Skip to main content

Tools to help with the scripts created by asanAI

Project description

asanAI Python Module

Release Workflow

asanAI is a Python module that allows you to execute scripts generated from machine learning models created in asanAI. It handles all necessary conversions from TensorFlow.js to Python and provides seamless integration for running, visualizing, and interacting with models locally.

⚠️ Note: Users typically do not need to install this module manually. It is automatically handled by the scripts generated by asanAI.


Features

  • Execute scripts generated from asanAI directly in Python.
  • Automatic conversion of TensorFlow.js models to Python TensorFlow (Keras) format.
  • Support for TensorFlow Sequential models.
  • Visualization support for:
    • Webcam input
    • Static image input
    • Simple and complex image outputs
    • Classification outputs with labeled probabilities
  • Beginner-friendly while still supporting advanced usage.

Getting Started

  1. Create model On asanAI, create and train a model

  2. Download your model On asanAI, click Code and there, "Download model data" (or "Modelldaten downloaden"). Place the downloaded file in the same folder as your generated Python script.

  3. Run the script

python3 your_script.py          # Predict using webcam or default behavior
python3 your_script.py 1.jpg 2.jpg 3.jpg  # Predict on specific images

Project details


Release history Release notifications | RSS feed

This version

293

Download files

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

Source Distribution

asanai-293.tar.gz (25.6 kB view details)

Uploaded Source

Built Distribution

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

asanai-293-py3-none-any.whl (59.6 kB view details)

Uploaded Python 3

File details

Details for the file asanai-293.tar.gz.

File metadata

  • Download URL: asanai-293.tar.gz
  • Upload date:
  • Size: 25.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.24

File hashes

Hashes for asanai-293.tar.gz
Algorithm Hash digest
SHA256 a8c417f8f782132b387d9a9c4bd170f958790950d7bb2f36b72bc41452c55ea9
MD5 58e6110e57ca820dd1396cec1225abc5
BLAKE2b-256 6ee55fefa4642d2e5acf4c44bafdcac7303f2cf7e7d2efbff9fb8bf7400c276a

See more details on using hashes here.

File details

Details for the file asanai-293-py3-none-any.whl.

File metadata

  • Download URL: asanai-293-py3-none-any.whl
  • Upload date:
  • Size: 59.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.24

File hashes

Hashes for asanai-293-py3-none-any.whl
Algorithm Hash digest
SHA256 f3b5a37a0a8f89c7528acb4233a8aeaf305434e0e846ff25c2333080d596af53
MD5 4f0269744071abb495dd3fa5bf6dd7cb
BLAKE2b-256 00198a8d8500c84ed4726ed1cf1b68e021a7740b55ae2247c56176d3c92ae8ee

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