Learn Object Detection Tracking and Counting with DL, ML

Learn Object Detection Tracking and Counting with DL, ML, available at $39.99, has an average rating of 4.05, with 19 lectures, 1 quizzes, based on 43 reviews, and has 180 subscribers.

You will learn about Brief introduction of Object Detection, Tracking and Counting Installation of all prerequisites Workflow & System Architecture Write and Run the Code for Cumulative Counting of Objects in Video Write and Run the Code for Real-Time Counting of Objects Write and Run Code for Object Tracking Detect the targeted or all objects Count the targeted or all objects Predict the Color of targeted or all objects Predict the speed of targeted or all objects Export results in csv file Object detection with Viola Jones Object Detection with Alex-Net Object Detection with R-CNN Object Detection With Yolo Object Detection with SSD This course is ideal for individuals who are Python Developer or RFID Engineers or Robotics Engineer or Startup Founders & Tech Savy or Self Driving Cars or Computer Vision or Security Surveillance Engineer It is particularly useful for Python Developer or RFID Engineers or Robotics Engineer or Startup Founders & Tech Savy or Self Driving Cars or Computer Vision or Security Surveillance Engineer.

Enroll now: Learn Object Detection Tracking and Counting with DL, ML

Summary

Title: Learn Object Detection Tracking and Counting with DL, ML

Price: $39.99

Average Rating: 4.05

Number of Lectures: 19

Number of Quizzes: 1

Number of Published Lectures: 19

Number of Published Quizzes: 1

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Brief introduction of Object Detection, Tracking and Counting
Installation of all prerequisites
Workflow & System Architecture
Write and Run the Code for Cumulative Counting of Objects in Video
Write and Run the Code for Real-Time Counting of Objects
Write and Run Code for Object Tracking
Detect the targeted or all objects
Count the targeted or all objects
Predict the Color of targeted or all objects
Predict the speed of targeted or all objects
Export results in csv file
Object detection with Viola Jones
Object Detection with Alex-Net
Object Detection with R-CNN
Object Detection With Yolo
Object Detection with SSD

Who Should Attend

Python Developer
RFID Engineers
Robotics Engineer
Startup Founders & Tech Savy
Self Driving Cars
Computer Vision
Security Surveillance Engineer

Target Audiences

Python Developer
RFID Engineers
Robotics Engineer
Startup Founders & Tech Savy
Self Driving Cars
Computer Vision
Security Surveillance Engineer

Introduction of Object Detection, Counting & Tracking
Installation of all prerequisites to write the code for object detection, counting & tracking on Mac Machine
Workflow and System Architecture
Write and Run the Code for
- Write and Run the code for object detection, tracking and counting with dlib
- Write and Run the code for object detection using deep learning with OpenCV
- Write and Run the Code for Cumulative Counting of Objects in Video
- Write and Run the Code for Real-Time Counting of Objects
- Write and Run Code for Object Tracking
- Detect the targeted or all objects
- Count the targeted or all objects
- Predict the colour of targeted or all objects
- Predict the speed of targeted or all objects
- Export results in csv file

Course Curriculum

Chapter 1: Introduction and Course Overview

Lecture 1: Introduction and Course Overview

Lecture 2: Definitions , Applications & Ways of Achieving

Chapter 2: Installations on Mac , System Workflow & Architecture

Lecture 1: Installations – Step-01

Lecture 2: Installations – Step-02

Lecture 3: Workflow & System Architecture

Chapter 3: Installation on Windows Machine

Lecture 1: Installation Step-01 – Anaconda Tensorflow Dependencies

Lecture 2: Installation Step-02 Dependencies

Lecture 3: Installation Step -03 Dependences OpenCV

Lecture 4: Installation Step -04 Verifying Installation

Chapter 4: Object Detection with OpenCV and Deep Learning

Lecture 1: Object Detection with OpenCV and Deep Learning

Chapter 5: Exercises – Object Detection Tracking and Counting

Lecture 1: Object Detection Tracking Counting Part-01

Lecture 2: Object Counting Part-02 – Person Detection Tracking and Counting – IN OUT

Chapter 6: Exercises – tensorflow_object_counting_api

Lecture 1: Exercise – Visualisation Utility

Lecture 2: Exercise – Cumulative Object Counting X-Axis and Y-Axis

Lecture 3: Exercise – Cumulative Object Counting Independently – Webcam – Single Image

Chapter 7: Exercises – Counting Objects – Coding with Results

Lecture 1: Exercise – Label Mapping and Model Loading

Lecture 2: Exercise – Vehicle Counting with Results

Lecture 3: Exercise – Pedestrian Counting with Results

Chapter 8: Exercises – Targeted Objects – Coding with Results

Lecture 1: Targeted Objects Detection and Counting

Chapter 9: Quiz

Instructors

Nasr Ullah
Technical Consultant

Rating Distribution

1 stars: 10 votes
2 stars: 3 votes
3 stars: 8 votes
4 stars: 11 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu