Computer Vision
- Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
==> This course covers all this and more, including the following topics:
- NumPy
- Images with NumPy
- Image and Video Basics with NumPy
- Color Mappings
- Blending and Pasting Images
- Image Thresholding
- Blurring and Smoothing
- Morphological Operators
- Gradients
- Histograms
- Streaming video with OpenCV
- Object Detection
- Template Matching
- Corner, Edge, and Grid Detection
- Contour Detection
- Feature Matching
- WaterShed Algorithm
- Face Detection
- Object Tracking
- Optical Flow
- Deep Learning with Keras
- Keras and Convolutional Networks
- Customized Deep Learning Networks
- State of the Art YOLO Networks and much more!
- 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.