GitHub / InseeFrLab / funathon2023_sujet4
Produire une application qui scanne le code barre d'un produit et donne sa composition nutritionnelle
JSON API: https://data.code.gouv.fr/api/v1/hosts/GitHub/repositories/InseeFrLab%2Ffunathon2023_sujet4
Stars: 0
Forks: 2
Open issues: 2
License: mit
Language: Jupyter Notebook
Size: 1.7 MB
Dependencies parsed at:
24
Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: 6 days ago
Topics: datascience, deployment, python, streamlit
.github/workflows/docker.yml
actions
- actions/checkout v3 composite
- docker/build-push-action v3 composite
- docker/login-action v1 composite
- docker/metadata-action v4 composite
- docker/setup-buildx-action v1 composite
- docker/setup-qemu-action v1 composite
.github/workflows/publish.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
- quarto-dev/quarto-actions/publish v2 composite
- quarto-dev/quarto-actions/setup v2 composite
Dockerfile
docker
- inseefrlab/onyxia-jupyter-python py3.10.9 build
requirements.txt
pypi
- PyYAML *
- duckdb *
- fasttext *
- matplotlib *
- opencv-python *
- pandas *
- plotly *
- pyarrow *
- pyzbar *
- scikit-image *
- streamlit *
- streamlit-javascript *
- xlrd *