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saswat0 avatar saswat0 commented on June 8, 2024 1

Also, I think the error is maybe due to empty source file path. Create directories named "test_input" and "test_output" for storing intermediate outputs

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saswat0 avatar saswat0 commented on June 8, 2024

I have made some changes in darknet files to support opencv images as well. Do make those in your code or simply copy the darknet folder from /alpr/darknet

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Fahad-Alsabr avatar Fahad-Alsabr commented on June 8, 2024

I've downloaded the repo and I have the same error , do you think the problem with the dependency ?

keras : 2.1.5
tenserflow : 1.15.0
opencv : 2.4.9.1
Numpy : 1.16.6

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saswat0 avatar saswat0 commented on June 8, 2024

Keras-2.2.4
Tensorflow-1.5.0
OpenCV-4.1
Numpy-1.19
I have used these dependencies

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Fahad-Alsabr avatar Fahad-Alsabr commented on June 8, 2024

Yes thank you it worked for me , the problem has been solved by creating a Directories named "test_input" and "test_output" . do you think it can be uses for real time plate detection ?

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saswat0 avatar saswat0 commented on June 8, 2024

Real time recognition is pretty laggy unless you have really good hardware resources. I was able to get an fps of 2

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