Computer Vision OpenCV Python | YOLO| Deep Learning in Colab

What you'll learn:

Python For Vision and Detection : OpenCv Python Course

• Use OpenCV to work with image files
• Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
• Create Face Detection Software
• Use Python and Deep Learning to build image classifiers
• Use Python and OpenCV to draw shapes on images and videos
• Create Color Histograms with OpenCV
• Study from MIT notes and get Interview questions
• Crack image processing limits by developing Applications.

Requirements:

• Must have clear understanding of Python Basics
• WebCam if you want to learn the video streaming content
• Windows or MacOS or Ubuntu
• Have an openminded attitude towards learning

Description:

Welcome to Computer Vision OpenCV Python Course

In this course you will learn computer vision from scratch to expert level.

Course includes-

• The introduction and importance of Computer Vision (CV).

• Difference between Image Processing and Computer Vision

• Introduction and Installation to OpenCV Python

• Working of OpenCV

• How to work in google colab

• Image Operations like Load, Display,Save,Resize and Color Changing using OpenCV Python

• Draw rectangle using opencv

• Drawing Functions in OpenCV Python- Line, Rectangle, Circle , Ellipse , Polygon and PutText

• Face Detection in an image using OpenCV

• Display only face of the image

• Detect and display the largest face in image

• Count no. of faces using OpenCV

• How to take a picture from live web cam using OpenCV - Video Processing

• Capturing frame by frame images from camera using OpenCV - Video Processing.

• Play Video from a file in OpenCV - Video Processing

• Saving a Video using OpenCV - Video Processing

• Gaussian Blur in OpenCV.

• Find Contours in an image using OpenCV

• Find Threshold in images using OpenCV

• Display edges of an image using canny edge detection in OpenCV

• Project - FACE EYE NOSE detection

• COVID 19 PROJECT-Check whether Social Distancing is followed or not in CCTV

• Project-Finding out traffic density by detecting cars in the images.

• Project - Driver drowsiness detection using OpenCV

• Project - Object detection using YOLO v3

• Project - Social Distancing Detection using Python |Machine Learning | Deep Learning | OpenCV | YOLO

• Project - Object detection using YOLO v4 in google colab

• Project - Face Recognition

Who this course is for:

• Understanding of the Python Programming Language

Course Details:

• 4.5 hours on-demand video
• 16 downloadable resources
• Access on mobile and TV
• Full lifetime access
• Certificate of completion

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