方法一:
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import os import cv2 as cv import 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:
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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
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#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; } |
以上就是python将YUV420P文件转PNG图片格式的两种方法的详细内容,更多关于python将YUV420P文件转PNG的资料请关注服务器之家其它相关文章!
原文链接:https://www.cnblogs.com/iuyy/p/14238301.html