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When using super resolution I get the error _FX_WINO_IBLOCK == 3 && _FX_WINO_KBLOCK == 4. The LapSRN_x2 model is used for super resolution.
There is no error on HOST = Windows 10.
Environment
What did you do when you faced the problem?
I tried using other versions of OpenCvSharp (4.9, 4.8, 4.7) and corresponding contrib versions.
Tried to find a solution to the problem on the web. One of the possible solutions was found at https://forum.opencv.org/t/exception-thrown-when-running-a-sample-using-dnn/12818. One of the answers recommends disabling winograd optimization with dnn.enableWinograd(false). However, I did not find such a method in OpenCvSharp.
Summary of your issue
When using super resolution I get the error
_FX_WINO_IBLOCK == 3 && _FX_WINO_KBLOCK == 4
. The LapSRN_x2 model is used for super resolution.There is no error on HOST = Windows 10.
Environment
What did you do when you faced the problem?
I tried using other versions of OpenCvSharp (4.9, 4.8, 4.7) and corresponding contrib versions.
Tried to find a solution to the problem on the web. One of the possible solutions was found at https://forum.opencv.org/t/exception-thrown-when-running-a-sample-using-dnn/12818. One of the answers recommends disabling winograd optimization with
dnn.enableWinograd(false)
. However, I did not find such a method in OpenCvSharp.Example code:
Output:
What did you intend to be?
dnn.enableWinograd(false)
method.The text was updated successfully, but these errors were encountered: