zbc 279891568b add: readme | 2 weken geleden | |
---|---|---|
cheshi_out | 1 jaar geleden | |
code_ocr | 1 jaar geleden | |
readme.md | 2 weken geleden |
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.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.