I build practical tools for image processing and computer vision workflows.
My current interests include:
- Image processing and computer vision
- Dataset preparation and quality inspection
- Object detection and instance segmentation
- GPU inference and model deployment
- Reproducible engineering tools for visual data
A configurable OpenCV-based preprocessing tool with GUI and CLI interfaces. It supports batch enhancement, bright-region detection, image alignment, rotation and cropping.
Python OpenCV Tkinter CLI
A collection of utilities for YOLO detection and segmentation datasets, including synchronized image/label cropping, augmentation, label inspection and LabelMe conversion.
Python YOLO Dataset Tools LabelMe
A small desktop and command-line tool for batch fluorescence-image intensity analysis and Excel export.
Python Image Analysis Tkinter Excel
- ONNX and TensorRT inference workflows
- FP16/INT8 model optimization and accuracy validation
- Multi-stream video inference and performance profiling
- C++ inference applications
Python 路 PyTorch 路 OpenCV 路 NumPy 路 Pandas 路 Git
This profile only contains public, non-sensitive projects and technical notes.