|
|
@@ -0,0 +1,26 @@
|
|
|
+# FOT OCR Model Deployment Project
|
|
|
+
|
|
|
+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.
|
|
|
+
|
|
|
+## Project Steps
|
|
|
+
|
|
|
+1. **Data Import**: Import the new data to be processed into the `field_data` directory.
|
|
|
+2. **Navigate to OCR Code**: Enter the `code_ocr` folder.
|
|
|
+3. **Run Evaluation**: Execute the evaluation script by running:
|
|
|
+ ```bash
|
|
|
+ ./eval.sh
|
|
|
+ ```
|
|
|
+
|
|
|
+## Code and Data Location
|
|
|
+
|
|
|
+- **Server URL**: `192.168.20.250`
|
|
|
+- **Directory**: `/data/liudan/ocr`
|
|
|
+
|
|
|
+## Features
|
|
|
+- **Data Preprocessing**: Scripts to preprocess OCR images before feeding into the model.
|
|
|
+- **Model Training**: Code to fine-tune the FOTS model with the new data.
|
|
|
+- **Model Evaluation**: Scripts to assess the model's performance after fine-tuning.
|
|
|
+
|
|
|
+## Contact
|
|
|
+For any inquiries, please contact the project team.
|
|
|
+
|
