charleslf2/visionner
Visionner turn raw image data into numpy array, more suitable for deep learning task
This tool helps machine learning engineers and researchers prepare image data for training deep learning models. It takes folders of raw image files and converts them into structured numerical arrays. The output can then be easily split, normalized, and visualized, streamlining the initial data preparation phase of computer vision projects.
No commits in the last 6 months. Available on PyPI.
Use this if you need to efficiently load, process, and organize raw image files into a format suitable for deep learning model training.
Not ideal if your primary need is advanced image manipulation, annotation, or a graphical interface for data labeling.
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Language
Python
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Last pushed
Jul 06, 2023
Commits (30d)
0
Dependencies
4
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