Skip to main content

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Project description

This is a fork of the origninal https://github.com/ildoonet/tf-pose-estimation. Main change is to restrict tensorflow 1.X. There are some incompatibility issue with tensorflow 2+ we haven't sorted out. Our fork repository is https://github.com/tryagainconcepts/tf-pose-estimation

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

tf_pose-0.10.0.tar.gz (7.3 MB view details)

Uploaded Source

Built Distribution

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

tf_pose-0.10.0-cp37-cp37m-macosx_10_15_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file tf_pose-0.10.0.tar.gz.

File metadata

  • Download URL: tf_pose-0.10.0.tar.gz
  • Upload date:
  • Size: 7.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for tf_pose-0.10.0.tar.gz
Algorithm Hash digest
SHA256 188fd3186b751e1cba12928a43b42327d70054de17a5960dc3c1058e723ba767
MD5 2f8f7b73ba31767548d7aec4ddb5fe1f
BLAKE2b-256 4aab98d08301681c0f4eaa6aabea2072553fe3c8da10c24672fbf975a5782ee5

See more details on using hashes here.

File details

Details for the file tf_pose-0.10.0-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tf_pose-0.10.0-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 7.3 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

File hashes

Hashes for tf_pose-0.10.0-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 14841f56f30187f6d5a3572e02fbac18977d0fafbdbe3bb6171343c62666547b
MD5 3d126a611ce6dfda7f3c1bf81f30969f
BLAKE2b-256 6d44a0202823863212ffac74a272f9205c2b712207c19540ff976103be187af9

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