[GreenLabs] - Face Recognition
This library written in MXNET framework.
Author: HungLV
Last Update: July 13, 2020
It features:
- Face Detection
- Extract Face Embedding
- Search Face in database
Code:
Documentation:
User-Guide:
Model zoo:
Tech report:
What's new
[Jul 9]Initial version[Jul 13]Make the models can run on GPU/CPU. Integratedrcnnlibrary.
Installation
Make sure conda is installed
pip install green-face-recognition
Getting started
Prepare the config file as yaml type. Take a look this example.
Show the list of models
from face_recognition import models
models.show_avai_models()
Load the models
retina_model = models.build_model('retina-r50',config_path)
arcface = models.build_model('arc-face',config_path)
Make the prediction
# get faces and landmarks
retina_model.detect_fast(img,img.shape,0.8,[1],do_flip=False)
Appendix
Generate the distributions for uploading to server
python3 setup.py sdist bdist_wheel
Upload to server
python3 -m twine upload --repository pypi dist/*
Reference
1 maintainer
Metadata
1 maintainer
Release files for green-face-recognition 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| green_face_recognition-0.1.6.tar.gz | 9.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| green_face_recognition-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.2 kB
Release files / green_face_recognition-0.1.6.tar.gz
| Download URL | green_face_recognition-0.1.6.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2f24c2f676b7d906cb03877ca389681699725e5b7dabda2d4061b0f2f778b6a1
|
|
BLAKE2b-256 checksum How to use checksums |
ba030cc17002e9b2150d42864e48bb5a64c529696e7b87d79bfe7be78a061f25
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
|
Release files / green_face_recognition-0.1.6-py3-none-any.whl
| Download URL | green_face_recognition-0.1.6-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ecd4e9725a1382258f3816e59598fabbae3f9dbcb64df1297c9822dd64851cc4
|
|
BLAKE2b-256 checksum How to use checksums |
f13eadbc447285a8bacf769adc9d2ea632579baa06628f600e6d76ca6cf129f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
|
Security for green-face-recognition 0.1.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
