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- Level Intermediate
- Duration 3 hours
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In this 1.5 hour long project-based course, you will apply computer vision techniques to process images, extract useful features and detect shapes using Hough transforms. By the end of this project, you will have analyzed real-world images using industry standard tools, including Python and OpenCV. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Auto Summary
Unlock the world of computer vision with "Recognizing Shapes in Images with OpenCV," a focused, project-based course designed for IT and Computer Science enthusiasts. Guided by expert instructors from Coursera, you will delve into the intricacies of image processing, utilizing powerful tools like Python and OpenCV to extract and detect shapes via Hough transforms. In just 1.5 hours, you’ll gain hands-on experience analyzing real-world images, equipping you with practical skills that are highly valued in the industry. This professional-level course is ideally suited for learners in North America, with efforts underway to extend accessibility to other regions. Join this engaging course through a Starter subscription and elevate your understanding of computer vision techniques. Perfect for professionals looking to enhance their technical expertise and apply cutting-edge methodologies in their field.