Skip to main content

This model has been trained on VGGv2 and tested on LFW with 92% accuracy.

Project description

ResFacenet

This package is intended as an pytorch hub entry point for my trained facenet model on this repo khrlimam/facenet. This pretrained model can be used for anyone who want to use it for transfer learning or any other applications.

This model trained on VGGv2 dataset and tested on LFW dataset and gained 92% accuracy.

This work is distributed under MIT license, so I hope you consider the license's policy. Cheers!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

facenet-khairulimam-0.0.2.tar.gz (2.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

facenet_khairulimam-0.0.2-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file facenet-khairulimam-0.0.2.tar.gz.

File metadata

  • Download URL: facenet-khairulimam-0.0.2.tar.gz
  • Upload date:
  • Size: 2.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for facenet-khairulimam-0.0.2.tar.gz
Algorithm Hash digest
SHA256 ed0b79fad67bf734b952db512e55a8167e5854a22b4eb8a8999cd50d6c082119
MD5 33b58a47e3deef7052f63b28a7945eca
BLAKE2b-256 cd6b24836725e0b95a74fec9a3c1af7bd4e0eb49c668c4d79fca9a9bc5757c74

See more details on using hashes here.

File details

Details for the file facenet_khairulimam-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: facenet_khairulimam-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for facenet_khairulimam-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 37d12ceab353d92912d9697643858c7bb5a5dfdf7cb291589dcb158c1e2ee773
MD5 d7288c551906dcd1c553784d6c557e66
BLAKE2b-256 4a0951117e857da2b1b6a87b18b3785e5bd9f72ce39ed54d68b5311fb4c0d6a3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page