文件名称:faster_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：
- 2016-03-22
- 文件大小：
- 99kb
- 下载次数：
- 0次
- 提 供 者：
- ha***
- 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
基于深度学习的实时跟踪代码，在caffe库的基础上，采用的基础框架cnn框架是vgg，到达实时跟踪效果-Based on real-time tracking codes depth study, based on caffe library on the basis of the fr a mework cnn fr a mework uses vgg, it reaches real-time tracking effect
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下载文件列表
faster_rcnn-master
..................\.gitattributes
..................\.gitignore
..................\.gitmodules
..................\LICENSE
..................\README.md
..................\experiments
..................\...........\+Dataset
..................\...........\........\private
..................\...........\........\.......\voc0712_devkit.m
..................\...........\........\.......\voc2007_devkit.m
..................\...........\........\.......\voc2012_devkit.m
..................\...........\........\voc0712_trainval.m
..................\...........\........\voc0712_trainval_ss.m
..................\...........\........\voc0712plus_trainval.m
..................\...........\........\voc0712plus_trainval_ss.m
..................\...........\........\voc2007_test.m
..................\...........\........\voc2007_test_ss.m
..................\...........\........\voc2007_trainval.m
..................\...........\........\voc2007_trainval_ss.m
..................\...........\........\voc2012_test.m
..................\...........\........\voc2012_trainval.m
..................\...........\+Faster_RCNN_Train
..................\...........\..................\do_fast_rcnn_test.m
..................\...........\..................\do_fast_rcnn_train.m
..................\...........\..................\do_proposal_test.m
..................\...........\..................\do_proposal_train.m
..................\...........\..................\gather_rpn_fast_rcnn_models.m
..................\...........\..................\set_cache_folder.m
..................\...........\+Model
..................\...........\......\VGG16_for_Fast_RCNN_VOC0712.m
..................\...........\......\VGG16_for_Fast_RCNN_VOC2007.m
..................\...........\......\VGG16_for_Faster_RCNN_VOC0712.m
..................\...........\......\VGG16_for_Faster_RCNN_VOC0712plus.m
..................\...........\......\VGG16_for_Faster_RCNN_VOC2007.m
..................\...........\......\VGG16_for_Faster_RCNN_VOC2012.m
..................\...........\......\ZF_for_Fast_RCNN_VOC0712.m
..................\...........\......\ZF_for_Fast_RCNN_VOC2007.m
..................\...........\......\ZF_for_Faster_RCNN_VOC0712.m
..................\...........\......\ZF_for_Faster_RCNN_VOC2007.m
..................\...........\script_fast_rcnn_VOC0712_VGG16.m
..................\...........\script_fast_rcnn_VOC0712_ZF.m
..................\...........\script_fast_rcnn_VOC2007_VGG16.m
..................\...........\script_fast_rcnn_VOC2007_ZF.m
..................\...........\script_faster_rcnn_VOC0712_VGG16.m
..................\...........\script_faster_rcnn_VOC0712_ZF.m
..................\...........\script_faster_rcnn_VOC0712plus_VGG16.m
..................\...........\script_faster_rcnn_VOC2007_VGG16.m
..................\...........\script_faster_rcnn_VOC2007_ZF.m
..................\...........\script_faster_rcnn_VOC2012_VGG16.m
..................\...........\script_faster_rcnn_demo.m
..................\external
..................\........\caffe
..................\faster_rcnn_build.m
..................\fetch_data
..................\..........\fetch_caffe_mex_windows_vs2013_cuda65.m
..................\..........\fetch_faster_rcnn_final_model.m
..................\..........\fetch_model_VGG16.m
..................\..........\fetch_model_ZF.m
..................\functions
..................\.........\fast_rcnn
..................\.........\.........\fast_rcnn_bbox_transform.m
..................\.........\.........\fast_rcnn_bbox_transform_inv.m
..................\.........\.........\fast_rcnn_config.m
..................\.........\.........\fast_rcnn_conv_feat_detect.m
..................\.........\.........\fast_rcnn_generate_sliding_windows.m
..................\.........\.........\fast_rcnn_get_minibatch.m
..................\.........\.........\fast_rcnn_im_detect.m
..................\.........\.........\fast_rcnn_map_im_rois_to_feat_rois.m
..................\.........\.........\fast_rcnn_prepare_image_roidb.m
..................\.........\.........\fast_rcnn_test.m
.............