文件名称:fds60
介绍说明--下载内容均来自于网络,请自行研究使用
ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training-ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training-ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training
(系统自动生成,下载前可以参看下载内容)
下载文件列表
fds60
.....\license.txt
.....\face
.....\....\57.png
.....\....\3.png
.....\....\27.png
.....\....\32.png
.....\....\30.png
.....\....\55.png
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.....\....\2.png
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.....\....\1.png
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.....\....\12.png
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.....\....\25.png
.....\....\11.png
.....\....\53.png
.....\....\Thumbs.db
.....\....\69.png
.....\....\21.png
.....\....\63.png
.....\....\9.png
.....\....\33.png
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.....\....\22.png
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.....\....\39.png
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.....\....\67.png
.....\....\49.png
.....\include
.....\.......\load_images.m
.....\.......\scan_image.m
.....\.......\template1.png
.....\.......\mminmax.m
.....\.......\create_gabor.m
.....\.......\gabor.m
.....\.......\train_net.m
.....\.......\template2.png
.....\.......\draw_rect.m
.....\.......\create_net.m
.....\.......\im2vec.m
.....\im2.jpg
.....\main.m
.....\im3.jpg
.....\changelog.txt
.....\readme.txt
.....\im4.jpg
.....\im1.jpg
.....\data
.....\non-face
.....\........\57.png
.....\........\3.png
.....\........\27.png
.....\........\32.png
.....\........\30.png
.....\........\55.png