8.3 Label - Training
About1. Introduction2. Overview3. GUI4. Image Signatures5. Unsupervised Filters6. Results & Analysis7. BioFilters8. NeuralFilters9. Duplicated Documents10. Face Recognition11. Auto Part Recognition12. Dynamic Library13. NeuralNet Filter14. Segment Variation15. TV Advertisements16. Counting & Tracking17. Image PreProcessing18. Image Processing19. Batch Job20. Parameters21. Input Option22. Application Developers23. Reference Manual24. Support Services25. Readme.txt

8.1 Overview 
8.2 Parameters 
8.3 Label - Training 
8.4 N:N Matching 
8.5 1:N Matching 
8.6 N:N Analysis 
8.7 Batch Duplication 
8.8  Wheel Recognition 

 

 

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8.3   Label Recognition Training

We introduced the Label Recognition problem in both Unsupervised Filter and BioFilter. We will choose “Signature Filter 9” in this chapter. In Figure 8.1, select Signature Filter 9 from line 6.

 

Figure 8.1  Parameter Window.

We now revisit the Label Recognition example.  We must prepare the match.txt file for training. This file is already prepared for you and we will simply open it and save it to match.txt. The steps are:

Match.txt

  •    Open the Windows file, “c:\program files\Attrasoft 7.0\data\b1_ matchlist_ex_label.txt”. This file lists 152 matching pairs. Save it to match.txt (overwrite the existing file). Now the training file is prepared.

T1.txt:

  •    Click the “Source” button, go to “ex_label” directory and select any file in the folder. This will specify the input directory.
  •    Click the Source “>” button a few times to see the images;
  •    Click menu item “Signature/N Signature (a1.txt)” to get signature file, a1.txt file;
  •    Click menu item “Signature/Copy a1.txt to t1.txt” to get the training file, t1.txt.

Note: Here t1.txt is for training and a1.txt is for 1:N Matching and N:N Matching.

Training

  •    Click “Neural Filter\Training\Training” to train the BioFilter.

You should get this message at the end of the text window:

    Number of Matches = 152

    Neural Filter Training Completed!

The match.txt listed 152 pairs. The first line, Total Number of Matches = 152, indicates the training used 152 pairs. Now, the Neural Filter is trained for the Label Recognition problem. We will continue this example in the next section, N:N Matching.

 

 

[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]

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