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It seems that the training data is mainly German licence plates, so the program can't really identify the rear plate of British cars, which is yellow instead of white. I've trained my own model and uploaded the UK_licence_plate.pt weight file in my own fork. However, it seems like my weight is not working perfectly, as I need to manually assign the weights_name and training_inference_size variable in main.py for it to work.
Is it possible to:
guide me on how to make my UK_licence_plate.pt work better, i.e., without needing me to manually assign variables?
maybe add my trained weights to the main program for British users who wants to clean licence plates from videos?
Thank you very much!
The text was updated successfully, but these errors were encountered:
Hi! Thank your for your interest, and especially the work you've done!
The code uses a fairly ugly regex (r"(?P\d*)p_") to search for the training image size. Basically, your filename "needs to" follow this as well in order for it to work directly. The regex searches for a number (the inference size) followed by "p_", so you could for example name yours "UK_720p_license_plates.pt".
It seems that the training data is mainly German licence plates, so the program can't really identify the rear plate of British cars, which is yellow instead of white. I've trained my own model and uploaded the UK_licence_plate.pt weight file in my own fork. However, it seems like my weight is not working perfectly, as I need to manually assign the weights_name and training_inference_size variable in main.py for it to work.
Is it possible to:
guide me on how to make my UK_licence_plate.pt work better, i.e., without needing me to manually assign variables?
maybe add my trained weights to the main program for British users who wants to clean licence plates from videos?
Thank you very much!
The text was updated successfully, but these errors were encountered: