Topic collection
Python tools and implementation patterns for research computing.
A practical path from a local Ollama assistant to retrieval and controlled tool use, with explicit privacy, security, versioning, and deployment boundaries.
A local OpenCV method that segments separated plant samples on a uniform background and measures size, shape and colour in calibrated units, with an overlay for every image.
An interactive OpenCV tool that turns raw root scans and photographs into clean binary images through polygon ROI selection, illumination correction, thresholding and brush-based correction, ready for root-trait software.
A concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.
A practical workflow for structuring Python research projects, recording environments, collaborating through Git, and preserving data provenance.
