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    Python for Computer Vision with OpenCV and Deep Learning

    Posted By: lucky_aut
    Python for Computer Vision with OpenCV and Deep Learning

    Python for Computer Vision with OpenCV and Deep Learning
    Last updated 3/2021
    Duration: 14h5m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.45 GB
    Genre: eLearning | Language: English

    Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!

    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.

    Requirements
    Must have clear understanding of Python Basics
    Windows 10 or MacOS or Ubuntu
    Must have Install Permissions on Computer
    WebCam if you want to learn the video streaming content
    Description
    Welcome to the ultimate online course on Python for Computer Vision!
    This course is your best resource for learning how to use the Python programming language for Computer Vision.
    We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
    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! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using 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.
    As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
    In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
    We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
    Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking.
    Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network.
    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!
    Feel free to message me on Udemy if you have any questions about the course!
    Thanks for checking out the course page, and I hope to see you inside!
    Jose
    Who this course is for:
    Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.


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