17.3 API
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

17.1  Key Segment 
17.2  Menu 
17.3 API 
17.4 Training  
17.5 1:N Design 
17.6 1:N Implementation 
17.7 Results 
17.8 Another Test 



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17.3   NeuralNet Filter API

The following table lists the NeuralNet Filter functions.



bool train (Bitmap img)

bool train (string sPath)

bool train (Bitmap img, int x, int y, int w, int h)

bool train (string sPath, int x, int y, int w, int h)    

Trains the neural net.

bool retrain (Bitmap img)

bool retrain (string sPath)

bool retrain (Bitmap img, int x, int y, int w, int h)

bool retrain (string sPath, int x, int y, int w, int h)    

Retrains the neural net.

Attrasoft.TransApplet70.Results_1N.Results_1NfindMatch11 ( Bitmap img1);

Attrasoft.TransApplet70.Results_1N.Results_1NfindMatch11 ( string path1);

Attrasoft.TransApplet70.Results_1N.Results_1NfindMatch1N ( string [] fileList);   

 Makes a 1:1 and 1:N Matching.

bool findMatchNN (string [] fileList, string c1File)

bool findMatchNM (string [] keyList, string [] libraryList, string c1File); 

Makes a N:N Matching and N:M 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]

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