We are going to use deep-text-recognition-benchmark repository to recognize persian license plate numbers .
pip install -r requirements.txt
python main.py --recognizer_weights weights\dtrb_recognizer\Dtrb_TPS-ResNet-BiLSTM-Attn_License_Plate_Recognizer.pth --input_image io\input\image3.jpg --threshold 0.5
This command will run the main.py file and pass the values for the --recognizer_weights, --input_image, and --threshold arguments as specified in your code. Make sure to navigate to the directory where your main.py file is located before running this command.
| Ground Truth | predicted_labels | confidence score |
|---|---|---|
 |
76t16522 | 0.9975 |
 |
38e47755 | 0.9854 |
| Ground Truth | predicted_labels | confidence score |
|---|---|---|
 |
62q97366 | 0.9986 |
 |
3m1970 | 0.1528 |
| Ground Truth | predicted_labels | confidence score |
|---|---|---|
 |
89q56966 | 0.9948 |
 |
34b29855 | 0.7967 |