![]() |
|
|
|
|
|
[Home][13. NeuralNet Filter][13.4 1:N Matching]
|
|
|
13.4 1:N MatchingFigure 13.3 Neural Net Training and Matching. To make a 1:N Matching:
The output will look like this: ID Name Path Score X Y W H R IMAGE002 IMAGE002.JPG C:\...\input_Auto_track\ 74240 204 42 162 126 0 IMAGE002a IMAGE002a.JPG C:\...\input_Auto_track\ 70080 228 42 162 126 0 IMAGE002b IMAGE002b.JPG C:\...\input_Auto_track\ 71616 240 30 162 126 0 IMAGE002c IMAGE002c.JPG C:\...\input_Auto_track\ 72640 246 66 162 126 0 IMAGE002d IMAGE002d.JPG C:\...\input_Auto_track\ 70720 246 120 162 126 0 IMAGE002e IMAGE002e.JPG C:\...\input_Auto_track\ 71104 138 150 162 126 0 IMAGE002f IMAGE002f.JPG C:\...\input_Auto_track\ 108096 84 288 162 126 0 IMAGE004 IMAGE004.JPG C:\...\input_Auto_track\ 70080 12 24 162 126 0 IMAGE006 IMAGE006.JPG C:\...\input_Auto_track\ 67008 378 204 162 126 0 IMAGE008 IMAGE008.JPG C:\...\input_Auto_track\ 67200 48 60 162 126 0
[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]
Copyright (c) 1998 - 2006 Attrasoft, Inc. All rights reserved. |
|