前一段时间，由于自己对程序的参数输入不是很了解，遇到一些问题。今天发现在http://write.blog.csdn.net/postedit，源码的网站上有相关的doc文件和如何运行的文件，拿过来分享一下。自己跑得程序是TLD群中共享的TLD_HY-2012-11-27的程序。
这是网站上的rendme 文件。
This will be a C++ implementations of the OpenTLD (aka Predator) ---------------------------------------------------------------------------- This is a work in progress, as of right now the code is functional but pretty slow. ---------------------------------------------------------------------------- Installation Notes ===================================== git clone git@github.com:alantrrs/OpenTLD.git cd OpenTLD mkdir build cd build cmake ../src/ make cd ../bin/ %To run from camera ./run_tld -p ../parameters.yml -tl %To run from file ./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg -tl %To init bounding box from file ./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg -b ../datasets/06_car/init.txt -tl %To train only in the firs frame (no tracking, no learning) ./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg -b ../datasets/06_car/init.txt %To test the final detector (Repeat the video, first time learns, second time detects) ./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg -b ../datasets/06_car/init.txt -tl -r ===================================== Evaluation ===================================== The output of the program is a file called bounding_boxes.txt which contains all the detections made through the video. This file should be compared with the ground truth file to evaluate the performance of the algorithm. This is done using a python script: python ../datasets/evaluate_vis.py ../datasets/06_car/car.mpg bounding_boxes.txt ../datasets/06_car/gt.txt ==================================== Thanks ==================================== To Zdenek Kalal for realeasing his awesome algorithm
与程序里的read_optopons对应，注意自己对应的文件地址。如果跑相关的测试视频，在上面的网站的data文件夹有。
void read_options(int argc, char** argv,VideoCapture& capture,FileStorage &fs){
for (int i=0;i<argc;i++){
if (strcmp(argv[i],"-b")==0){
if (argc>i){
readBB(argv[i+1]);
gotBB = true;
}
else
print_help(argv);
}
if (strcmp(argv[i],"-s")==0){
if (argc>i){
video = string(argv[i+1]);
capture.open(video);
fromfile = true;
}
else
print_help(argv);
}
if (strcmp(argv[i],"-p")==0){
if (argc>i){
fs.open(argv[i+1], FileStorage::READ);
}
else
print_help(argv);
}
if (strcmp(argv[i],"-no_tl")==0){
tl = false;
}
if (strcmp(argv[i],"-r")==0){
rep = true;
}
}
}