提高OpenCV中的摄像头捕获分辨率

在我的C/C++程序中,我使用OpenCV从我的网络摄像头捕获图像.相机(罗技快IM)可以在分辨率捕捉320×240,640×480和1280×960.但是,由于一些奇怪的原因,OpenCV只给我分辨率为320x240的图像.使用带有其他分辨率值的cvSetCaptureProperty()更改分辨率的调用不起作用.如何使用我的网络摄像头以其他可能的分辨率捕获图像？

我在Windows下使用openCV 1.1pre1(Windows下这个版本的openCv默认使用videoinput库).

通过这些说明,我可以设置相机分辨率.请注意,我调用旧的cvCreateCameraCapture而不是cvCaptureFromCam.

capture = cvCreateCameraCapture(cameraIndex);

cvSetCaptureProperty( capture, CV_CAP_PROP_FRAME_WIDTH, 640 );

cvSetCaptureProperty( capture, CV_CAP_PROP_FRAME_HEIGHT, 480 );


videoFrame = cvQueryFrame(capture);

我用罗技,Trust和飞利浦网络摄像头对它进行了测试

似乎没有解决方案.分辨率可提高到640×480使用这个技巧的共享lifebelt77.以下是转载的细节:

添加到highgui.h:

#define CV_CAP_PROP_DIALOG_DISPLAY 8
#define CV_CAP_PROP_DIALOG_FORMAT 9
#define CV_CAP_PROP_DIALOG_SOURCE 10
#define CV_CAP_PROP_DIALOG_COMPRESSION 11
#define CV_CAP_PROP_FRAME_WIDTH_HEIGHT 12

将函数icvSetPropertyCAM_VFW添加到cvcap.cpp:

static int icvSetPropertyCAM_VFW( CvCaptureCAM_VFW* capture, int property_id, double value )
{
    int result = -1;
    CAPSTATUS capstat;
    CAPTUREPARMS capparam;
    BITMAPINFO btmp;

    switch( property_id )
    {
        case CV_CAP_PROP_DIALOG_DISPLAY:
            result = capDlgVideoDisplay(capture->capWnd);
            //SendMessage(capture->capWnd,WM_CAP_DLG_VIDEODISPLAY,0,0);
            break;

        case CV_CAP_PROP_DIALOG_FORMAT:
            result = capDlgVideoFormat(capture->capWnd);
            //SendMessage(capture->capWnd,WM_CAP_DLG_VIDEOFORMAT,0,0);
            break;

        case CV_CAP_PROP_DIALOG_SOURCE:
            result = capDlgVideoSource(capture->capWnd);
            //SendMessage(capture->capWnd,WM_CAP_DLG_VIDEOSOURCE,0,0);
            break;

        case CV_CAP_PROP_DIALOG_COMPRESSION:
            result = capDlgVideoCompression(capture->capWnd);
            break;

        case CV_CAP_PROP_FRAME_WIDTH_HEIGHT:
            capGetVideoFormat(capture->capWnd, &btmp, sizeof(BITMAPINFO));
            btmp.bmiHeader.biWidth = floor(value/1000);
            btmp.bmiHeader.biHeight = value-floor(value/1000)*1000;
            btmp.bmiHeader.biSizeImage = btmp.bmiHeader.biHeight *
            btmp.bmiHeader.biWidth * btmp.bmiHeader.biPlanes *
            btmp.bmiHeader.biBitCount / 8;
            capSetVideoFormat(capture->capWnd, &btmp, sizeof(BITMAPINFO));
            break;

        default:
            break;
    }

    return result;
}

并编辑captureCAM_VFW_vtable,如下所示:

static CvCaptureVTable captureCAM_VFW_vtable =
{
6,
(CvCaptureCloseFunc)icvCloseCAM_VFW,
(CvCaptureGrabFrameFunc)icvGrabFrameCAM_VFW,
(CvCaptureRetrieveFrameFunc)icvRetrieveFrameCAM_VFW,
(CvCaptureGetPropertyFunc)icvGetPropertyCAM_VFW,
(CvCaptureSetPropertyFunc)icvSetPropertyCAM_VFW, // was NULL
(CvCaptureGetDescriptionFunc)0
};

现在重建了highgui.dll.

我之前在linux中完成了图像处理,并跳过了OpenCV的内置摄像头功能,因为它(如你所发现的)不完整.

根据您的操作系统,您可以通过正常渠道直接访问硬件,而不是通过openCV.如果您使用的是Linux,那么video4linux或video4linux2应该可以让您轻松访问USB网络摄像头,并且可以使用libavc1394进行火线.根据设备和您遵循的示例代码的质量,您应该能够在一两个小时内使用所需的参数运行设备.

编辑添加:如果是Windows,你就是自己的.我想这并不困难,但我从来没有这样做过.

