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Computer Vision with Python and OpenCV
Take our Computer Vision course to learn OpenCV! In this course, you’ll use the OpenCV Python library to process and analyze images and video data.
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What You’ll Learn
- Understand basics of NumPy
- Manipulate and open Images with NumPy
- Use OpenCV to work with image files
- Use Python and OpenCV to draw shapes on images and videos
- Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
- Create Color Histograms with OpenCV
- Open and Stream video with Python and OpenCV
- Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
- Create Face Detection Software
- Segment Images with the Watershed Algorithm
- Track Objects in Video
- Use Python and Deep Learning to build image classifiers
- Work with Tensorflow, Keras, and Python to train on your own custom images.
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Course Content
This course covers everything you need to know to become an expert in computer vision! You’ll start the course by learning about numerical processing and image manipulation with the NumPy library. The course will teach you how to use the OpenCV library to open and work with image basics to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more. After covering images, you’ll learn video basics with OpenCV, including working with streaming video, optical flow and object detection, including face detection and object tracking. The latest and more advanced deep learning topics will be covered as well including image recognition, custom image classifications, and the YOLO (you only look once) deep learning network.
- Numpy
- Image Handling with Python & OpenCV
- Image I/O
- Thresholding
- Filtering
- Histograms
- Template Matching
- Gradient based Methods
- Edge Detection
- Object Detection
- Facial Recognition (you cover face detection, but expansion to facial recognition is trivial with dlib – Lets discuss!)
- Video Handling with Python & OpenCV
- Video & Webcam I/O
- Optical Flow
- Tracking
- Deep Learning
Intermediate to experienced Python developers seeking to use Python for image and video data with a focus on the OpenCV library
Course Description
OpenCV, once released by INTEL to benchmark their processors, comes with a huge array of functionality, even deep learning-based, and allows for efficient image processing and computer vision. Tracking, Object Detection, Facial Recognition, and much more – all in one library. Understanding how to work with image and video data is becoming vital in modern applications. The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos!
Instructor-Led
Learn directly from our expert instructors via live webinar. Also includes the full video-on-demand course.
On-Demand
Get access to this self-paced Computer Vision with Python and OpenCV training course plus the entire Pierian on-demand Data Science Training Library with a Data Science Hero membership.
Starting at
$99
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