aihot  2017-05-02 09:53:50  OpenCV |   查看评论   

 TLDTracking-Learning-Detection)学习与源码理解之(二)


TLD(Tracking-Learning-Detection)学习与源码理解之(二)

 

OpenTLD下载与编译:

1
下载得到:arthurv-OpenTLD-1e3cd0b.zip

或者在Linux下直接通过Git工具进行克隆:

#git clone [email protected]:alantrrs/OpenTLD.git

2)我的编译环境是Ubuntu 12.04 + Opencv2.3

安装 2.3

#apt-get install libcv-dev libcv2.3 libcvaux-dev libcvaux2.3 libhighgui-dev libhighgui2.3

安装cmake

#sudo apt-get install cmake

解压然后按照源码目录下README文件进行编译:

#cd OpenTLD

#mkdir build

#cd build

#cmake ../src/

#make

#cd ../bin/

3)运行:

%To run from camera

./run_tld -p ../parameters.yml

%To run from file

./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg

%To init bounding box from file

./run_tld -p ../parameters.yml -s ../datasets/06_car/car.mpg -b ../datasets/06_car/init.txt

%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 -no_tl

%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 –r

 

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