我强烈建议使用VideoInput lib,它支持任何DirectShow设备(甚至同时支持多个设备),并且更易于配置.你将花费五分钟来玩OpenCV.

检查此票:https: //code.ros.org/trac/opencv/ticket/376

"解决方案是使用较新的基于libv4l的包装器.

安装libv4l-dev(这是在Ubuntu中调用的方式)

重新运行cmake,你会看到"V4L/V4L2:使用libv4l"

重新运行.现在分辨率可以改变.在MBP上进行了内置测试."

这使用Ubuntu为我修复它,并且可能也适合你.

代码我终于在Python中工作了一次Aaron Haun指出我需要在使用之前定义set函数的参数.

#Camera_Get_Set.py
#By Forrest L. Erickson of VRX Company Inc. 8-31-12.
#Opens the camera and reads and reports the settings.
#Then tries to set for higher resolution.
#Workes with Logitech C525 for resolutions 960 by 720 and 1600 by 896


import cv2.cv as cv
import numpy

CV_CAP_PROP_POS_MSEC = 0
CV_CAP_PROP_POS_FRAMES = 1
CV_CAP_PROP_POS_AVI_RATIO = 2
CV_CAP_PROP_FRAME_WIDTH = 3
CV_CAP_PROP_FRAME_HEIGHT = 4
CV_CAP_PROP_FPS = 5
CV_CAP_PROP_POS_FOURCC = 6
CV_CAP_PROP_POS_FRAME_COUNT = 7
CV_CAP_PROP_BRIGHTNESS = 8
CV_CAP_PROP_CONTRAST = 9
CV_CAP_PROP_SATURATION = 10
CV_CAP_PROP_HUE = 11

CV_CAPTURE_PROPERTIES = tuple({
CV_CAP_PROP_POS_MSEC,
CV_CAP_PROP_POS_FRAMES,
CV_CAP_PROP_POS_AVI_RATIO,
CV_CAP_PROP_FRAME_WIDTH,
CV_CAP_PROP_FRAME_HEIGHT,
CV_CAP_PROP_FPS,
CV_CAP_PROP_POS_FOURCC,
CV_CAP_PROP_POS_FRAME_COUNT,
CV_CAP_PROP_BRIGHTNESS,
CV_CAP_PROP_CONTRAST,
CV_CAP_PROP_SATURATION,
CV_CAP_PROP_HUE})

CV_CAPTURE_PROPERTIES_NAMES = [
"CV_CAP_PROP_POS_MSEC",
"CV_CAP_PROP_POS_FRAMES",
"CV_CAP_PROP_POS_AVI_RATIO",
"CV_CAP_PROP_FRAME_WIDTH",
"CV_CAP_PROP_FRAME_HEIGHT",
"CV_CAP_PROP_FPS",
"CV_CAP_PROP_POS_FOURCC",
"CV_CAP_PROP_POS_FRAME_COUNT",
"CV_CAP_PROP_BRIGHTNESS",
"CV_CAP_PROP_CONTRAST",
"CV_CAP_PROP_SATURATION",
"CV_CAP_PROP_HUE"]


capture = cv.CaptureFromCAM(0)

print ("\nCamera properties before query of frame.")
for i in range(len(CV_CAPTURE_PROPERTIES_NAMES)):
#    camera_valeus =[CV_CAPTURE_PROPERTIES_NAMES, foo]
    foo = cv.GetCaptureProperty(capture, CV_CAPTURE_PROPERTIES[i])
    camera_values =[CV_CAPTURE_PROPERTIES_NAMES[i], foo]
#    print str(camera_values)
    print str(CV_CAPTURE_PROPERTIES_NAMES[i]) + ": " + str(foo)


print ("\nOpen a window for display of image")
cv.NamedWindow("Camera", 1)
while True:
    img = cv.QueryFrame(capture)
    cv.ShowImage("Camera", img)
    if cv.WaitKey(10) == 27:
        break
cv.DestroyWindow("Camera")


#cv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH, 1024)
#cv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT, 768)
cv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH, 1600)
cv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT, 896)


print ("\nCamera properties after query and display of frame.")
for i in range(len(CV_CAPTURE_PROPERTIES_NAMES)):
#    camera_valeus =[CV_CAPTURE_PROPERTIES_NAMES, foo]
    foo = cv.GetCaptureProperty(capture, CV_CAPTURE_PROPERTIES[i])
    camera_values =[CV_CAPTURE_PROPERTIES_NAMES[i], foo]
#    print str(camera_values)
    print str(CV_CAPTURE_PROPERTIES_NAMES[i]) + ": " + str(foo)


print ("/nOpen a window for display of image")
cv.NamedWindow("Camera", 1)
while True:
    img = cv.QueryFrame(capture)
    cv.ShowImage("Camera", img)
    if cv.WaitKey(10) == 27:
        break
cv.DestroyWindow("Camera")