文件名称:vehicle-Identify-
- 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：
- 2017-03-20
- 文件大小：
- 2.41mb
- 下载次数：
- 0次
- 提 供 者：
- 赵**
- 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
交通车辆识别系统的实
现与特征提取 良好的性能-Implementation and transport vehicles feature recognition system to extract good performance
现与特征提取 良好的性能-Implementation and transport vehicles feature recognition system to extract good performance
(系统自动生成,下载前可以参看下载内容)
下载文件列表
11\MLT-Classifier-master\.gitignore
..\.....................\bg-fg-separator\separator.py
..\.....................\classifier\one-vs-rest-svm\classifier-svm.py
..\.....................\..........\...............\Predictor\gen_caffe_input.py
..\.....................\..........\...............\.........\prediction.sh
..\.....................\..........\...............\.........\predictor.py
..\.....................\feature-extractor\caffe-feat\gen_feat.sh
..\.....................\.................\..........\mlt_caffe.py
..\.....................\.................\..........\mlt_get_caffe_img.py
..\.....................\.................\..........\README.md
..\.....................\.................\sift-feat\mlt_sift.m
..\.....................\.................\.........\README.md
..\.....................\.................\.........\sift-extractor.py
..\.....................\README.md
..\.....................\results\coarse-fine-analysis.md
..\.....................\.......\MLT Presentation.pdf
..\.....................\.......\MLTProjectReport.pdf
..\.....................\.......\sample-photo-1.jpg
..\.....................\.......\sample-photo-2.jpg
..\.....................\.......\video-image.png
..\MLT-Classifier-master.zip
..\.....................\classifier\one-vs-rest-svm\Predictor
..\.....................\..........\one-vs-rest-svm
..\.....................\feature-extractor\caffe-feat
..\.....................\.................\sift-feat
..\.....................\bg-fg-separator
..\.....................\classifier
..\.....................\feature-extractor
..\.....................\results
..\MLT-Classifier-master
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