https://github.com/dacrol/pynothotdog

Use deep learning to identify hotdogs
https://github.com/dacrol/pynothotdog

deep-learning flask machine-learning mxnet neural-network

Last synced: about 1 month ago
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Use deep learning to identify hotdogs

• Host: GitHub
• URL: https://github.com/dacrol/pynothotdog
• Owner: Dacrol
• License: apache-2.0
• Created: 2017-10-12T20:46:59.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-11-17T14:34:01.000Z (over 8 years ago)
• Last Synced: 2025-07-24T01:45:30.710Z (11 months ago)
• Topics: deep-learning, flask, machine-learning, mxnet, neural-network
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
## PyNotHotdog

Uses MXNet with a pre-trained model to identify hotdogs via a web interface.  

Run with "python web.py", then http://localhost:5000/  

Downloads approximately 310 MB of parameter data on first run.