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 | 1 | initial version |
as you can see from the c++ manuals, a default gridsize of 8 is used.
yes, you can change it, (like any other argument used there):
lbph = cv2.face.createLBPHFaceRecognizer( grid_x=9, grid_y=9 ) # "named" args, if skipping defaults
| | 2 | No.2 Revision |
as you can see from the c++ manuals, a default gridsize of 8 is used.
yes, you can change it, (like any other argument used there):
# use "named" args, if skipping defaults
lbph = cv2.face.createLBPHFaceRecognizer( grid_x=9, grid_y=9 ) # "named" args, if skipping defaults
)
| | 3 | No.3 Revision |
as you can see from the c++ manuals, a default gridsize of 8 is used.
yes, you can change it, (like any other argument used there):
# use "named" args, if skipping defaults
lbph = cv2.face.createLBPHFaceRecognizer( grid_x=9, grid_y=9 )
using a larger number will make your histograms more "sparse", a smaller more "dense".
| | 4 | No.4 Revision |
as you can see from the c++ manuals, a default gridsize grid count of 8 is used.
yes, you can change it, (like any other argument used there):
# use "named" args, if skipping defaults
lbph = cv2.face.createLBPHFaceRecognizer( grid_x=9, grid_y=9 )
using a larger number will make your histograms more "sparse", a smaller more "dense".