Comments (3)
You replaced the neural network files with files from someone else, trained in a different way, perhaps not even Darknet/YOLO files, and now you'd like me to debug things for you?
Stick with the neural network files I provide, or train your own as described in this video: https://www.youtube.com/watch?v=jz97_-PCxl4
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Good Morning Dear Mr. Stéphane Charette,
In this published paper http://sergiomsilva.com/pubs/alpr-unconstrained/ authors already provided well-trained models, including Darknet trained network. One can get them by this script:
wget -c -N http://sergiomsilva.com/data/eccv2018/ocr/ocr-net.cfg -P data/ocr/
wget -c -N http://sergiomsilva.com/data/eccv2018/ocr/ocr-net.names -P data/ocr/
wget -c -N http://sergiomsilva.com/data/eccv2018/ocr/ocr-net.weights -P data/ocr/
wget -c -N http://sergiomsilva.com/data/eccv2018/ocr/ocr-net.data -P data/ocr/
I just wondered whether it's possible to adopt these files in DarkPlate without retraining or anything else. Now I understand that this way doesn't work and DarkPlate has its own structure of files.
Anyway thank you for the great project and your answer!
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I have no idea, you'd have to try it out.
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Related Issues (10)
- More details HOT 2
- Awesome work HOT 2
- How to add class names in DarkPlate HOT 1
- Training question HOT 1
- Multiple video source HOT 7
- Work on any kind of license plate? HOT 3
- How to train with gray channel only? HOT 1
- about license plate datasets HOT 1
- Make error HOT 6
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