文件名称:MDNet-master
介绍说明--下载内容均来自于网络,请自行研究使用
一个基于CNN的目标跟踪程序,效果非常好。成功率89 -Target tracking based on a CNN program, the effect is very good
(系统自动生成,下载前可以参看下载内容)
下载文件列表
MDNet-master\.gitignore
............\compile_matconvnet.m
............\LICENSE
............\matconvnet\.gitignore
............\..........\.gitmodules
............\..........\COPYING
............\..........\Makefile
............\..........\Makefile.mex
............\..........\Makefile.nvcc
............\..........\matlab\src\bits\data.cpp
............\..........\......\...\....\data.cu
............\..........\......\...\....\data.hpp
............\..........\......\...\....\datacu.cu
............\..........\......\...\....\datacu.hpp
............\..........\......\...\....\datamex.cpp
............\..........\......\...\....\datamex.cu
............\..........\......\...\....\datamex.hpp
............\..........\......\...\....\impl\blashelper.hpp
............\..........\......\...\....\....\copy.hpp
............\..........\......\...\....\....\copy_cpu.cpp
............\..........\......\...\....\....\copy_gpu.cu
............\..........\......\...\....\....\fast_mutex.h
............\..........\......\...\....\....\im2row.hpp
............\..........\......\...\....\....\im2row_cpu.cpp
............\..........\......\...\....\....\im2row_gpu.cu
............\..........\......\...\....\....\imread_gdiplus.cpp
............\..........\......\...\....\....\imread_helpers.hpp
............\..........\......\...\....\....\imread_libjpeg.cpp
............\..........\......\...\....\....\imread_quartz.cpp
............\..........\......\...\....\....\nnconv_blas.hpp
............\..........\......\...\....\....\nnconv_cudnn.cu
............\..........\......\...\....\....\nnconv_cudnn.hpp
............\..........\......\...\....\....\nnpooling_cudnn.cu
............\..........\......\...\....\....\nnpooling_cudnn.hpp
............\..........\......\...\....\....\normalize.hpp
............\..........\......\...\....\....\normalize_cpu.cpp
............\..........\......\...\....\....\normalize_gpu.cu
............\..........\......\...\....\....\pooling.hpp
............\..........\......\...\....\....\pooling_cpu.cpp
............\..........\......\...\....\....\pooling_gpu.cu
............\..........\......\...\....\....\subsample.hpp
............\..........\......\...\....\....\subsample_cpu.cpp
............\..........\......\...\....\....\subsample_gpu.cu
............\..........\......\...\....\....\tinythread.cpp
............\..........\......\...\....\....\tinythread.h
............\..........\......\...\....\imread.hpp
............\..........\......\...\....\mexutils.h
............\..........\......\...\....\nnconv.cpp
............\..........\......\...\....\nnconv.cu
............\..........\......\...\....\nnconv.hpp
............\..........\......\...\....\nnfullyconnected.cpp
............\..........\......\...\....\nnfullyconnected.cu
............\..........\......\...\....\nnfullyconnected.hpp
............\..........\......\...\....\nnnormalize.cpp
............\..........\......\...\....\nnnormalize.cu
............\..........\......\...\....\nnnormalize.hpp
............\..........\......\...\....\nnpooling.cpp
............\..........\......\...\....\nnpooling.cu
............\..........\......\...\....\nnpooling.hpp
............\..........\......\...\....\nnsubsample.cpp
............\..........\......\...\....\nnsubsample.cu
............\..........\......\...\....\nnsubsample.hpp
............\..........\......\...\config\mex_CUDA_glnxa64.sh
............\..........\......\...\......\mex_CUDA_glnxa64.xml
............\..........\......\...\......\mex_CUDA_maci64.sh
............\..........\......\...\......\mex_CUDA_maci64.xml
............\..........\......\...\vl_imreadjpeg.cpp
............\..........\......\...\vl_imreadjpeg.cu
............\..........\......\...\vl_nnconv.cpp
............\..........\......\...\vl_nnconv.cu
............\..........\......\...\vl_nnnormalize.cpp
............\..........\......\...\vl_nnnormalize.cu
............\..........\......\...\vl_nnpool.cpp
............\..........\......\...\vl_nnpool.cu
............\..........\......\vl_argparse.m
............\..........\......\vl_compilenn.m
............\..........\......