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Computer Vision - Object Detection on Videos - Deep Learning

Computer Vision - Object Detection on Videos - Deep Learning

Machine Learning on Videos has the potential to make a profound impact in a data-driven business and is emerging as the new buzzword in the industry.

What you'll learn

  • Understand Machine Learning On Videos and apply it to real-world problems
  • Learn to implement Object Detection Models on Videos in Python
  • Build your own Deep Learning model using Transfer Learning for Image Classification
  • Executable Code of Faster RCNN, YOLO, HOG and Haar Cascade for Object Detection
  • Learn to implement SORT Framework for Object Tracking
  • Executable Code of SORT for People Footfall Tracking and Automatic Parking Management
  • Exploratory Data Analysis in R

Requirements

  • Basic Programming skills in Python

Description

** Best course for understanding how to work on Videos with the help of Object Detection models and using Image Classification to identify desired Objects in Videos. By learning Object Tracking, we will learn to develop wonderful applications like People Footfall Tracking and Automatic Parking Management **

Machine Learning on Videos has the potential to make a profound impact in a data-driven business and is emerging as the new buzzword in the industry. This course provides an end-to-end coverage of Machine Learning on videos through Video analytics, Object Detection and Image Classification. It is a complete hands-on tutorial that teaches how to implement Video Analytics using the 3-step process of Capture, Process and Save Video, understand various Object Detection Models and implement them for a real-time case study of Social Distancing and last but not the least, take a deep dive into steps involved in using Deep Learning Models, Transfer Learning and learn how to create a model on face mask detection using Image Classification and leverage it to implement a solution of face mask detection.

Here are just few of the topics we will be learning:

  • Machine Learning
  • Deep Learning
  • Video Analytics
  • Object Detection
  • Object Detection Models
  • Object Detection Algorithm
  • Image Classification using CNN
  • Image Recognition in Python
  • Object Tracking
  • Simple Online and Realtime Tracking (SORT) Framework
  • Deep Learning
  • Deep Learning Image Classifier
  • Convolution Neural Network (CNN)
  • Transfer Learning
  • Model Training on Google CoLab
  • Haar Cascade Classifier
  • HOG Model
  • YOLO Algorithm
  • YOLO V3 Tiny Model
  • Faster R-CNN Model
  • Video codec
  • Haar Cascade Social Distancing Solution with python code
  • Hog Solution Social Distancing Solution with python code
  • YOLO Social Distancing Solution with python code
  • Faster R-CNN Social Distancing Solution with python code
  • Face Mask Detection Solution with python code
  • People Footfall Tracking with python code
  • Automatic Parking Management with python code

** Dec 2021 - The course has been updated with Tool Setup for both Ubuntu and Windows Platform.**

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