使用方法：

　3840*2160是.yuv数据的分辨率

　data.raw为yuv格式的raw数据

　cv：显示

　out.png  不显示，存储的文件名

python3 yuv_2_rgb.py data.raw cv 3840 2160

或

python3 yuv_2_rgb.py data.raw out.png 3840 2160

源码 yuv_2_rgb.py：

import os
import sys
import cv2
import numpy as np

input_name = sys.argv[1]
output_name = sys.argv[2]
img_width = int(sys.argv[3])
img_height = int(sys.argv[4])


with open(input_name, "rb") as src_file:
    raw_data = np.fromfile(src_file, dtype=np.uint8, count=img_width*img_height*2)
    im = raw_data.reshape(img_height, img_width, 2)

    rgb = cv2.cvtColor(im, cv2.COLOR_YUV2BGR_YUYV)

    if output_name != 'cv':
        cv2.imwrite(output_name, rgb)
    else:
        cv2.imshow('', rgb)
        cv2.waitKey(0)

参考：

Machine vision – Thinking ToastersPosts about Machine vision written by Piotr Goslawskihttps://thinkingtoasters.com/category/machine-vision/

yuvio/README.md at main · labradon/yuvio · GitHubPython package for reading and writing uncompressed yuv image and video data. - yuvio/README.md at main · labradon/yuviohttps://github.com/labradon/yuvio/blob/main/README.md

YUV Colorspacehttps://softpixel.com/~cwright/programming/colorspace/yuv/