Computer Vision – Object Detection on Videos – Deep Learning

Quick Starter on Object Detection and Image Classification on Videos using Deep Learning, OpenCV, YOLO and CNN Models

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

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.**

Who this course is for
Beginners to Data Science
Machine Learning Professionals
Developers willing to transition into Machine Learning
Anyone looking to implement Machine Learning on Videos
Anyone looking to become more employable as a Data Scientist

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