The challenge is to take the previous method of haar cascading and apply it to detect and draw circles around eyes found in an image. Note that a new training set on eyes is included to perform this task.
- [Instructor] Let's complete this chapter with a challenge.…Specifically, let's try and find all…the eyes in an image and place circles around them.…To do this, leverage a haarcascade method similar…to how we detected faces in the previous module.…This time, use the provided haarcascade_eye.xml file,…which has specifically been pre-trained…for detecting eyes in an image.…Additionally, try to reduce the number…of false positives and false negatives as much as possible.…In this scenario, a false positive…is drawing a circle where there's not…an eye, and a false negative is not drawing…a circle where there is an eye.…
This exercise should take between…10 and 15 minutes to complete.…
AuthorPatrick W. Crawford
- Installing and configuring OpenCV
- Data types and structures
- Image types
- Manipulating pixels
- Scaling and rotating images
- Using video inputs
- Creating custom interfaces
- Object detection
- Face and feature detection
- Template matching
Skill Level Intermediate
Python: Programming Efficientlywith Michele Vallisneri2h 15m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
1. Install and Configure OpenCV
2. Basic Image Operations
3. Object Detection
4. Face and Feature Detection
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