Join our course, "Object Tracking, Detection, Car Speed, Pose Estim in Python," designed to take you through the fascinating world of computer vision and deep learning. You'll learn how to master essential techniques like Video Object Tracking, Vehicle Speed Estimation, Object Detection, Object Segmentation, and Pose Estimation using Python. This course is perfect for beginners, with no prior knowledge required, and offers hands-on training that makes complex topics easy to understand and apply. All you need to get started is a Google Gmail account to use Google Colab.
In this course, "Object Tracking, Detection, Car Speed, Pose Estim in Python", you will explore several key areas of computer vision. You'll start with object tracking using popular algorithms like BotSort and ByteTrack, which help identify and monitor objects in videos. Next, you'll learn to estimate vehicle speed using Ultralytics YOLOv8, an essential traffic monitoring and surveillance skill. You'll also delve into pose estimation to locate specific points on objects and object segmentation to detect and outline objects at a pixel level. Additionally, you'll master object detection to identify and classify objects in images or videos and object classification to categorize entire images into predefined classes.
By the end of this course, "Object Tracking, Detection, Car Speed, Pose Estim in Python," you'll have a wealth of practical skills highly valued in computer vision. Whether you're looking to start a new career or enhance your current skills, this course will provide you with the knowledge and confidence to succeed.
Object Tracking, Detection, Car Speed, Pose Estim in Python Table of Contents:
- Introduction: 03:09
- What is YOLO?: 06:26
- Introduction to YOLOv5: 06:28
- Introduction to YOLOv8: 13:36
- Setup Google Colab for Writing Python Coding: 07:24
- Object Detection with Python: 01:32
- Object Segmentation with Python: 01:22
- Pose Estimation and Key Points Detection with Python: 01:33
- Object Classification with Python: 00:56
- Introduction to Object Tracking: 06:00
- Test and Output Videos for Object Tracking: 00:02
- Object Tracking Python Code: 00:02
- Vehicles Speed Estimation and its Importance: 04:37
- Cars Speed Estimation with Python: 15:33
- Cars Test and Output Videos: 00:02
- Cars Speed Estimation Python Code: 00:02
- Custom Football Player Dataset for Object Detection: 07:30
- Custom Football Dataset and Test Videos: 00:02
- YOLOv8 Ultralytics and its Hyperparameters Settings: 07:12
- Training YOLOv8 on Football Custom Dataset: 08:38
- Testing YOLOv8 on Videos and Images: 11:46
- Deployment: Export Trained Model to Required Format: 04:05
- Complete Football Player Detection Python Code: 00:02
- What is Instance Segmentation?: 04:28
- Custom Vehicles Instance Segmentation Dataset: 05:15
- Vehicles Dataset for Instance Segmentation: 00:04
- Hyperparameters for Training Instance Segmentation Model: 06:49
- Training YOLOv8 for Image and Video Instance Segmentation: 06:02
- Testing Segmentation YOLOv8 on Images: 04:00
- Testing Segmentation YOLOv8 Model on Videos: 05:00
- Deploy Trained Video Segmentation Model: 03:03
- Complete Vehicles Instance Segmentation Python Code: 00:02
Who is this course for?
- Students looking to deepen their understanding of computer vision and deep learning.
- Academics who want to explore real-life applications in Video Object Tracking, Vehicle Speed Estimation, Object
- Detection, Object Segmentation, and Pose Estimation using Python.
- Professionals interested in applying computer vision techniques to practical problems.
- Beginners with a shared interest in learning about cutting-edge technologies in computer vision and deep learning.
