文件名称:FCNT-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2016-04-13
- 文件大小：
- 13.6mb
- 下载次数：
- 0次
- 提 供 者：
- w
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
Wang, Lijun等提供的卷积神经网络跟踪算法，详细内容可参见论文Visual Tracking with Fully Convolutional Networks，测试运行环境为64-bit Arch Linux OS-Wang, Lijun and other neural network convolution tracking algorithm provided detailed information can be found in the paper Visual Tracking with Fully Convolutional Networks, test operating environment for 64-bit Arch Linux OS
(系统自动生成,下载前可以参看下载内容)
下载文件列表
FCNT-master
...........\.gitignore
...........\.gitmodules
...........\README.md
...........\caffe-fcnt
...........\..........\.Doxyfile
...........\..........\.gitignore
...........\..........\.travis.yml
...........\..........\CMakeLists.txt
...........\..........\CMakeScripts
...........\..........\............\FindAtlas.cmake
...........\..........\............\FindGFlags.cmake
...........\..........\............\FindGlog.cmake
...........\..........\............\FindLAPACK.cmake
...........\..........\............\FindLMDB.cmake
...........\..........\............\FindLevelDB.cmake
...........\..........\............\FindMKL.cmake
...........\..........\............\FindOpenBLAS.cmake
...........\..........\............\FindSnappy.cmake
...........\..........\............\lint.cmake
...........\..........\CONTRIBUTORS.md
...........\..........\INSTALL.md
...........\..........\LICENSE
...........\..........\Makefile
...........\..........\Makefile.config.example
...........\..........\README.md
...........\..........\caffe.cloc
...........\..........\cscope.in.out
...........\..........\cscope.out
...........\..........\cscope.po.out
...........\..........\docs
...........\..........\....\CNAME
...........\..........\....\README.md
...........\..........\....\_config.yml
...........\..........\....\_layouts
...........\..........\....\........\default.html
...........\..........\....\development.md
...........\..........\....\images
...........\..........\....\......\GitHub-Mark-64px.png
...........\..........\....\index.md
...........\..........\....\installation.md
...........\..........\....\model_zoo.md
...........\..........\....\performance_hardware.md
...........\..........\....\stylesheets
...........\..........\....\...........\pygment_trac.css
...........\..........\....\...........\reset.css
...........\..........\....\...........\styles.css
...........\..........\....\tutorial
...........\..........\....\........\convolution.md
...........\..........\....\........\data.md
...........\..........\....\........\fig
...........\..........\....\........\...\.gitignore
...........\..........\....\........\...\backward.jpg
...........\..........\....\........\...\forward.jpg
...........\..........\....\........\...\forward_backward.png
...........\..........\....\........\...\layer.jpg
...........\..........\....\........\...\logreg.jpg
...........\..........\....\........\forward_backward.md
...........\..........\....\........\index.md
...........\..........\....\........\interfaces.md
...........\..........\....\........\layers.md
...........\..........\....\........\loss.md
...........\..........\....\........\net_layer_blob.md
...........\..........\....\........\solver.md
...........\..........\examples
...........\..........\........\CMakeLists.txt
...........\..........\........\cifar10
...........\..........\........\.......\cifar10_full.prototxt
...........\..........\........\.......\cifar10_full_solver.prototxt
...........\..........\........\.......\cifar10_full_solver_lr1.prototxt
...........\..........\........\.......\cifar10_full_solver_lr2.prototxt
...........\..........\........\.......\cifar10_full_train_test.prototxt
...........\..........\........\.......\cifar10_quick.prototxt
...........\..........\........\.......\cifar10_quick_solver.prototxt
...........\..........\........\.......\cifar10_quick_solver_lr1.prototxt
...........\..........\........\.......\cifar10_quick_train_test.prototxt
...........\..........\........\.......\convert_cifar_data.cpp
...........\..........\........\.......\create_cifar10.sh
...........\..........\........\.......\readme.md
...........\..........\........\.......\train_full.sh
...........\..........\........\.......\train_quick.sh
...........\..........\........\classification.ipynb
...........\..........\........\detection.ipynb
...........\..........\........\feature_extraction
...........\..........\........\..................\imagenet_val.prototxt
...........\..........\........\..................\readme.md
...........\..........\........\filter_