https://github.com/shvbsle/image-augmentation

A light weight CLI for augmenting image datasets for deep learning and ML projects
https://github.com/shvbsle/image-augmentation

augmentation data data-augmentation data-augmentation-strategies data-augmentor data-augumentation data-science dataset deep-learning image-processing

Last synced: 10 months ago
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A light weight CLI for augmenting image datasets for deep learning and ML projects

• Host: GitHub
• URL: https://github.com/shvbsle/image-augmentation
• Owner: shvbsle
• Created: 2019-02-11T17:00:23.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-12T08:52:13.000Z (over 7 years ago)
• Last Synced: 2025-01-02T18:24:40.881Z (over 1 year ago)
• Topics: augmentation, data, data-augmentation, data-augmentation-strategies, data-augmentor, data-augumentation, data-science, dataset, deep-learning, image-processing
• Language: Python
• Size: 5.11 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# image-augmentation

My simple light weight CLI for augmenting image datasets for my deep learning and ML experiments

# Usage

- To see the tool help enter "python3 imaug.py -h" on the terminal

- Open the config.json and put select the transformation you are interested in for augmentation

- For mass image augmentation, put images in "input" folder and expect the output in "out" folder

- The tool alternatively also accepts a single image path as in input for transformation. Transformation prefixes are decided internally.