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This project involves the deployment of an FOTS model for OCR (Optical Character Recognition) on-site data collected from digital meters. The pipeline includes preprocessing the collected OCR image data, fine-tuning the FOTS model, and evaluating the model performance. This repository includes code for data preprocessing, training, and model evaluation.
field_data
directory.code_ocr
folder.Run Evaluation: Execute the evaluation script by running:
./eval.sh
192.168.20.250
/data/liudan/ocr
For any inquiries, please contact the project team.