海思3559怎么处理BT656的数据

海思3559处理BT656数据的方式可以通过以下步骤来实现:

1. 在海思3559的软件开发环境中，使用相应的库函数或者驱动程序来实现对BT656数据的读取和处理。

2. 在程序中，可以使用相应的结构体来存储BT656数据的相关信息，例如数据的宽度、高度、帧率等。

3. 在处理BT656数据的过程中，可以使用相应的算法或者函数来对数据进行转换、压缩或者其他处理。

4. 在处理完成后，可以使用相应的函数将处理后的数据输出到相应的设备或者存储介质中。

相关问题

海思输出bt656视频流代码

以下是一个基本的海思输出BT656视频流的代码：

#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <fcntl.h>
#include <sys/mman.h>
#include <unistd.h>
#include <asm/ioctl.h>
#include <linux/fb.h>
#include <linux/videodev2.h>

#define VIDEO_DEVICE "/dev/video0"
#define VIDEO_WIDTH 640
#define VIDEO_HEIGHT 480
#define VIDEO_FORMAT V4L2_PIX_FMT_YUYV
#define FB_DEVICE "/dev/fb0"

int main(void) {
    int fd_fb = open(FB_DEVICE, O_RDWR);
    if(fd_fb == -1) {
        printf("Error: could not open framebuffer device.\n");
        return -1;
    }

    struct fb_var_screeninfo var_info;
    if(ioctl(fd_fb, FBIOGET_VSCREENINFO, &var_info) == -1) {
        printf("Error: could not get variable screen info.\n");
        close(fd_fb);
        return -1;
    }

    uint32_t width = var_info.xres;
    uint32_t height = var_info.yres;
    uint32_t bytes_per_pixel = var_info.bits_per_pixel / 8;

    uint32_t fb_size = width * height * bytes_per_pixel;
    uint8_t *fbp = (uint8_t *)mmap(0, fb_size, PROT_READ | PROT_WRITE, MAP_SHARED, fd_fb, 0);
    if(fbp == MAP_FAILED) {
        printf("Error: could not mmap framebuffer device.\n");
        close(fd_fb);
        return -1;
    }

    int fd_video = open(VIDEO_DEVICE, O_RDWR);
    if(fd_video == -1) {
        printf("Error: could not open video device.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        return -1;
    }

    struct v4l2_capability cap;
    if(ioctl(fd_video, VIDIOC_QUERYCAP, &cap) == -1) {
        printf("Error: could not query video device capabilities.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    struct v4l2_format fmt;
    fmt.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
    fmt.fmt.pix.width = VIDEO_WIDTH;
    fmt.fmt.pix.height = VIDEO_HEIGHT;
    fmt.fmt.pix.pixelformat = VIDEO_FORMAT;
    fmt.fmt.pix.field = V4L2_FIELD_ANY;
    if(ioctl(fd_video, VIDIOC_S_FMT, &fmt) == -1) {
        printf("Error: could not set video format.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    struct v4l2_requestbuffers req;
    req.count = 1;
    req.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
    req.memory = V4L2_MEMORY_MMAP;
    if(ioctl(fd_video, VIDIOC_REQBUFS, &req) == -1) {
        printf("Error: could not request video buffers.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    struct v4l2_buffer buf;
    buf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
    buf.memory = V4L2_MEMORY_MMAP;
    buf.index = 0;
    if(ioctl(fd_video, VIDIOC_QUERYBUF, &buf) == -1) {
        printf("Error: could not query video buffer.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    void *video_buffer = mmap(NULL, buf.length, PROT_READ | PROT_WRITE, MAP_SHARED, fd_video, buf.m.offset);
    if(video_buffer == MAP_FAILED) {
        printf("Error: could not mmap video buffer.\n");
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    if(ioctl(fd_video, VIDIOC_STREAMON, &buf.type) == -1) {
        printf("Error: could not start video streaming.\n");
        munmap(video_buffer, buf.length);
        munmap(fbp, fb_size);
        close(fd_fb);
        close(fd_video);
        return -1;
    }

    // Write BT656 video data to framebuffer
    uint8_t *video_data = (uint8_t *)video_buffer;

    for(uint32_t y = 0; y < height; y++) {
        for(uint32_t x = 0; x < width; x++) {
            uint32_t fb_offset = (y * width + x) * bytes_per_pixel;
            uint32_t video_offset = (y * width + x) * 2;

            // Convert YCbCr to RGB
            uint8_t y_data = *(video_data + video_offset);
            uint8_t cb_data = *(video_data + video_offset + 1);
            uint8_t cr_data = *(video_data + video_offset + 3);
            uint8_t r = y_data + 1.402 * (cr_data - 128);
            uint8_t g = y_data - 0.34414 * (cb_data - 128) - 0.71414 * (cr_data - 128);
            uint8_t b = y_data + 1.772 * (cb_data - 128);

            *(fbp + fb_offset) = r;
            *(fbp + fb_offset + 1) = g;
            *(fbp + fb_offset + 2) = b;
        }
    }

    if(ioctl(fd_video, VIDIOC_STREAMOFF, &buf.type) == -1) {
        printf("Error: could not stop video streaming.\n");
    }

    munmap(video_buffer, buf.length);
    munmap(fbp, fb_size);
    close(fd_fb);
    close(fd_video);
    return 0;
}

这个代码假设你的海思芯片已经捕获了BT656格式的视频流，并将其输出到/dev/video0设备上。它将使用 mmap() 函数来映射视频和帧缓冲设备，并将YCbCr格式的视频转换为RGB格式并写入帧缓冲设备。

海思3559交叉编译opencvku

海思3559交叉编译OpenCV库的步骤如下：

1. 下载并安装交叉编译工具链，例如gcc-arm-linux-gnueabihf等。

2. 下载并解压OpenCV源码包和opencv_contrib扩展包。

3. 进入OpenCV源码目录，创建一个新的目录作为编译目录，例如build。

4. 进入build目录，执行cmake命令配置编译参数，例如：

   cmake -DCMAKE_TOOLCHAIN_FILE=/path/to/toolchainfile -DOPENCV_EXTRA_MODULES_PATH=/path/to/opencv_contrib/modules ..

其中，/path/to/toolchainfile是交叉编译工具链的路径，/path/to/opencv_contrib/modules是opencv_contrib扩展包中modules目录的路径。

5. 执行make命令进行编译：

   make

6. 编译完成后，执行make install命令安装OpenCV库：

   make install

完成以上步骤后，您就可以在海思3559开发板上使用交叉编译的OpenCV库了。