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自学教程:python将YUV420P文件转PNG图片格式的两种方法

51自学网 2021-10-30 23:07:18
  python
这篇教程python将YUV420P文件转PNG图片格式的两种方法写得很实用,希望能帮到您。

方法一:

import osimport cv2 as cvimport numpy as np# 读取yuv420p的一帧文件,并转化为png图片if __name__ == '__main__':  filepath = 'one_frame_of_highway.yuv'  binfile = open(filepath, 'rb')  size = os.path.getsize(filepath)  image_width = 352  image_hight = 288  image_y = [[0] * image_width for i in range(image_hight)]  image_u = [[0] * image_width for i in range(image_hight)]  image_v = [[0] * image_width for i in range(image_hight)]  for r in range(image_hight):    for c in range(image_width):      image_y[r][c] = binfile.read(1)[0]  Image_Y = np.array(image_y)  for r in range(int(image_hight / 2)):    for c in range(int(image_width / 2)):      pixel = binfile.read(1)[0]      image_u[2 * r + 0][2 * c + 0] = pixel      image_u[2 * r + 1][2 * c + 0] = pixel      image_u[2 * r + 0][2 * c + 1] = pixel      image_u[2 * r + 1][2 * c + 1] = pixel  Image_U = np.array(image_u)  for r in range(int(image_hight / 2)):    for c in range(int(image_width / 2)):      pixel = binfile.read(1)[0]      image_v[2 * r + 0][2 * c + 0] = pixel      image_v[2 * r + 0][2 * c + 1] = pixel      image_v[2 * r + 1][2 * c + 0] = pixel      image_v[2 * r + 1][2 * c + 1] = pixel  Image_V = np.array(image_v)  binfile.close()  compose = np.array([Image_Y, Image_V, Image_U]).transpose([1, 2, 0]).astype(np.uint8)  Image = cv.cvtColor(compose, cv.COLOR_YUV2RGB)  cv.imwrite("one_frame_of_highway.yuv.png", Image)

方法二:

 ffmpeg -s 352x288 -i one_frame_of_highway.yuv one_frame_of_highway.png

highway视频网址:http://trace.eas.asu.edu/yuv/index.html

附录:

将yuv文件转化为一帧帧yuv文件

#include <stdio.h>#include <fcntl.h>#include <zconf.h>#include <stdint.h>#include <strings.h>#include <stdlib.h>#include <string.h>#include <unistd.h>#include <errno.h>#include <sys/types.h>#include <sys/stat.h>int File_Size(int fd) {  struct stat st;  fstat(fd, &st);  return st.st_size;}int Frame_Size_Of_Cif() {  int width = 352;  int heigh = 288;  int Y_SIZE = width * heigh;  int U_SIZE = Y_SIZE / 4;  int V_SIZE = Y_SIZE / 4;  int Frame_SIZE = Y_SIZE + U_SIZE + V_SIZE;  return Frame_SIZE;}int Frames_Of_Cif_File(int fd) {  if (fd < 0) {    printf("Invalid FD!");    return -1;  }  int Frame_SIZE = Frame_Size_Of_Cif();  int fd_size = File_Size(fd);  return fd_size / Frame_SIZE;}void Abstract_Frame_From_CIF_File(int fd,char *Path_And_Prefix_Img,int Len) {  int Frame_SIZE = Frame_Size_Of_Cif();  char file[128];  memset(file,0,128);  memcpy(file,Path_And_Prefix_Img,Len);  uint8_t buf[Frame_SIZE];  int ret = -1;  int frames = 0;  while ((ret = read(fd, buf, Frame_SIZE))) {    frames += 1;    uint64_t len = strlen(file);    sprintf(file + len, "%d", frames);    len = strlen(file);    sprintf(file + len, "%s", ".yuv");    int fdw = open(file, O_RDWR | O_CREAT, 0777);    write(fdw, buf, ret);    memset(file,0,128);    memcpy(file,Path_And_Prefix_Img,Len);    close(fdw);  }  printf("Abstract %d frames!/n", frames);}int main() {  int fd = open("./yuv420p_352x288.yuv", O_RDONLY);  Abstract_Frame_From_CIF_File(fd,"/home/liu/Frames/Frames_",strlen("/home/liu/Frames/Frames_"));  close(fd);  return 0;}

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