https://github.com/alan-turing-institute/imagelabeller
Simple Flask app to allow users to label images and save results in a database
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 (9.2%) to scientific vocabulary
Repository
Simple Flask app to allow users to label images and save results in a database
Basic Info
- Host: GitHub
- Owner: alan-turing-institute
- License: mit
- Language: Python
- Default Branch: master
- Size: 754 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 3
- Open Issues: 6
- Releases: 0
Metadata Files
README.md
ImageLabeller
Simple Flask app to allow users to label images and save results in a database. Can be run either via docker-compose or directly. For deploying as a web-app, we recommend the docker-compose option - see instructions for this here.
Running with Docker(compose)
If you have Docker and docker-compose installed, just run the commands
docker-compose build
docker-compose up
Then point your browser to localhost:80/.
Requirements for running locally (native)
It is recommended to use a virtualenv or conda environment to run this, in order to avoid the risk of clashes with other python packages.
pip install -r requirements.txt
Run the flask app
From this directory, run
python il_app.py
Then navigate your browser to http://localhost:5000
Upload data
First, put the data you want to load into a zip archive.
* Put all the files into a single directory and cd to that directory.
* Do zip -f <zipfilename> . - it is recommended that you name the zipfile with "/admin/upload then select your zipfile and click "Save".
Retrieve the data
If you are a user with admin rights, navigate to http://localhost:5000/admin/download to retrieve the assigned labels as a .csv or .json file.
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Issues event: 1
Last Year
- Issues event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 10
- Total pull requests: 4
- Average time to close issues: N/A
- Average time to close pull requests: 3 minutes
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- nbarlowATI (5)
- edaub (1)
Pull Request Authors
- nbarlowATI (2)