cv.VideoCapture(videoPath)
vidcap.set(cv.CAP_PROP_POS_MSEC, millisecond)

#Turn video frame into numpy ndarray
success, image = vidcap.read()
cv.imwrite('fromImage.jpg', image)   #line to be replaced

从高预算，专业拍摄的视频生成的缩略图如下所示：

不幸的是，在我的应用程序上下文中，我将无法直接将图像框架写入文件。相反，我必须将cv生成的图像数组转换为PIL图像，然后从那里开始。看起来像这样：

The thumbnail generated from a high budget, professionally shot video looks like this: Unfortunately in my application context, I will not be able to write the image frame directly to a file. Instead I must convert the image array generated by cv into a PIL image and then go from there. It looks something like this:

# Turn numpy ndarray int PIL image
img = Image.fromarray(image)
img.save('fromArray.jpg')    #Saving it for stackoverflow

但输出来自同一mp4视频的缩略图完全失真，因为它似乎已交换红色和蓝色，看起来像这样：
谁是罪魁祸首？图像失真吗？

But the outputted thumbnail from the same mp4 video is completely distorted as it seems to have swapped red and blue and looks like this: Who or what is the culprit in this image distortion?

推荐答案

> https://note.nkmk.me/en/python-opencv-bgr-rgb-cvtcolor/

imageRGB = cv.cvtColor(image, cv.COLOR_BGR2RGB)

img = Image.fromarray(imageRGB)

img.save('fromArray.jpg')

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