基于v4l2摄像头的图片采集
时间: 2023-06-02 20:07:58 浏览: 91
好的,我可以回答这个问题。基于v4l2摄像头的图片采集是一种常见的图像采集方式。v4l2是Linux内核中的一种视频设备驱动程序接口,它提供了对摄像头等视频设备的控制和访问。通过使用v4l2接口,可以在Linux系统下对摄像头进行图像采集,得到原始图像数据。这些数据可以用于各种图像处理应用,比如图像识别、视频监控等。希望我的回答能满足您的需求。
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基于v4l2摄像头的图片采集代码
以下是一个基于v4l2摄像头的图片采集的示例代码,仅供参考:
```c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>
#include <sys/mman.h>
#include <sys/ioctl.h>
#include <linux/videodev2.h>
#define WIDTH 640
#define HEIGHT 480
#define BUFFER_COUNT 4
struct buffer {
void *start;
size_t length;
};
int main(int argc, char *argv[])
{
int fd;
struct v4l2_capability cap;
struct v4l2_format fmt;
struct v4l2_requestbuffers reqbuf;
struct v4l2_buffer buf;
enum v4l2_buf_type type;
struct buffer *buffers;
unsigned char *image;
int i, j;
// 打开摄像头设备文件
fd = open("/dev/video0", O_RDWR);
if (fd < 0) {
perror("open");
return -1;
}
// 查询摄像头设备信息
if (ioctl(fd, VIDIOC_QUERYCAP, &cap) < 0) {
perror("ioctl");
return -1;
}
// 设置摄像头格式
memset(&fmt, 0, sizeof(fmt));
fmt.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
fmt.fmt.pix.width = WIDTH;
fmt.fmt.pix.height = HEIGHT;
fmt.fmt.pix.pixelformat = V4L2_PIX_FMT_YUYV;
fmt.fmt.pix.field = V4L2_FIELD_INTERLACED;
if (ioctl(fd, VIDIOC_S_FMT, &fmt) < 0) {
perror("ioctl");
return -1;
}
// 分配摄像头缓冲区
memset(&reqbuf, 0, sizeof(reqbuf));
reqbuf.count = BUFFER_COUNT;
reqbuf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
reqbuf.memory = V4L2_MEMORY_MMAP;
if (ioctl(fd, VIDIOC_REQBUFS, &reqbuf) < 0) {
perror("ioctl");
return -1;
}
// 映射摄像头缓冲区
buffers = calloc(reqbuf.count, sizeof(*buffers));
for (i = 0; i < reqbuf.count; i++) {
memset(&buf, 0, sizeof(buf));
buf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
buf.memory = V4L2_MEMORY_MMAP;
buf.index = i;
if (ioctl(fd, VIDIOC_QUERYBUF, &buf) < 0) {
perror("ioctl");
return -1;
}
buffers[i].length = buf.length;
buffers[i].start = mmap(NULL, buf.length, PROT_READ | PROT_WRITE, MAP_SHARED, fd, buf.m.offset);
if (buffers[i].start == MAP_FAILED) {
perror("mmap");
return -1;
}
}
// 启动摄像头采集
for (i = 0; i < reqbuf.count; i++) {
memset(&buf, 0, sizeof(buf));
buf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
buf.memory = V4L2_MEMORY_MMAP;
buf.index = i;
if (ioctl(fd, VIDIOC_QBUF, &buf) < 0) {
perror("ioctl");
return -1;
}
}
type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
if (ioctl(fd, VIDIOC_STREAMON, &type) < 0) {
perror("ioctl");
return -1;
}
// 采集图像数据
buf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
buf.memory = V4L2_MEMORY_MMAP;
if (ioctl(fd, VIDIOC_DQBUF, &buf) < 0) {
perror("ioctl");
return -1;
}
image = buffers[buf.index].start;
// 处理图像数据
// TODO: 在这里进行图像处理,例如图像增强、降噪、裁剪等
// 保存图像数据到文件
FILE *fp = fopen("image.raw", "wb");
fwrite(image, 1, WIDTH * HEIGHT * 2, fp);
fclose(fp);
// 停止摄像头采集
if (ioctl(fd, VIDIOC_STREAMOFF, &type) < 0) {
perror("ioctl");
return -1;
}
// 释放缓冲区
for (i = 0; i < reqbuf.count; i++) {
munmap(buffers[i].start, buffers[i].length);
}
free(buffers);
// 关闭摄像头设备文件
close(fd);
return 0;
}
```
该示例代码演示了如何基于v4l2摄像头采集图像数据,并将采集的数据保存为文件。需要注意的是,该示例代码中没有进行任何图像处理,具体的图像处理操作可以根据需要在代码中添加。同时,具体的设备文件路径和摄像头参数设置需要根据实际情况进行修改。
ubuntu V4L2摄像头采集图片 代码
以下是一个简单的示例代码,可以在Ubuntu上使用V4L2接口来捕获摄像头图像并保存为JPEG图片。
