TLD-(windows)
所属分类：图形图像处理
开发工具：Visual C++
文件大小：25412KB
下载次数：47
上传日期：2016-03-06 16:00:49
上 传 者：
3691732
说明：
TLD跟踪算法源代码下载，根据opentld-matlab版改编。（纯C++，WINDOWS版本），可运行。
(Tldc++ version can be run, test validity)
文件列表:
TLD (windows) (0, 2016-02-23)
TLD (windows)\TLD (0, 2016-02-23)
TLD (windows)\TLD\Debug (0, 2016-02-23)
TLD (windows)\TLD\Debug\TLD.exe (595968, 2016-02-23)
TLD (windows)\TLD\Debug\TLD.ilk (2769592, 2016-02-23)
TLD (windows)\TLD\Debug\TLD.pdb (3582976, 2016-02-23)
TLD (windows)\TLD\ipch (0, 2016-02-23)
TLD (windows)\TLD\ipch\tld-b1315500 (0, 2016-02-23)
TLD (windows)\TLD\ipch\tld-b1315500\tld-e1ac9db0.ipch (62717952, 2016-02-23)
TLD (windows)\TLD\Release (0, 2016-02-23)
TLD (windows)\TLD\Release\TLD.exe (116224, 2013-05-08)
TLD (windows)\TLD\Release\TLD.pdb (1338368, 2013-05-08)
TLD (windows)\TLD\TLD (0, 2016-02-23)
TLD (windows)\TLD\TLD.ncb (3836928, 2013-05-08)
TLD (windows)\TLD\TLD.sdf (14176256, 2016-02-23)
TLD (windows)\TLD\TLD.sln (1230, 2016-01-30)
TLD (windows)\TLD\TLD.sln.old (875, 2013-05-08)
TLD (windows)\TLD\TLD.suo (32768, 2016-02-23)
TLD (windows)\TLD\TLD.suo.old (22528, 2013-05-08)
TLD (windows)\TLD\TLD\bounding_boxes.txt (0, 2016-02-23)
TLD (windows)\TLD\TLD\CMakeLists.txt (1037, 2012-07-12)
TLD (windows)\TLD\TLD\datasets (0, 2016-02-23)
TLD (windows)\TLD\TLD\datasets\evaluate_all_visual.sh (378, 2012-07-12)
TLD (windows)\TLD\TLD\datasets\evaluate_vis.py (2070, 2012-07-12)
TLD (windows)\TLD\TLD\datasets\minbox.py (298, 2012-07-12)
TLD (windows)\TLD\TLD\datasets\womanface.avi (1773170, 2016-01-14)
TLD (windows)\TLD\TLD\Debug (0, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\BuildLog.htm (6896, 2013-05-08)
TLD (windows)\TLD\TLD\Debug\cl.command.1.tlog (3630, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\CL.read.1.tlog (82610, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\CL.write.1.tlog (2472, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\FerNNClassifier.obj (1334985, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link-cvtres.read.1.tlog (2, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link-cvtres.write.1.tlog (2, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link.7844-cvtres.read.1.tlog (2, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link.7844-cvtres.write.1.tlog (2, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link.7844.read.1.tlog (2, 2016-02-23)
TLD (windows)\TLD\TLD\Debug\link.7844.write.1.tlog (2, 2016-02-23)
... ...
/*
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
*/
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