A small example package
Project description
image-hashing
facial-extractor
PyPi: flare-image-hashing
API
-
hash_image- Average Hash computation of the given image.
-
are_similar- Returns True if two images are relatively similar.
Publishing the package
- Install packages in
requirements.txt - Bump the version number in setup.cfg
- Building (Now run this command from the same directory where pyproject.toml is located):
python3 -m build - Get the PyPI API token
- Run Twine to upload all the archives under
dist:python3 -m twine upload dist/* - username:
__token__ - password: the PyPi token including the
pypi-prefix
Shortcut
python3 -m build && python3 -m twine upload dist/*
Helpful links
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Source Distribution
Built Distribution
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Hashes for flare-image-hashing-0.0.6.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4c1ec2c5f707bfe84d2bac71160d3be540acd6930f020666ca9f3380f1e45b3d |
|
| MD5 | 364043f53a5e15d87931796f6f499ff9 |
|
| BLAKE2b-256 | 8261f9ba8239f30bb715137d6293813f7684c8cf88c4924353766c6c6a3fc2f0 |
Close
Hashes for flare_image_hashing-0.0.6-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1a559aa51d97205eb625d458abac9222ee6cd0118b87cb3bf02f923225fe7bfc |
|
| MD5 | 926b0563d4034b32efe875de4219a570 |
|
| BLAKE2b-256 | d35e3a91218e921c5b2a6b0f1670edcbc0575634d99884ea510fa7b235d1d58f |
