python将YUV420P文件转PNG图片格式

2021-01-08 04:29

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标签:memset   class   only   htm   main   col   sprintf   bsp   void   

方法一:

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:

 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 
#include 
#include 
#include 
#include 
#include 
#include string.h>
#include 
#include 
#include 
#include 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;
}

 

python将YUV420P文件转PNG图片格式

标签:memset   class   only   htm   main   col   sprintf   bsp   void   

原文地址:https://www.cnblogs.com/iuyy/p/14238301.html


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