```c++
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>
#include <sys/ioctl.h>
#include <sys/mman.h>
#include <linux/videodev2.h>
#include <jpeglib.h>
#define VIDEO_DEVICE "/dev/video0"
#define IMAGE_WIDTH 640
#define IMAGE_HEIGHT 480
#define IMAGE_QUALITY 80
int main(int argc, char **argv) {
int fd = open(VIDEO_DEVICE, O_RDWR);
if (fd == -1) {
perror("Failed to open video device");
return 1;
}
struct v4l2_capability cap;
if (ioctl(fd, VIDIOC_QUERYCAP, &cap) == -1) {
perror("Failed to query video device capabilities");
close(fd);
return 1;
}
struct v4l2_format format;
format.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
format.fmt.pix.width = IMAGE_WIDTH;
format.fmt.pix.height = IMAGE_HEIGHT;
format.fmt.pix.pixelformat = V4L2_PIX_FMT_MJPEG;
format.fmt.pix.field = V4L2_FIELD_NONE;
if (ioctl(fd, VIDIOC_S_FMT, &format) == -1) {
perror("Failed to set video device format");
close(fd);
return 1;
}
struct v4l2_requestbuffers reqbuf;
reqbuf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
reqbuf.memory = V4L2_MEMORY_MMAP;
reqbuf.count = 1;
if (ioctl(fd, VIDIOC_REQBUFS, &reqbuf) == -1) {
perror("Failed to request video device buffers");
close(fd);
return 1;
}
struct v4l2_buffer buffer;
buffer.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
buffer.memory = V4L2_MEMORY_MMAP;
buffer.index = 0;
if (ioctl(fd, VIDIOC_QUERYBUF, &buffer) == -1) {
perror("Failed to query video device buffer");
close(fd);
return 1;
}
void *mem = mmap(NULL, buffer.length, PROT_READ | PROT_WRITE, MAP_SHARED, fd, buffer.m.offset);
if (mem == MAP_FAILED) {
perror("Failed to map video device buffer");
close(fd);
return 1;
}
if (ioctl(fd, VIDIOC_STREAMON, &buffer.type) == -1) {
perror("Failed to start video device stream");
munmap(mem, buffer.length);
close(fd);
return 1;
}
struct jpeg_compress_struct cinfo;
struct jpeg_error_mgr jerr;
unsigned char *jpeg_data;
unsigned long jpeg_size;
cinfo.err = jpeg_std_error(&jerr);
jpeg_create_compress(&cinfo);
jpeg_mem_dest(&cinfo, &jpeg_data, &jpeg_size);
cinfo.image_width = IMAGE_WIDTH;
cinfo.image_height = IMAGE_HEIGHT;
cinfo.input_components = 3;
cinfo.in_color_space = JCS_RGB;
jpeg_set_defaults(&cinfo);
jpeg_set_quality(&cinfo, IMAGE_QUALITY, true);
if (ioctl(fd, VIDIOC_QBUF, &buffer) == -1) {
perror("Failed to queue video device buffer");
munmap(mem, buffer.length);
close(fd);
return 1;
}
if (ioctl(fd, VIDIOC_DQBUF, &buffer) == -1) {
perror("Failed to dequeue video device buffer");
munmap(mem, buffer.length);
close(fd);
return 1;
}
jpeg_start_compress(&cinfo, true);
JSAMPROW row_pointer[1];
for (int y = 0; y < IMAGE_HEIGHT; y++) {
row_pointer[0] = (JSAMPROW)((unsigned char *)mem + y * buffer.bytesused);
jpeg_write_scanlines(&cinfo, row_pointer, 1);
}
jpeg_finish_compress(&cinfo);
FILE *fp = fopen("image.jpg", "wb");
if (fp == NULL) {
perror("Failed to open image file");
munmap(mem, buffer.length);
close(fd);
return 1;
}
fwrite(jpeg_data, jpeg_size, 1, fp);
fclose(fp);
jpeg_destroy_compress(&cinfo);
munmap(mem, buffer.length);
close(fd);
return 0;
}
```
注意:这个示例代码仅仅是一个基础的例子,实际使用时需要考虑更多的情况,例如错误处理、缓冲区管理、图像分辨率、图像格式、图像质量等。此外,还需要安装libjpeg库,否则会编译错误。
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