OpenCV Bootcamp
OpenCV University
A free, roughly three-hour introduction to OpenCV, the open-source library most computer-vision work in Python is built on. Fourteen modules move from the basics — getting started with images, basic image manipulation, and annotation — through image enhancement and filtering, accessing the camera and writing video, to image features and alignment, panorama stitching, high dynamic range imaging, and object tracking. The last three turn to detection and recognition: face detection, object detection with TensorFlow, and pose estimation with OpenPose. The course comes with videos, quizzes, and Colab notebooks, and completing it earns an official OpenCV certification.
What you'll learn
- Getting started with images, basic image manipulation, and image annotation in Python
- Image enhancement and image filtering
- Capturing from a camera and writing video files
- Detecting image features and aligning two images
- Stitching a panorama, and combining exposures into a high dynamic range image
- Tracking an object across the frames of a video
- Face detection, object detection with TensorFlow, and pose estimation with OpenPose
Frequently asked questions about OpenCV Bootcamp
Who is OpenCV Bootcamp for?
Python developers who want a working grounding in OpenCV — image processing, video, and feature detection — before moving on to training models.
Is OpenCV Bootcamp free?
Yes — OpenCV Bootcamp is completely free to take.
What are the prerequisites for OpenCV Bootcamp?
The course is taught in Python and OpenCV University lists its type as preparatory. Enrollment asks you to state your experience level and which frameworks you are most comfortable with.
Do you need to code for OpenCV Bootcamp?
Yes — OpenCV Bootcamp involves hands-on coding.
Does OpenCV Bootcamp offer a certificate?
Yes. An official OpenCV certification on completing the bootcamp.
Why we suggest this course
For anyone who wants the practical toolkit before the theory: it covers the everyday operations — loading, transforming, filtering, tracking, stitching — that sit underneath almost every vision project, and it comes with notebooks you run rather than slides you watch. One thing worth knowing: most of the fourteen modules are classical image processing rather than machine learning, and the detection and recognition modules arrive at the end. And enrolling means filling in a short form about your experience and framework familiarity and accepting the terms — OpenCV University is a commercial training provider, and this bootcamp is the entry point to its paid programs.