https://github.com/geeksloth/eeasyocr
An edged demo of EasyOCR
https://github.com/geeksloth/eeasyocr
easyocr
Last synced: about 1 year ago
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An edged demo of EasyOCR
- Host: GitHub
- URL: https://github.com/geeksloth/eeasyocr
- Owner: geeksloth
- Created: 2022-08-21T06:46:47.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-10-26T06:51:44.000Z (over 3 years ago)
- Last Synced: 2025-03-25T16:52:19.242Z (about 1 year ago)
- Topics: easyocr
- Language: Python
- Homepage:
- Size: 570 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# eEasyOCR #
An edge-version demonstration of [EasyOCR](https://github.com/JaidedAI/EasyOCR "EasyOCR"). Find text in uploaded image and get response in array format with confidence score.
## Getting started ##
1. Clone the script:
```bash
git clone https://github.com/geeksloth/eEasyOCR.git && cd eEasyOCR
```
2. Running the script
- For an easier way, use Docker container:
```bash
docker compose up
```
- Otherwise, run on host environment. These following packages are required:
```bash
python3 -m pip install Flask Pillow easyocr
```
```bash
python3 main.py
```
3. Test
Run the script by typing ```ip:port``` in the browser:
```bash
localhost:5002
```
## Configuration ##
- To use this script in your language, modify the ```main.py``` at the line ```ocr = easyocr.Reader(['th', 'en'])``` by add the supported languages referred to official page: [Jaided's EasyOCR](https://www.jaided.ai/easyocr/ "EasyOCR")
- Install ```pytorch``` with GPU support wich work with ```CUDA``` for more performance and efficiency.
- For NVIDIA device e.g. Jetson series, use the `nvidia runtime` in the `docker-compose.yml` file.