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Hello,
Thanks for the great implementation.
I am trying to parse out the results from,
brisq.get_feature()
array([ 3.045 , 0.50603335, 0.935 , 0.07977531, 0.18989894, 0.30313438, 0.962 , 0.00641462, 0.22917153, 0.23802732, 0.944 , -0.01937348, 0.24749078, 0.22059548, 0.95 , -0.08858988, 0.29660413, 0.17444489, 3.099 , 0.55769588, 0.891 , 0.01885744, 0.31190369, 0.34337697, 0.947 , -0.1115434 , 0.40508215, 0.22703991, 0.967 , -0.09722897, 0.36804549, 0.21901026, 0.977 , -0.11526568, 0.3845991 , 0.20810672])
Is there a dictionary or source that specifies what each of these values corresponds too?
The text was updated successfully, but these errors were encountered:
Hi, take a look at this web page, where this array of 36 elements is explained : https://learnopencv.com/image-quality-assessment-brisque/.
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Hello,
Thanks for the great implementation.
I am trying to parse out the results from,
brisq.get_feature()
array([ 3.045 , 0.50603335, 0.935 , 0.07977531, 0.18989894,
0.30313438, 0.962 , 0.00641462, 0.22917153, 0.23802732,
0.944 , -0.01937348, 0.24749078, 0.22059548, 0.95 ,
-0.08858988, 0.29660413, 0.17444489, 3.099 , 0.55769588,
0.891 , 0.01885744, 0.31190369, 0.34337697, 0.947 ,
-0.1115434 , 0.40508215, 0.22703991, 0.967 , -0.09722897,
0.36804549, 0.21901026, 0.977 , -0.11526568, 0.3845991 ,
0.20810672])
Is there a dictionary or source that specifies what each of these values corresponds too?
The text was updated successfully, but these errors were encountered: