imgshape 2.0.1

🖼️ Get image shapes, analyze type, get preprocessing recommendations & check model compatibility

🖼️ imgshape — Smart Image Analysis & Preprocessing Toolkit (v2.0.1)

imgshape is a lightweight Python toolkit designed for image shape detection, dataset inspection, preprocessing recommendation, and AI model compatibility checks — all optimized for ML/DL workflows, both in research and production.

⚡️ Why use imgshape?

• 🔍 Automatically detect shape, dominant color, entropy, and type of an image.
• 🧠 Recommend preprocessing steps like resize dims, normalization, and suitable model types.
• 🖬 Analyze entire datasets to get size/shape distribution and dimension scatter plots.
• ✅ Check model compatibility (e.g. with mobilenet_v2, resnet18, etc.).
• 🌐 Supports CLI, Python API, and even a Gradio-based GUI for visual workflows.

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🚀 Installation

pip install imgshape

Requires Python 3.8+ and packages: Pillow, matplotlib, seaborn, numpy, scikit-image, gradio

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💻 CLI Usage

imgshape --path ./sample.jpg                  # Get image shape
imgshape --path ./sample.jpg --analyze        # Analyze image type and entropy
imgshape --path ./sample.jpg --recommend      # Recommend preprocessing steps
imgshape --dir ./images --check mobilenet_v2  # Check dataset compatibility with a model
imgshape --batch --path ./folder              # Batch mode shape detection
imgshape --viz ./images                       # Visualize size/shape distribution
imgshape --web                                # Launch Gradio GUI