1、open the VFL device
int deviceHandle;
char *devicename="/dev/video0";
deviceHandle=open(devicename,O_RDWR);
if(deviceHandle==-1)
{//fail to open device
}
调用成功，返回一个文件标示符；调用失败，返回-1。
2、查询设备属性(optional)
这一步可以省略，但是如果程序用在不同的机器和设备上，作为一个通用程序，最好进行这一步。
struct video_capability capability;
if(ioctl(deviceHandle,VIDIOCGCAP,&capability)!=-1)
{//query was successful
}
else
{//query failed
}
至此video_capability结构已经被填充，可以通过
if((capability.type & VID_TYPE_CAPTURE)!=0)
{//device can capture video
}
else
{//this device cann't capture video,exit.
}
video_capability结构的字段列表可以查询VFL API文档。
3、列举视频源的可用频道(optional)
如果频道数固定，此步骤可省略；要列举可用频道数，你必须在step.2中查询设备能力属性，然后继续下面
struct video_channel queryChannel;
i = 0;
while (i < capability.channels)
{
queryChannel.channel = i;
if (ioctl (deviceHandle, VIDIOCGCHAN, &queryChannel) != -1)
{ // ioctl success, queryChannel contains information about this channel
printf ("%d. %s\n", queryChannel.channel, queryChannel.name);
}
else
{ // ioctl failure
}
++ i;
}
4、设置频道属性(optional)
如果不关心视频源来自哪个频道，此项可省略；
struct video_channel selectedChannel;
selectedChannel.channel=channelNumber;//用户定义的channelNumber
selectedChannel.norm=VIDEO_MODE_NTSC;//VIDEO_MODE_PAL|VIDEO_MODE_AUTO
if(ioctl(deviceHandle,VIDIOCSCHAN,&selectedChannel)==-1)
{//could not set channel
}
5、设置捕捉画面的高和宽(optional)
如果使用默认的图像尺寸，此项可省略；并不是每一种设备都支持尺寸裁减，所以要使用step2测试一下能力属性；假设已经完成step2，继续下面
if ((capability.type & VID_TYPE_SCALES) != 0)//经测试有点问题，每一个都不为0，但&后居然为0
{ // supports the ability to scale captured images
struct video_window captureWindow;
captureWindow.x = 0;
captureWindow.y = 0;
captureWindow.width = width;
captureWindow.height = height;
captureWindow.chromakey = 0;
captureWindow.flags = 0;
captureWindow.clips = 0;
captureWindow.clipcount = 0;
if (ioctl (deviceHandle, VIDIOCSWIN, &captureWindow) == -1)
{ // could not set window values for capture
}
}//至此设置好了你想要的画面尺寸大小，但某些设备不支持scale，所以未必都成功设置
6、获取捕捉画面的实际尺寸
由于某些设备不支持scale，设置未必成功，所以有必要查询一下实际的画面尺寸，如下：
int width;
int height;
struct video_window captureWindow;
if (ioctl (deviceHandle, VIDIOCGWIN, &captureWindow) == -1)
{ // could not obtain specifics of capture window
}
width = captureWindow.width;
height = captureWindow.height;
7、设置捕捉画面的palette和bit depth(可选)
下面首先获取默认值，然后再设置想要改变的字段：
// get image properties
struct video_picture imageProperties;
if (ioctl (deviceHandle, VIDIOCGPICT, &imageProperties) != -1)
{ // successfully retrieved the default image properties==成功获取默认值
// the following values are for requesting 8bit grayscale==改变为gray模式
imageProperties.depth = 8;
imageProperties.palette = VIDEO_PALETTE_GREY;
if (ioctl (deviceHandle, VIDIOCSPICT, &imageProperties) == -1)
{ // failed to set the image properties==不支持改变
}
}
深度depth和palette的值对应关系如下：
imageProperties.depth imageProperties.palette
8bit GREY VIDEO_PALETTE_GREY
15bit RGB 15 VIDEO_PALETTE_RGB555
16bit RGB 16 VIDEO_PALETTE_RGB565
