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+# FOT OCR Model Deployment Project
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+
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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.
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+
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+## Project Steps
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+
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+1. **Data Import**: Import the new data to be processed into the `field_data` directory.
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+2. **Navigate to OCR Code**: Enter the `code_ocr` folder.
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+3. **Run Evaluation**: Execute the evaluation script by running:
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+ ```bash
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+ ./eval.sh
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+
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+ ```
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+
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+## Code and Data Location
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+
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+- **Server URL**: `192.168.20.250`
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+- **Directory**: `/data/liudan/ocr`
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+
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+## Features
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+- **Data Preprocessing**: Scripts to preprocess OCR images before feeding into the model.
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+- **Model Training**: Code to fine-tune the FOTS model with the new data.
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+- **Model Evaluation**: Scripts to assess the model's performance after fine-tuning.
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+
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+## Contact
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+For any inquiries, please contact the project team.
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+
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