win10 下的opencv3.2.0實現tracker常見問題----必要條件整理
在opencv中常常要實現對視頻中的目標進行追蹤,一些比較新的方法(比如MIL、KCF、TLD等)都在opencv_contrib庫裏,所以首先你需要下載安裝opencv_contrib庫,詳見在win10下實現openCV3.2.0+vs2015+cmake出錯解決方案 。這裏需要說明的是我的系統是win10的,所以開發環境均在win10下,以下不做特殊說明均在win10下完成。
關於tracking官網提供了其參考資料Tracking API 、Introduction to OpenCV Tracker 。
opencv3.X以後將目標追蹤方法集成到tracking上,集成圖如下:
tracking實現的思路如下:
●創建tracker對象
●使用roiSelector函數的功能,從指定的圖像中選擇ROI
●在圖像中跟蹤特定的區域
這裏我引入了一段網上的代碼,也是官網的代碼稍加修改:
#include <opencv2/core/utility.hpp> #include <opencv2/tracking/tracking.hpp> #include <opencv2/videoio.hpp> #include <opencv2/highgui.hpp> #include <iostream> #include <cstring> using namespace std; using namespace cv; int main(int argc, char** argv) { // declares all required variables Rect2d roi; Mat frame; // create a tracker object Ptr<Tracker> tracker = Tracker::create("KCF"); // set input video // std::string video = argv[1]; VideoCapture cap("dount.avi"); // get bounding box cap >> frame; roi = selectROI("tracker", frame); //quit if ROI was not selected if (roi.width == 0 || roi.height == 0) return 0; // initialize the tracker tracker->init(frame, roi); // perform the tracking process printf("Start the tracking process, press ESC to quit.\n"); for (;; ) { // get frame from the video cap >> frame; // stop the program if no more images if (frame.rows == 0 || frame.cols == 0) break; // update the tracking result tracker->update(frame, roi); // draw the tracked object rectangle(frame, roi, Scalar(255, 0, 0), 2, 1); // show image with the tracked object imshow("tracker", frame); //quit on ESC button if (waitKey(1) == 27)break; } return 0; }
運行這段代碼有兩個環境變量要配置:
1. Ptr<Tracker> tracker = Tracker::create("KCF");報錯;
原因是我們要將opencv_contrib庫裏的tracking引入工程中,這裏有兩種方法:
a.直接將opencv_contrib庫裏tracking文件夾復制到opencv2下,並將tracking文件夾中的tracking文件夾中的內容復制到最外層文件夾裏,
復制後的結果:
b.將cmake編譯後的文件夾中的include目錄引入工程中:VC++目錄-->包含目錄,添加: D:\work\opencv\myopencv\install\include
這樣編譯就沒有錯誤了。
由於我用的第一種方法所以遇到了一個這樣的錯誤:
錯誤 C1014:包含文件太多:深度=1024
出現這個錯誤可能的原因是opencv2中有文件重復。
2.編譯鏈接時出現了無法編譯的外部錯誤:
嚴重性 |
代碼 |
說明 |
項目 |
文件 |
行 |
禁止顯示狀態 |
錯誤 |
LNK2019 |
無法解析的外部符號 "public: bool __cdecl cv::Tracker::init(class cv::Mat const &,class cv::Rect_<double> const &)" ([email protected]@[email protected]@[email protected]@[email protected]@[email protected]@Z),該符號在函數 main 中被引用 |
point_collect |
D:\work\project\point_collect\point_collect\質點追蹤.obj |
1 |
|
一共有四個這裏顯示了一個,原因就是沒引入tracking的動態鏈接庫,就是要將cmake後的文件夾下的動態鏈接庫引入到工程中,
然後配置輸入文件的附加依賴項:
這裏註意如果是
Debug:
opencv_aruco320d.lib
opencv_bgsegm320d.lib
opencv_bioinspired320d.lib
opencv_calib3d320d.lib
opencv_ccalib320d.lib
opencv_core320d.lib
opencv_datasets320d.lib
opencv_dnn320d.lib
opencv_dpm320d.lib
opencv_face320d.lib
opencv_features2d320d.lib
opencv_flann320d.lib
opencv_fuzzy320d.lib
opencv_highgui320d.lib
opencv_imgcodecs320d.lib
opencv_imgproc320d.lib
opencv_line_descriptor320d.lib
opencv_ml320d.lib
opencv_objdetect320d.lib
opencv_optflow320d.lib
opencv_phase_unwrapping320d.lib
opencv_photo320d.lib
opencv_plot320d.lib
opencv_reg320d.lib
opencv_rgbd320d.lib
opencv_saliency320d.lib
opencv_shape320d.lib
opencv_stereo320d.lib
opencv_stitching320d.lib
opencv_structured_light320d.lib
opencv_superres320d.lib
opencv_surface_matching320d.lib
opencv_text320d.lib
opencv_tracking320d.lib
opencv_video320d.lib
opencv_videoio320d.lib
opencv_videostab320d.lib
opencv_xfeatures2d320d.lib
opencv_ximgproc320d.lib
opencv_xobjdetect320d.lib
opencv_xobjdetect320d.lib
否則:
- opencv_aruco320.lib
- opencv_bgsegm320.lib
- opencv_bioinspired320.lib
- opencv_calib3d320.lib
- opencv_ccalib320.lib
- opencv_core320.lib
- opencv_datasets320.lib
- opencv_dnn320.lib
- opencv_dpm320.lib
- opencv_face320.lib
- opencv_features2d320.lib
- opencv_flann320.lib
- opencv_fuzzy320.lib
- opencv_highgui320.lib
- opencv_imgcodecs320.lib
- opencv_imgproc320.lib
- opencv_line_descriptor320.lib
- opencv_ml320.lib
- opencv_objdetect320.lib
- opencv_optflow320.lib
- opencv_phase_unwrapping320.lib
- opencv_photo320.lib
- opencv_plot320.lib
- opencv_reg320.lib
- opencv_rgbd320.lib
- opencv_saliency320.lib
- opencv_shape320.lib
- opencv_stereo320.lib
- opencv_stitching320.lib
- opencv_structured_light320.lib
- opencv_superres320.lib
- opencv_surface_matching320.lib
- opencv_text320.lib
- opencv_tracking320.lib
- opencv_video320.lib
- opencv_videoio320.lib
- opencv_videostab320.lib
- opencv_xfeatures2d320.lib
- opencv_ximgproc320.lib
- opencv_xobjdetect320.lib
win10 下的opencv3.2.0實現tracker常見問題----必要條件整理