文件名称:mvcnn-master
- 所属分类:
- 3D图形编程
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2017-03-01
- 文件大小:
- 1.45mb
- 下载次数:
- 0次
- 提 供 者:
- bouma******
- 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
3DShapeNetsCode neuronal network for 3D mesh retr
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mvcnn-master
............\.gitignore
............\.gitmodules
............\LICENCE
............\README.md
............\caffe
............\.....\MVCNNDataLayer.py
............\.....\README.md
............\.....\ilsvrc_2012_mean.npy
............\.....\mvccn_12view.prototxt
............\.....\mvcnn_Train.prototxt
............\.....\trainCNN.py
............\cnn_shape.m
............\cnn_shape_get_batch.m
............\cnn_shape_get_features.m
............\cnn_shape_init.m
............\cnn_shape_train.m
............\contributors.txt
............\data
............\....\.gitignore
............\dataset
............\.......\setup_imdb_generic.m
............\.......\setup_imdb_modelnet.m
............\.......\setup_imdb_shapenet.m
............\dependencies
............\............\liblinear-1.96
............\............\..............\.gitignore
............\............\..............\COPYRIGHT
............\............\..............\Makefile
............\............\..............\Makefile.win
............\............\..............\README
............\............\..............\blas
............\............\..............\....\Makefile
............\............\..............\....\blas.h
............\............\..............\....\blasp.h
............\............\..............\....\daxpy.c
............\............\..............\....\ddot.c
............\............\..............\....\dnrm2.c
............\............\..............\....\dscal.c
............\............\..............\heart_scale
............\............\..............\linear.cpp
............\............\..............\linear.def
............\............\..............\linear.h
............\............\..............\matlab
............\............\..............\......\Makefile
............\............\..............\......\README
............\............\..............\......\libsvmread.c
............\............\..............\......\libsvmwrite.c
............\............\..............\......\linear_model_matlab.c
............\............\..............\......\linear_model_matlab.h
............\............\..............\......\make.m
............\............\..............\......\predict.c
............\............\..............\......\train.c
............\............\..............\predict.c
............\............\..............\python
............\............\..............\......\Makefile
............\............\..............\......\README
............\............\..............\......\liblinear.py
............\............\..............\......\liblinearutil.py
............\............\..............\train.c
............\............\..............\tron.cpp
............\............\..............\tron.h
............\............\..............\windows
............\............\..............\.......\liblinear.dll
............\............\..............\.......\libsvmread.mexw64
............\............\..............\.......\libsvmwrite.mexw64
............\............\..............\.......\predict.exe
............\............\..............\.......\predict.mexw64
............\............\..............\.......\train.exe
............\............\..............\.......\train.mexw64
............\............\matconvnet
............\............\vlfeat
............\evalkit
............\.......\Evaluator.js
............\.......\Metrics.js
............\.......\README.txt
............\.......\evaluate.js
............\.......\train.csv
............\.......\val.csv
............\exp_scripts
............\...........\confmat.m
............\...........\display_retrieval_results.m
............\...........\display_right_wrong.m
............\...........\learn_metric.m
............\...........\prfigure.m
............\...........\visualize_saliency.m
............\get_imdb.m
............\rerank_retrieval.m
............\run_experiments.m
............\run_retrieval.m
............\setup.m
............\shape_compute_descriptor.m
............\utils
............\.....\RenderMe
............\.....\........\RenderDepth
............\..