文件名称:rcnn-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-05-08
- 文件大小：
- 180kb
- 下载次数：
- 0次
- 提 供 者：
- 宋*
- 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
区域卷积网络 深度学习在目标检测、图像分割方面的应用代码 基于caffe操作平台-region convolutional net ,the adaptin of dep learning on object detection and segmentation
(系统自动生成,下载前可以参看下载内容)
下载文件列表
rcnn-master
...........\.gitignore
...........\000084.jpg
...........\LICENSE
...........\README.md
...........\bbox_regression
...........\...............\rcnn_predict_bbox_regressor.m
...........\...............\rcnn_test_bbox_regressor.m
...........\...............\rcnn_train_bbox_regressor.m
...........\...............\vis_debug_bbox_pred.m
...........\bin
...........\...\README.md
...........\cachedir
...........\........\README.md
...........\data
...........\....\README.md
...........\....\fetch_data.sh
...........\datasets
...........\........\VOCdevkit2007
...........\........\VOCdevkit2010
...........\........\VOCdevkit2012
...........\experiments
...........\...........\configs.m
...........\...........\rcnn_exp_bbox_reg_train_and_test.m
...........\...........\rcnn_exp_cache_features.m
...........\...........\rcnn_exp_train_and_test.m
...........\...........\rcnn_run_pool5_explorer.m
...........\external
...........\........\README.txt
...........\........\liblinear-1.94
...........\........\..............\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
...........\feat_cache
...........\..........\README.md
...........\finetuning
...........\..........\rcnn_make_window_file.m
...........\..........\voc_2007_prototxt
...........\..........\.................\pascal_finetune_solver.prototxt
...........\..........\.................\pascal_finetune_train.prototxt
...........\..........\.................\pascal_finetune_val.prototxt
...........\..........\voc_2012_prototxt
...........\..........\.................\pascal_finetune_solver.prototxt
...........\..........\.................\pascal_finetune_train.prototxt
...........\..........\.................\pascal_finetune_val.prototxt
...........\imdb
...........\....\cache
...........\....\.....\README.md
...........\....\get_voc_opts.m
...........\....\imdb_eval_voc.m
...........\....\imdb_from_voc.m
...........\....\roidb_from_voc.m
...........\model-defs
...........\..........\imagenet_deploy.prototxt
...........\..........\imagenet_rcnn_batch_256_output_pool5.prototxt
...........\..........\pascal_finetune_deploy.prototxt
...........\..........\rcnn_batch_256_output_fc6.prototxt
...........\..........\rcnn_batch_256_output_fc7.prototxt
...........\..........\rcnn_batch_256_output_pool5.prototxt
...........\nms
...........\...\nms.m
...........\rcnn_build.m
...........\rcnn_cache_pool5_features.m
...........\rcnn_config.m
...........\rcnn_