16.4 Training Design
About1 Introduction2 Image Recognition3 TransApplet4 API5 Interface6 Input7 Image Display8 Preprocessing9 Processing10 Normalization11 Parameter Class12 Image Signatures13 Unsupervised Filters14 BioFilters15 NeuralFilters16 Dynamic Library17 NeuralNet Filter18 Parameters19 Input Options20 Database Input21 Video Input22  Live Video Input23  Counting & Tracking24  Counting 25  Batch Job26 ImageFinder for DOS27 ImageHunt 28 Support Packages

16.1  Menu 
16.2  API 
16.3 Creating Libary 
16.4 Training Design 
16.5 Load 
16.6 M:N Matching 
16.7 1:N Matching 
16.8 Updating Design 
16.9 Updating Implementation 
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16.4   Training Design

The dynamic library will use the same NeuralFilter object in the last chapter. Therefore, the training implementation is already completed. Again, training requires two files:


  •    Open the file, “.\data\match_ex_dynamic_lib.txt”. Save it to match.txt (overwrite the existing file). Now the training file is prepared.


  •    In the last step, we obtained a1.txt;
  •    Click menu item “Signature/Copy a1.txt to t1.txt” to get the training file, t1.txt.


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


[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]

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