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OpenCV Python Development
Learn how to process images and videos to detect objects and featuresPreview the first lesson free — get full access to all 46 lessons.
Intermediate Provider : Tom Rosenwinkel 7 chapters · 46 Lessons · 3h 29m in English
Course Description
OpenCV is a well-established open source project that makes computer vision available to any Python developer. Learning how to process images and videos and extract features relevant to your project is an essential skill in many data and application projects. The topics discussed in this course will provide a foundation for future work in computational image enhancement or computer vision AI applications. It can extract relevant information from images and videos, such as locations and attributes of objects, and can even integrate image data into your Python development project.
In this course on OpenCV Python Development, you will learn how to create Python development projects using OpenCV to detect objects and features. We will explore data structures for images and videos in OpenCV, processing images and videos, and detect objects and features. By the end of this course, you will be able to construct and deconstruct images and videos in OpenCV and detect objects and features of interest.
What You'll Learn
- Create Python development projects using OpenCV to detect objects and features
- Explore data structures for images and videos in OpenCV, including Numpy array representations
- Process images and videos through filtering, transformations, blending, and morphological operations
- Manipulate pixels, regions, and color channels by splitting and merging them
- Detect objects and features using thresholding, skin detection, and edge detection
- Construct and deconstruct images and videos in OpenCV
Key Takeaways
- OpenCV is an open source project that makes computer vision available to any Python developer.
- Processing images and videos and extracting features relevant to a project is an essential skill in many data and application projects.
- OpenCV can extract relevant information from images and videos, such as the locations and attributes of objects.
- The course provides a foundation for future work in computational image enhancement or computer vision AI applications.
- By the end of the course, learners can construct and deconstruct images and videos in OpenCV and detect objects and features of interest.
Frequently Asked Questions
Who is this course for?
It is for Python developers who want to use OpenCV to process images and videos and detect objects and features.
What will I learn in this course?
You will learn the data structures for images and videos in OpenCV, how to process images and videos, and how to detect objects and features, building projects in Python using OpenCV.
What skills does this course cover?
It covers Computer Vision, Feature Detection, Object Detection, OpenCV, Python Imaging Libraries, and Video Processing.
Does the course cover setting up the environment?
Yes, it includes lessons on installing Python, virtual environments, and installing OpenCV.
What image processing topics are included?
Topics include grayscale and color images, drawing and annotations, pixel and region manipulations, color channels, padding and borders, translations and rotations, affine and perspective transforms, filtering, morphological transformations, and image blending.
