文件名称:cvpr15deepcompare-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [C/C++] [Matlab] [源码]
- 上传时间：
- 2015-12-28
- 文件大小：
- 21kb
- 下载次数：
- 0次
- 提 供 者：
- 黄*
- 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
Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
-
This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
-Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
-
This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
-
This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
-Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
-
This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
(系统自动生成,下载前可以参看下载内容)
下载文件列表
cvpr15deepcompare-master
........................\.gitmodules
........................\CMakeLists.txt
........................\LICENSE
........................\README.md
........................\cunnproduction
........................\download_pack.sh
........................\matlab
........................\......\deepcompare.cpp
........................\......\make.m
........................\opencv
........................\......\CMakeLists.txt
........................\......\example.cpp
........................\run_test.sh
........................\src
........................\...\loader.cpp
........................\...\loader.h
........................\...\test.cpp
........................\...\wrapper.cpp
........................\...\wrapper.h
........................\torch
........................\.....\extract_cpu.lua
........................\.....\extract_gpu.lua
........................\.....\match_cpu.lua
........................\.....\match_gpu.lua