tflite_pipeline

Version, currently master branch1 version
  • master branchlatestJul 31, 2024

github.com/spider-gazelle/tflite_pipeline

video processing AI pipeline leveraging tflite_image

1 stars
1 dependent
License: MIT

Installation

# Add this to your shard.yml
dependencies:
  tflite_pipeline:
    github: spider-gazelle/tflite_pipeline
    branch: master

master is a branch, not a release, so this tracks it rather than pinning a version.

Then run:

shards install

shard.yml

Crystal
no constraint declared
License
MIT
Author
Stephen von Takach

Dependencies

Runtime Dependencies

  • v4l2*github: spider-gazelle/v4l2.cr, branch: master
  • ffmpeg*github: spider-gazelle/ffmpeg, branch: main
  • promise*github: spider-gazelle/promise
  • simple_retry*github: spider-gazelle/simple_retry
  • tflite_image*github: spider-gazelle/tflite_image, branch: master
  • tensorflow_lite*github: spider-gazelle/tensorflow_lite

Development Dependencies

  • ameba*github: veelenga/amebadev
  • stumpy_png*github: stumpycr/stumpy_png, branch: masterdev
  • stumpy_jpeg*github: stumpycr/stumpy_jpeg, branch: masterdev

README

tflite_pipeline

An AI video processing pipeline

Installation

  1. Add the dependency to your shard.yml:

    dependencies:
      tflite_pipeline:
        github: spider-gazelle/tflite_pipeline
  2. Run shards install

Usage

require "tflite_pipeline"

TODO: Write usage instructions here

Development

TODO: Write development instructions here

Contributing

  1. Fork it (https://github.com/spider-gazelle/tflite_pipeline/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request