Python For Computer Vision With OpenCV And Deep Learning
- Will need to have clear understanding of Python Fundamentals
- Home windows 10 or MacOS or Ubuntu
- Will need to have Set up Permissions on Laptop
- WebCam if you wish to be taught the video streaming content material
Welcome to the final word on-line course on Python for Laptop Imaginative and prescient!
This course is your finest useful resource for studying the right way to use the Python programming language for Laptop Imaginative and prescient.
We’ll be exploring the right way to use Python and the OpenCV (Open Laptop Imaginative and prescient) library to research photos and video information.
The most well-liked platforms on the planet are producing by no means earlier than seen quantities of picture and video information. Each 60 seconds customers add greater than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram customers like over 2 million pictures! Now greater than ever its obligatory for builders to realize the required abilities to work with picture and video information utilizing pc imaginative and prescient.
Laptop imaginative and prescient permits us to research and leverage picture and video information, with purposes in a wide range of industries, together with self-driving automobiles, social community apps, medical diagnostics, and plenty of extra.
Because the quickest rising language in recognition, Python is nicely suited to leverage the facility of present pc imaginative and prescient libraries to be taught from all this picture and video information.
On this course we’ll educate you all the pieces you want to know to change into an knowledgeable in pc imaginative and prescient! This $20 billion greenback business will likely be one of the vital job markets within the years to return.
We’ll begin the course by studying about numerical processing with the NumPy library and the right way to open and manipulate photos with NumPy. Then will transfer on to utilizing the OpenCV library to open and work with picture fundamentals. Then we’ll begin to perceive the right way to course of photos and apply a wide range of results, together with shade mappings, mixing, thresholds, gradients, and extra.
Then we’ll transfer on to understanding video fundamentals with OpenCV, together with working with streaming video from a webcam. Afterwards we’ll find out about direct video subjects, corresponding to optical circulation and object detection. Together with face detection and object monitoring.
Then we’ll transfer on to a complete part of the course dedicated to the most recent deep studying subjects, together with picture recognition and customized picture classifications. We’ll even cowl the most recent deep studying networks, together with the YOLO (you solely look as soon as) deep studying community.
This course covers all this and extra, together with the next subjects:
- Photos with NumPy
- Picture and Video Fundamentals with NumPy
- Colour Mappings
- Mixing and Pasting Photos
- Picture Thresholding
- Blurring and Smoothing
- Morphological Operators
- Streaming video with OpenCV
- Object Detection
- Template Matching
- Nook, Edge, and Grid Detection
- Contour Detection
- Characteristic Matching
- WaterShed Algorithm
- Face Detection
- Object Monitoring
- Optical Movement
- Deep Studying with Keras
- Keras and Convolutional Networks
- Custom-made Deep Studying Networks
- State of the Artwork YOLO Networks
- and way more!
Be at liberty to message me on Udemy in case you have any questions concerning the course!
Thanks for trying out the course web page, and I hope to see you inside!
Who this course is for:
- Python Builders fascinated about Laptop Imaginative and prescient and Deep Studying. This course isn’t for full python freshmen.
Created by Jose Portilla
Final up to date 12/2018
Measurement: 5.67 GB