https://github.com/jloveric/image-processing

Attempt to parameterize objects in images so they can be used in ML
https://github.com/jloveric/image-processing

Last synced: 2 months ago
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Attempt to parameterize objects in images so they can be used in ML

• Host: GitHub
• URL: https://github.com/jloveric/image-processing
• Owner: jloveric
• Created: 2020-01-14T17:21:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-09-08T03:18:50.000Z (almost 4 years ago)
• Last Synced: 2025-03-16T14:04:16.752Z (3 months ago)
• Language: Python
• Homepage:
• Size: 2.65 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
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# Image Processing

This is an experiment in parameterizing objects in images.  A goal here is to use the parameterization in an image recognition technique that is scale, shift and rotation invariant.  The parameterization can be used to translate 2D shapes into 1D representation.  I believe segmentation and parameterization should be the top level computation in machine perception.  This is also a work in progress.

# Installation

```bash

pipenv install snovalleyai-image-processing

```

# Loading

```python

from snovalleyai_image_processing import *

```

## Example 1 - mnist digit

![](Parameterization.png)

## Example 2 - old North Bend Washington downtown

![](NorthBendParameterization.png)