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[Home][14. Segment Variation][14.3 Tabasco]
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14.3 Tabasco - Rotation SymmetryThere are two ways to run this example: · Batch · Manual The Batch Run takes only two clicks:
The Manual Run requires a few more clicks: Input: Training: .\ex_trademark\image026.jpg Search: .\ex_trademark\ Parameters NeuralNet Filter Parameter: Symmetry = Rotation Blurring = 25 Sensitivity = 80 Internal Cut = 50 ExternalCut = 60000 Operation
Results ID Name Path Score X Y W H R I026_r10 I026_r10.jpg C:\...\ex_trademark\ 77632 70 20 225 375 0 I026_r20 I026_r20.jpg C:\...\ex_trademark\ 74496 30 0 225 375 350 I026_r30 I026_r30.jpg C:\...\ex_trademark\ 70592 32 0 246 397 340 I026_r40 I026_r40.jpg C:\...\ex_trademark\ 70400 0 0 225 375 140 I026_r50 I026_r50.jpg C:\...\ex_trademark\ 72896 0 0 230 401 310 I026_r60 I026_r60.jpg C:\...\ex_trademark\ 68288 0 33 225 416 120 I026_r70 I026_r70.jpg C:\...\ex_trademark\ 69824 0 30 225 375 290 I026_r80 I026_r80.jpg C:\...\ex_trademark\ 69760 0 0 225 375 290 I026_r90 I026_r90.jpg C:\...\ex_trademark\ 106432 30 90 225 375 270 IMAGE026 IMAGE026.JPG C:\...\ex_trademark\ 128000000 90 50 225 375 0 Summary # Images = 126 # To be retrieved = 10 # Retrieved correctly = 10 # Missed = 0 Hit Ratio = 100%
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