maltk

Name	maltk JSON
Version	0.0.0.1 JSON
	download
home_page
Summary	Model Assisted Object Labeling Toolkit
upload_time	2022-12-15 00:48:40
maintainer
docs_url	None
author	Matthew Sessions
requires_python
license
keywords	tensorflow object detection object labeling image labeler model assisted labeling video to image
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Model Assisted Labeling Toolkit

Malt allows users to quickly create labeled images from a video with the help of a predefined model. Creating good training data for object recognition is an iterative process, and malt is designed to speed up each iteration. The typical malt workflow will go as follows:

- Create a sparsely trained Tensorflow Lite Model
- Load and scan through a video to find object positions that are unfamiliar to the model and label those frames
- Adjust the auto-generated bounding boxes to perfectly fit the target object
- Save the labeled frames as images
- Train a new model
- Load the new model and a new video
- Repeat the process

## Install & Launch Malt
> pip3 install maltk
> malt or python3 -m malt




            

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