Five-Project Series
Computer Vision Applications using OpenCV you own this product
- prerequisites
- basics of Python • basics of NumPy and pandas • high-school linear algebra • basics of OpenCV
- skills learned
- creating and modifying new/existing images • displaying images using OpenCV • changing pixel values in an image • performing object detection
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In this series of liveProjects, you’ll master the powerful open-source computer vision library OpenCV by creating five separate and fully functional projects. Each project covers a new usage of OpenCV, building in complexity from background creation all the way to facial detection.
These projects are designed for learning purposes and are not complete, production-ready applications or solutions.
here's what's included
Project 1 Create a Color Blender
In this quick liveProject, you’ll build a custom graphic design tool that can generate a matching RGB color palette for a chosen color. You’ll create a blank canvas using NumPy arrays, display images using OpenCV, track a user’s activity with mouse events and flags, and also handle keyboard input.
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Project 2 Apply a Face Mask to a Selfie
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In this quick liveProject, you’ll develop a selfie enhancement application to build awareness of the importance of mask-wearing during a pandemic. You’ll use a laptop webcam to capture a user’s selfie, load a face mask image with a transparent background, and apply the face mask onto the image at the location selected by the user.
Project 3 Add Background to a Green Screen Video
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In this quick liveProject, you’ll develop a low-resource way to add a background to a green screen video using thresholding. You’ll read the frames of a green screen video, perform thresholding to separate the green screen background, apply the new background image, and write the revised frames to a new video.
Project 4 Detect a Face Using Haar Cascades
Welcome to the era of digital security! In this quick liveProject, you’ll develop an efficient solution for detecting faces in a live video stream. You’ll need to read an input video from a webcam, detect faces present in the input video stream, draw bounding boxes around the detected faces, and then write the detected faces to a new video.
Project 5 Detect Eyes Using Haar Cascades and Hough Transformation
Prerequisites
This liveProject is for aspiring OpenCV developers with some knowledge of Python. To begin these liveProjects, you will need to be familiar with the following:
TOOLS
- Basics of Python
- Basics of NumPy
- Creating NumPy arrays
- NumPy array datatypes
- Extracting values from NumPy array
- Basics of OpenCV
- Reading and writing images using OpenCV
- Colorspaces in OpenCV
you will learn
In this liveProject you’ll learn essential OpenCV skills for developing useful computer vision applications.
- Creating NumPy arrays
- Displaying images using OpenCV
- Using mouse events and flags to track user's activity on display window
- Handling keyboard input
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
