CVND_Exercises

Why we included this project

This is the exercise set that ships with Udacity's Computer Vision Nanodegree, and it's best treated as a learning resource, not deployable software. The notebooks work through the main techniques of the field in PyTorch and OpenCV, from CNN fundamentals to image filtering, feature detection, and object recognition, and many are only partially filled in so you can practice completing them yourself. For developers and students who want hands-on familiarity with computer vision before settling on a production stack, working through these is a direct way to see how the concepts translate into real code. It's also a handy reference for common setup patterns, such as creating a conda environment with PyTorch and torchvision, that you can adapt for your own projects. Just treat it as a structured tutorial collection, not something to drop into a live pipeline.