Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
OCR界面识别服务
Basic Info
- Host: GitHub
- Owner: DARPA-4-AUI
- License: mit
- Language: Python
- Default Branch: main
- Size: 431 KB
Statistics
- Stars: 6
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
README.md
OCR - modified for Bait and Switch patterns detection
The project is based on ChineseOCR for Chinese natural scene text detection and recognition. Thanks a lot!!!
Environment Setup
For GPU deployment, refer to: setup.md For CPU deployment, refer to: setup-cpu.md
Model Selection
Bash
Refer to the config.py file
Building Docker Image
``` Bash
Download Anaconda3 Python environment installation package (https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh) and place it in the chineseocr directory
Build the image
docker build -t chineseocr .
Start the service
docker run -d -p 8080:8080 chineseocr /root/anaconda3/bin/python app.py ```
Starting the Web Service
python app.py
Accessing the Service
To use this, you need to modify the image paths inside, or change it to accept image paths as an argument [file_path]
python client.py
Result
The results (in json format) will be stored in the result folder with the same name as their corresponding images.
Result Example
There is an example result in the result folder.
Owner
- Name: DARPA4AUI
- Login: DARPA-4-AUI
- Kind: organization
- Repositories: 1
- Profile: https://github.com/DARPA-4-AUI
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2
Dependencies
Dockerfile
docker
- ubuntu latest build
requirements.txt
pypi
- Cython *
- bs4 *
- easydict *
- h5py *
- ipython *
- jupyter *
- lmdb *
- lxml *
- mahotas *
- matplotlib *
- numpy *
- opencv-contrib-python *
- pandas *
- pika *
- pillow *
- requests *
- scipy *
- web.py ==0.40.dev0