15.4 Training Design
We introduced the Label Recognition problem with both the Unsupervised Filter and the BioFilter. We will choose “Signature Filter 9” in this chapter. In Figure 15.2, select Signature Filter 9 from line 6.
Figure 15.2 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:
Note: Here t1.txt is for training and a1.txt is for 1:N Matching and N:N Matching.
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 Image Recognition][3 TransApplet][4 API][5 Interface][6 Input][7 Image Display][8 Preprocessing][9 Processing][10 Normalization][11 Parameter Class][12 Image Signatures][13 Unsupervised Filters][14 BioFilters][15 NeuralFilters][16 Dynamic Library][17 NeuralNet Filter][18 Parameters][19 Input Options][20 Database Input][21 Video Input][22 Live Video Input][23 Counting & Tracking][24 Counting ][25 Batch Job][26 ImageFinder for DOS][27 ImageHunt ][28 Support Packages]
Copyright (c) 2006 - 2007 Attrasoft. All rights reserved.