✨ imgLLM is a Jupyter-based intelligent assistant powered by LLMs and computer vision models, purpose-built for bio-image analysis tasks. Whether you're segmenting cells, classifying tissue samples, or simply exploring image data, imgLLM makes your work smoother, faster, and a lot more fun!
🧠 Ask questions and generate Python code for bio-image analysis — powered by GPT-style models!
🧬 Integrate with OpenCV, scikit-image, and deep learning models (like U-Net, Cellpose) directly from the notebook.
⚙️ Use sliders, dropdowns, and image canvases to interact with models and outputs dynamically.
📂 Out-of-the-box support for formats like TIFF, NIfTI, DICOM, and .h5.
✍️ Get intelligent fixes for failing cells and code generation for your analysis steps.
💡 Talk to your data! Ask questions like "Segment all nuclei" or "Show cells larger than 50 microns".
git clone https://github.com/krishpranav/imgllm.git
cd imgllm
pip install -r requirements.txt