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Advanced ANPR is a system which detect and recognize all the number plates with different sizes, fonts and styles from the video, image or Realtime CCTV footages with higher accuracy and efficiency

License: MIT License

Python 100.00%
anpr-system custom-training deep-learning easyocr fancy-number-plate machine-learning number-plate-detection number-plate-recognition object-detection tesseract-ocr text-recognition yolov8

advanced-automatic-number-plate-recognition-system-anpr-'s Introduction

Hi 👋, I'm Samay Jain

An enthusiastic Software Engineer from INDIA

  • 🌱 I’m currently learning Data Science and Machine Learning

  • 👯 I like to develop projects using Java and Database

  • 😃 I am a Freelancer

  • 💬 Ask me about Java Development

  • 📫 How to reach me: [email protected]

  • 😄 Pronouns: Samay (S-uh-m-uh-y; समय)

  • ⚡ Fun fact: Even if I am in an event or friend circle, I keep getting lost in thoughts, because of which I keep forgetting the point of conversation😂

samay-jain

 samay-jain

advanced-automatic-number-plate-recognition-system-anpr-'s People

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advanced-automatic-number-plate-recognition-system-anpr-'s Issues

Acessing model

Hai,

Can you please allow me to access model from google drive

thanks

there is some problem with bestn.pt

Error executing job with overrides: ['model=bestn.pt', 'source=test video.mp4']
Traceback (most recent call last):
File "/home/frostfire/anprtrial/Advanced-Automatic-Number-Plate-Recognition-System-ANPR--main/predict.py", line 149, in predict
predictor()
File "/home/frostfire/.local/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/frostfire/anprtrial/Advanced-Automatic-Number-Plate-Recognition-System-ANPR--main/ultralytics/yolo/engine/predictor.py", line 164, in call
model = self.model if self.done_setup else self.setup(source, model)
File "/home/frostfire/anprtrial/Advanced-Automatic-Number-Plate-Recognition-System-ANPR--main/ultralytics/yolo/engine/predictor.py", line 121, in setup
model = AutoBackend(model, device=device, dnn=self.args.dnn, fp16=self.args.half)
File "/home/frostfire/anprtrial/Advanced-Automatic-Number-Plate-Recognition-System-ANPR--main/ultralytics/nn/autobackend.py", line 73, in init
model = attempt_load_weights(weights if isinstance(weights, list) else w,
File "/home/frostfire/anprtrial/Advanced-Automatic-Number-Plate-Recognition-System-ANPR--main/ultralytics/nn/tasks.py", line 303, in attempt_load_weights
ckpt = torch.load(attempt_download(w), map_location='cpu') # load
File "/home/frostfire/.local/lib/python3.9/site-packages/torch/serialization.py", line 986, in load
with _open_file_like(f, 'rb') as opened_file:
File "/home/frostfire/.local/lib/python3.9/site-packages/torch/serialization.py", line 435, in _open_file_like
return _open_file(name_or_buffer, mode)
File "/home/frostfire/.local/lib/python3.9/site-packages/torch/serialization.py", line 416, in init
super().init(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: 'bestn.pt'

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

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