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When you use with video, we'd like the entire inference (vehicle detection + License Plate detection + OCR) to be as fast as possible, so that we can process as many frames as possible. When I have fr…
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Hi,
In here, http://sergiomsilva.com/pubs/alpr-unconstrained/ , you share output on video. Is it possible to share your experience with us. did you use single framework as you suggest in issue #32 …
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Hi,
I would use this project to create an automation on HA to open my house’s gate when my car arrived in front!
I would use:
- free account https://app.platerecognizer.com/products/snapshot-clou…
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I tried to reproduce the results for the OpenALPR datasets.For the European plates I obtained a score (percentage of correctly recognized plates) of 80.41% (93.52% in the paper) and for the Brazilian …
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Deep learning convolutional neural networks seem like the next generation for object detection. The accuracy is significantly better, and it is not tied to particular aspect ratio. This would work v…
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You use 200 samples to train LP detector. is it too few?
augment sample
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Hi,
First of all, super nice project!
I'm using Deepstack as a object detector, and I'm interested if for example after it detects a `car` if i would be able to trigger another Deepstack custom m…
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@YonghaoHe thanks for your work.
I meet a strange problem in license-plate detection, for the same image, when resize it to 320x240, the confidence of the box is 0.99+, but when resize it to 640x4…
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hello im trying your code but i dont get good response from system
example
https://towardsdatascience.com/automatic-license-plate-detection-recognition-using-deep-learning-624def07eaaf
my onl…
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I'm working on car plate scanning for SG vehicle. It's working pretty well for single line vehicle number plate. But it doesn't work for double line. So that I add a new country and train about 900 im…