文件名称:vehicle-Identify-
-
所属分类：
- 标签属性：
- 上传时间：2017-03-20
-
文件大小：2.41mb
-
已下载：0次
-
提 供 者：
-
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－－下载内容来自于网络，使用问题请自行百度
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
11
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者，仅为网络服务对象提供信息存储空间，仅对用户上载内容的表现方式做保护处理，对上载内容本身不做任何修改或编辑。