24bit RGB 24 VIDEO_PALETTE_RGB24
32bit RGB 32 VIDEO_PALETTE_RGB32
8、获取捕捉画面实际的depth和palette
int depth;
int palette;
struct video_picture imageProperties;
if (ioctl (deviceHandle, VIDIOCGPICT, &imageProperties) == -1)
{ // failed to retrieve default image properties
}
depth = imageProperties.depth;
palette = imageProperties.palette;
比如要求24bit RGB模式，可进行如下校验：
if ((depth != 24) || (palette != VIDEO_PALETTE_RGB24))
{ // not a format our program supports
}
9、设置内存映射MMIO，把硬件视频buffer映射到内存空间
第一步，获取MMIO所需的信息：
struct video_mbuf memoryBuffer;
if (ioctl (deviceHandle, VIDIOCGMBUF, &memoryBuffer) == -1)
{ // failed to retrieve information about capture memory space
}
video_mbuf这个数据结构包括了内存映射区域的尺寸、捕捉设备缓存帧的数目、偏移地址；
第二步：获取内存映射区域的首地址
// obtain memory mapped area
char* memoryMap;
memoryMap = (char*)mmap (0, memoryBuffer.size, PROT_READ | PROT_WRITE, MAP_SHARED, deviceHandle, 0);
if ((int)memoryMap == -1)
{ // failed to retrieve pointer to memory mapped area
}
内存映射首地址和偏移确定了每个缓存帧的地址：
Buffered Frame 0 is located at: memoryMap + memoryBuffer.offsets[0]
Buffered Frame 1 is located at: memoryMap + memoryBuffer.offsets[1]
Buffered Frame 2 is located at: memoryMap + memoryBuffer.offsets[2]
etc...
The number of buffered frames is stored in memoryBuffer.frames.
捕捉过程的每一个buffer用到了video_mmap结构，定位、填充这个结构：
// allocate structures
struct video_mmap* mmaps;
mmaps = (struct video_mmap*)(malloc (memoryBuffer.frames * sizeof (struct video_mmap)));
// fill out the fields
int i = 0;
while (i < memoryBuffer.frames)
{
mmaps[i].frame = i;
mmaps[i].width = width;
mmaps[i].height = height;
mmaps[i].format = palette;
++ i;
}
//变量width、height、palette来自前面的设置过程。
10、使用MMIO进行捕捉
下面代码请求每一帧进行捕捉，除了最后一帧：
int i = 0;
while (i < (memoryBuffer.frames-1))
{
if (ioctl (deviceHandle, VIDIOCMCAPTURE, &mmaps[i]) == -1)
{ // capture request failed
}
++ i;
}
设置一个index追踪正在捕捉的帧：
int bufferIndex;
bufferIndex = memoryBuffer.frames-1;//为何初始值指向最后一帧？
写一个循环过程控制捕捉过程，返回当前可用帧的地址：
char* NextFrame()
{
// send a request to begin capturing to the currently indexed buffer
//向当前帧缓存发送采集请求
if (ioctl (deviceHandle, VIDIOCMCAPTURE, &mmaps[bufferIndex]) == -1)
{ // capture request failed
}
//移到下一帧
// move bufferIndex to the next frame
++ bufferIndex;
if (bufferIndex == memoryBuffer.frames)
{ // bufferIndex is indexing beyond the last buffer
// set it to index the first buffer
bufferIndex = 0;
}
//等待当前帧完成采集过程
// wait for the currently indexed frame to complete capture
if (ioctl (deviceHandle, VIDIOCSYNC, &mmaps[bufferIndex]) == -1)
{ // sync request failed
}
//当前帧采集完成，返回帧数据的地址
// return the address of the frame data for the current buffer index
return (memoryMap + memoryBuffer.offsets[bufferIndex]);
}//成功的调用NextFrame()，返回当前帧的地址
11、清理工作
//free the video_mmap structures
free(mmaps);
//unmap the capture memory
munmap(memoryMap,memoryBuffer.size);
12、关闭视频设备
close (deviceHandle);
(jacky)
