First version of CascadeClassifier_GPU.
Only for VS2008 now. Sample for it. new NPP_staging for VS2008 only
This commit is contained in:
Anatoly Baksheev
193
samples/gpu/cascadeclassifier.cpp
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193
samples/gpu/cascadeclassifier.cpp
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// WARNING: this sample is under construction! Use it on your own risk.
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#include <opencv2/contrib/contrib.hpp>
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#include <opencv2/objdetect/objdetect.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <opencv2/gpu/gpu.hpp>
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#include <iostream>
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#include <iomanip>
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#include <stdio.h>
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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void help()
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{
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cout << "Usage: ./cascadeclassifier <cascade_file> <image_or_video_or_cameraid>\n"
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"Using OpenCV version " << CV_VERSION << endl << endl;
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}
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void DetectAndDraw(Mat& img, CascadeClassifier_GPU& cascade);
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String cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
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String nestedCascadeName = "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
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template<class T> void convertAndReseize(const T& src, T& gray, T& resized, double scale = 2.0)
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{
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if (src.channels() == 3)
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cvtColor( src, gray, CV_BGR2GRAY );
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else
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gray = src;
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Size sz(cvRound(gray.cols * scale), cvRound(gray.rows * scale));
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if (scale != 1)
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resize(gray, resized, sz);
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else
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resized = gray;
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}
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int main( int argc, const char** argv )
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{
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if (argc != 3)
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return help(), -1;
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if (cv::gpu::getCudaEnabledDeviceCount() == 0)
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return cerr << "No GPU found or the library is compiled without GPU support" << endl, -1;
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VideoCapture capture;
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string cascadeName = argv[1];
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string inputName = argv[2];
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cv::gpu::CascadeClassifier_GPU cascade_gpu;
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if( !cascade_gpu.load( cascadeName ) )
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return cerr << "ERROR: Could not load cascade classifier \"" << cascadeName << "\"" << endl, help(), -1;
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cv::CascadeClassifier cascade_cpu;
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if( !cascade_cpu.load( cascadeName ) )
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return cerr << "ERROR: Could not load cascade classifier \"" << cascadeName << "\"" << endl, help(), -1;
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Mat image = imread( inputName);
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if( image.empty() )
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if (!capture.open(inputName))
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{
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int camid = 0;
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sscanf(inputName.c_str(), "%d", &camid);
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if(!capture.open(camid))
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cout << "Can't open source" << endl;
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}
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namedWindow( "result", 1 );
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Size fontSz = cv::getTextSize("T[]", FONT_HERSHEY_SIMPLEX, 1.0, 2, 0);
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Mat frame, frame_cpu, gray_cpu, resized_cpu, faces_downloaded, frameDisp;
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vector<Rect> facesBuf_cpu;
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GpuMat frame_gpu, gray_gpu, resized_gpu, facesBuf_gpu;
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/* parameters */
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bool useGPU = true;
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double scale_factor = 2;
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bool visualizeInPlace = false;
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bool findLargestObject = false;
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printf("\t<space> - toggle GPU/CPU\n");
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printf("\tL - toggle lagest faces\n");
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printf("\tV - toggle visualisation in-place (for GPU only)\n");
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printf("\t1/q - inc/dec scale\n");
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int detections_num;
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for(;;)
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{
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if( capture.isOpened() )
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{
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capture >> frame;
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if( frame.empty())
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break;
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}
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(image.empty() ? frame : image).copyTo(frame_cpu);
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frame_gpu.upload( image.empty() ? frame : image);
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convertAndReseize(frame_gpu, gray_gpu, resized_gpu, scale_factor);
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convertAndReseize(frame_cpu, gray_cpu, resized_cpu, scale_factor);
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cv::TickMeter tm;
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tm.start();
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if (useGPU)
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{
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cascade_gpu.visualizeInPlace = visualizeInPlace;
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cascade_gpu.findLargestObject = findLargestObject;
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detections_num = cascade_gpu.detectMultiScale( resized_gpu, facesBuf_gpu );
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facesBuf_gpu.colRange(0, detections_num).download(faces_downloaded);
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}
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else /* so use CPU */
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{
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Size minSize = cascade_gpu.getClassifierSize();
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if (findLargestObject)
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{
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float ratio = (float)std::min(frame.cols / minSize.width, frame.rows / minSize.height);
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ratio = std::max(ratio / 2.5f, 1.f);
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minSize = Size(cvRound(minSize.width * ratio), cvRound(minSize.height * ratio));
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}
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cascade_cpu.detectMultiScale(resized_cpu, facesBuf_cpu, 1.2, 4, (findLargestObject ? CV_HAAR_FIND_BIGGEST_OBJECT : 0) | CV_HAAR_SCALE_IMAGE, minSize);
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detections_num = (int)facesBuf_cpu.size();
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}
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tm.stop();
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printf( "detection time = %g ms\n", tm.getTimeMilli() );
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if (useGPU)
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resized_gpu.download(resized_cpu);
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if (!visualizeInPlace || !useGPU)
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if (detections_num)
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{
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Rect* faces = useGPU ? faces_downloaded.ptr<Rect>() : &facesBuf_cpu[0];
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for(int i = 0; i < detections_num; ++i)
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cv::rectangle(resized_cpu, faces[i], Scalar(255));
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}
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Point text_pos(5, 25);
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int offs = fontSz.height + 5;
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Scalar color = CV_RGB(255, 0, 0);
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cv::cvtColor(resized_cpu, frameDisp, CV_GRAY2BGR);
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char buf[4096];
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sprintf(buf, "%s, FPS = %0.3g", useGPU ? "GPU" : "CPU", 1.0/tm.getTimeSec());
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putText(frameDisp, buf, text_pos, FONT_HERSHEY_SIMPLEX, 1.0, color, 2);
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sprintf(buf, "scale = %0.3g, [%d*scale x %d*scale]", scale_factor, frame.cols, frame.rows);
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putText(frameDisp, buf, text_pos+=Point(0,offs), FONT_HERSHEY_SIMPLEX, 1.0, color, 2);
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putText(frameDisp, "Hotkeys: space, 1, Q, L, V, Esc", text_pos+=Point(0,offs), FONT_HERSHEY_SIMPLEX, 1.0, color, 2);
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if (findLargestObject)
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putText(frameDisp, "FindLargestObject", text_pos+=Point(0,offs), FONT_HERSHEY_SIMPLEX, 1.0, color, 2);
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if (visualizeInPlace && useGPU)
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putText(frameDisp, "VisualizeInPlace", text_pos+Point(0,offs), FONT_HERSHEY_SIMPLEX, 1.0, color, 2);
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cv::imshow( "result", frameDisp);
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int key = waitKey( 5 );
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if( key == 27)
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break;
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switch (key)
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{
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case (int)' ': useGPU = !useGPU; printf("Using %s\n", useGPU ? "GPU" : "CPU");break;
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case (int)'v': case (int)'V': visualizeInPlace = !visualizeInPlace; printf("VisualizeInPlace = %d\n", visualizeInPlace); break;
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case (int)'l': case (int)'L': findLargestObject = !findLargestObject; printf("FindLargestObject = %d\n", findLargestObject); break;
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case (int)'1': scale_factor*=1.05; printf("Scale factor = %g\n", scale_factor); break;
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case (int)'q': case (int)'Q':scale_factor/=1.05; printf("Scale factor = %g\n", scale_factor); break;
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}
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}
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return 0;
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}
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