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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
- // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
- //
- // By downloading, copying, installing or using the software you agree to this license.
- // If you do not agree to this license, do not download, install,
- // copy or use the software.
- //
- //
- // License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2013, OpenCV Foundation, all rights reserved.
- // Third party copyrights are property of their respective owners.
- //
- // Redistribution and use in source and binary forms, with or without modification,
- // are permitted provided that the following conditions are met:
- //
- // * Redistribution's of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
- //
- // * Redistribution's in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
- //
- // * The name of the copyright holders may not be used to endorse or promote products
- // derived from this software without specific prior written permission.
- //
- // This software is provided by the copyright holders and contributors "as is" and
- // any express or implied warranties, including, but not limited to, the implied
- // warranties of merchantability and fitness for a particular purpose are disclaimed.
- // In no event shall the Intel Corporation or contributors be liable for any direct,
- // indirect, incidental, special, exemplary, or consequential damages
- // (including, but not limited to, procurement of substitute goods or services;
- // loss of use, data, or profits; or business interruption) however caused
- // and on any theory of liability, whether in contract, strict liability,
- // or tort (including negligence or otherwise) arising in any way out of
- // the use of this software, even if advised of the possibility of such damage.
- //
- //M*/
- //Demo of GOTURN tracker
- //In order to use GOTURN tracker, GOTURN architecture goturn.prototxt and goturn.caffemodel are required to exist in root folder.
- //There are 2 ways to get caffemodel:
- //1 - Train you own GOTURN model using <https://github.com/Auron-X/GOTURN_Training_Toolkit>
- //2 - Download pretrained caffemodel from <https://github.com/opencv/opencv_extra>
- #include "opencv2/opencv_modules.hpp"
- #if defined(HAVE_OPENCV_DNN) && defined(HAVE_OPENCV_DATASETS)
- #include "opencv2/datasets/track_alov.hpp"
- #include <opencv2/core/utility.hpp>
- #include <opencv2/imgproc.hpp>
- #include <opencv2/tracking.hpp>
- #include <opencv2/videoio.hpp>
- #include <opencv2/highgui.hpp>
- #include <iostream>
- using namespace std;
- using namespace cv;
- using namespace cv::datasets;
- #define NUM_TEST_FRAMES 1000
- static Mat image;
- static bool paused;
- static bool selectObjects = false;
- static bool startSelection = false;
- static Rect boundingBox;
- static const char* keys =
- { "{@dataset_path || Dataset path }"
- "{@dataset_id |1| Dataset ID }"
- };
- static void onMouse(int event, int x, int y, int, void*)
- {
- if (!selectObjects)
- {
- switch (event)
- {
- case EVENT_LBUTTONDOWN:
- //set origin of the bounding box
- startSelection = true;
- boundingBox.x = x;
- boundingBox.y = y;
- boundingBox.width = boundingBox.height = 0;
- break;
- case EVENT_LBUTTONUP:
- //sei with and height of the bounding box
- boundingBox.width = std::abs(x - boundingBox.x);
- boundingBox.height = std::abs(y - boundingBox.y);
- paused = false;
- selectObjects = true;
- startSelection = false;
- break;
- case EVENT_MOUSEMOVE:
- if (startSelection && !selectObjects)
- {
- //draw the bounding box
- Mat currentFrame;
- image.copyTo(currentFrame);
- rectangle(currentFrame, Point((int)boundingBox.x, (int)boundingBox.y), Point(x, y), Scalar(255, 0, 0), 2, 1);
- imshow("GOTURN Tracking", currentFrame);
- }
- break;
- }
- }
- }
- static void help()
- {
- cout << "\nThis example is a simple demo of GOTURN tracking on ALOV300++ dataset"
- "ALOV dataset contains videos with ID range: 1~314\n"
- "-- pause video [p] and draw a bounding boxes around the targets to start the tracker\n"
- "Example:\n"
- "./goturnTracker <dataset_path> <dataset_id>\n"
- << endl;
- cout << "\n\nHot keys: \n"
- "\tq - quit the program\n"
- "\tp - pause video\n";
- }
- int main(int argc, char *argv[])
- {
- CommandLineParser parser(argc, argv, keys);
- string datasetRootPath = parser.get<string>(0);
- int datasetID = parser.get<int>(1);
- if (datasetRootPath.empty())
- {
- help();
- return -1;
- }
- Mat frame;
- paused = false;
- namedWindow("GOTURN Tracking", 0);
- setMouseCallback("GOTURN Tracking", onMouse, 0);
- //Create GOTURN tracker
- auto tracker = TrackerGOTURN::create();
- //Load and init full ALOV300++ dataset with a given datasetID, as alternative you can use loadAnnotatedOnly(..)
- //to load only frames with labelled ground truth ~ every 5-th frame
- Ptr<cv::datasets::TRACK_alov> dataset = TRACK_alov::create();
- dataset->load(datasetRootPath);
- dataset->initDataset(datasetID);
- //Read first frame
- dataset->getNextFrame(frame);
- if (frame.empty())
- {
- cout << "invalid dataset: " << datasetRootPath << endl;
- return -2;
- }
- frame.copyTo(image);
- rectangle(image, boundingBox, Scalar(255, 0, 0), 2, 1);
- imshow("GOTURN Tracking", image);
- bool initialized = false;
- paused = true;
- int frameCounter = 0;
- //Time measurment
- int64 e3 = getTickCount();
- for (;;)
- {
- if (!paused)
- {
- //Time measurment
- int64 e1 = getTickCount();
- if (initialized){
- if (!dataset->getNextFrame(frame))
- break;
- frame.copyTo(image);
- }
- if (!initialized && selectObjects)
- {
- //Initialize the tracker and add targets
- tracker->init(frame, boundingBox);
- rectangle(frame, boundingBox, Scalar(0, 0, 255), 2, 1);
- initialized = true;
- }
- else if (initialized)
- {
- //Update all targets
- if (tracker->update(frame, boundingBox))
- {
- rectangle(frame, boundingBox, Scalar(0, 0, 255), 2, 1);
- }
- }
- imshow("GOTURN Tracking", frame);
- frameCounter++;
- //Time measurment
- int64 e2 = getTickCount();
- double t1 = (e2 - e1) / getTickFrequency();
- cout << frameCounter << "\tframe : " << t1 * 1000.0 << "ms" << endl;
- }
- char c = (char)waitKey(2);
- if (c == 'q')
- break;
- if (c == 'p')
- paused = !paused;
- }
- //Time measurment
- int64 e4 = getTickCount();
- double t2 = (e4 - e3) / getTickFrequency();
- cout << "Average Time for Frame: " << t2 * 1000.0 / frameCounter << "ms" << endl;
- cout << "Average FPS: " << 1.0 / t2*frameCounter << endl;
- waitKey(0);
- return 0;
- }
- #else // ! HAVE_OPENCV_DNN && HAVE_OPENCV_DATASETS
- #include <opencv2/core.hpp>
- int main() {
- CV_Error(cv::Error::StsNotImplemented , "this sample needs to be built with opencv_datasets and opencv_dnn !");
- return -1;
- }
- #endif
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