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[Home][17 NeuralNet Filter][17.5 1:N Design]
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17.5 1:N Matching DesignTo 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
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