How are you using imgshape?

[STiFLeR7]

Hey everyone 👋

imgshape just crossed ~3,000 downloads 🎉 — with 1,251 downloads from the US region alone!
This is huge momentum for a project that started as a simple image shape toolkit and is now growing into a versatile library for ML/DL workflows.

💡 For anyone new:
imgshape is a lightweight Python toolkit designed for:

• Image shape detection
• Dataset inspection & preprocessing
• Recommender-based augmentation plans
• AI model compatibility checks

All optimized for research and production pipelines.
👉 PyPI: https://pypi.org/project/imgshape/

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What I’d love to know from you:

• How are you using imgshape in your own projects?
• Are you plugging it into training pipelines, preprocessing scripts, or research workflows?
• Any integrations with OpenCV, TorchVision, or PIL?
• Any surprising or unusual hacks you’ve tried?

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Why this matters

Your feedback shapes the roadmap. Real-world usage helps prioritize:

• Which features to improve
• What integrations to add
• Where optimizations matter most (edge devices, clusters, etc.)

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Drop your stories, code snippets, or just quick thoughts below.
Let’s build the future of imgshape together 🚀🔥