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1 |
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awarded | Yearling |
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1 |
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awarded | Yearling |
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Dec
1 |
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awarded | Yearling |
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Dec
1 |
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awarded | Yearling |
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Jun
4 |
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awarded | Notable Question |
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1 |
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awarded | Yearling |
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1 |
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awarded | Yearling |
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Mar
28 |
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awarded | Enlightened |
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28 |
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awarded | Nice Answer |
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Dec
1 |
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awarded | Yearling |
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1 |
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awarded | Yearling |
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Feb
2 |
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awarded | Scholar |
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Feb
2 |
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accepted | Find keyword in snake_case texts |
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Feb
2 |
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revised |
Find keyword in snake_case texts added 191 characters in body |
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Feb
2 |
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asked | Find keyword in snake_case texts |
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Jan
7 |
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comment |
Determine if certain parts of an RGB image are colored or grayscale using numpy Maybe a simple cnn based classifier might do the trick and have you gone through this article imageeprocessing.com/2017/07/… ? |
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Jan
6 |
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comment |
Determine if certain parts of an RGB image are colored or grayscale using numpy Off the top of my head, how about just trying to convert the cropped image to grayscale and use, say MSE(Mean Squared Error) function to determine if the cropped image was initially grayscale? |
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Dec
1 |
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awarded | Yearling |
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Dec
1 |
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awarded | Yearling |
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Nov
9 |
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awarded | Supporter |