FaceImageQuality
FaceImageQuality copied to clipboard
pterhoer
Code and information for face image quality assessment with SER-FIQ
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.3.1 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Bumps [joblib](https://github.com/joblib/joblib) from 1.0.1 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....
I am testing ser-fiq score on several data, some of them are very blur or have big angle, some of them are high quality faces. However, from my test, low...
Hi, I've installed everything based on "requirements.txt" file but I'm getting "cannot import name 'ImageRecordInt8Iter' from 'mxnet.io.io'" error when I run "serfiq_example.py" file. Please advise. Thanks.
Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7. Commits 9e9e840 2022.12.07 b81bdb2 2022.09.24 939a28f 2022.09.14 aca828a 2022.06.15.2 de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ... b8eb5e9 2022.06.15.1...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.3.1 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]...
SER-FIQ quality score of image 2 is 2.973152674691055e-05， and in a normal phote score is 0.73。 a attack phote means a image is hard to find a face。 my question...
