Personal learning notebooks and practice files for computer vision, OpenCV, NumPy, Matplotlib, object detection, object tracking, and image processing exercises.
The original notes use the included Conda environment file:
conda env create -f cvcourse_windows.yml
conda activate python-cvcourse
jupyter-lab- Jupyter notebooks for image processing and object detection practice.
DATA/sample images, videos, Haar cascades, and LBP cascades used by the notebooks.- Small helper scripts and course notes.
Images, videos, datasets, cascade files, and notebook outputs may have separate licenses or usage restrictions. Verify the source and license of each dataset or media asset before reuse, redistribution, or publication.
Large notebooks and media files are kept as-is for reviewability; no outputs, datasets, images, or videos were removed.