Skip to main content

a cool demo for Montreal Python 6 to do real time digits recognition using Machine Learning and good Features

Project description

At Montreal-Python6, I have presented a real-time hand digit real-time demo. This demo allows you to do real-time digit recognition from your digital camera. It allows you to load any trained neural network and apply in real time the same features extraction. This demo allows you to train, extract features, used trained neural networks inside real-time demo, visualize features in 2D and their frequency distribution and get feature discriminant weight.

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

digipy-0.1.1.tar.gz (2.3 MB view details)

Uploaded Source

File details

Details for the file digipy-0.1.1.tar.gz.

File metadata

  • Download URL: digipy-0.1.1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for digipy-0.1.1.tar.gz
Algorithm Hash digest
SHA256 8ffa7c830b1c31ed73bedbbb52003aeff93e69d3b4195803077e819e69977adb
MD5 fe38d17133a831177cc4e79025f0ca60
BLAKE2b-256 b3b379ecdcdfc8595d02634ee0881ceb71a2dc65464a398e71d2d9a7f93b6a7d

See more details on using hashes here.

Supported by

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