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facial-landmarks-35-adas-0001 input description

See original GitHub issue

It stated:

The blob is constructed from a 60x60 pixel BGR image with subtracted mean of (120, 110, 104) and scale factor of 0.0039.

And I have spent a lot of time, to figure out, that right parameters must come without mean and scale, or you’ll get warped/distorted result.

# original, not working
blob = cv2.dnn.blobFromImage(face, 0.0039, (60, 60), mean=[120, 110, 104], swapRB=False)

# working
blob = cv2.dnn.blobFromImage(face, 1, (60, 60))
# also working, but worser
blob = cv2.dnn.blobFromImage(face, 1, (60, 60), mean=[120,110,104], swapRB=False)

Issue Analytics

State:
Created 5 years ago
Comments:5 (5 by maintainers)

Top GitHub Comments

1reaction

snosov1commented, Mar 18, 2019

Sorry, I see you’ve already created one #48 =)

0reactions

snosov1commented, Mar 29, 2019

Not relevant anymore with 0002 replacing 0001 model

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