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
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Introduction of Object Detection, Counting & Tracking
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Installation of all prerequisites to write the code for object detection, counting & tracking on Mac Machine
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Workflow and System Architecture
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Write and Run the Code for
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Write and Run the code for object detection, tracking and counting with dlib
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Write and Run the code for object detection using deep learning with OpenCV
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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
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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
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