Linkedin - Hands-On AI Computer Vision Projects with Ultralytics and OpenCV

[dkmdkm]

Free Download Linkedin - Hands-On AI Computer Vision Projects with Ultralytics and OpenCV
Released 05/2025
With Rizwan Munawar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 34m 10s | Size: 1.62 GB

Learn various computer vision techniques and how to apply them to solve real-world challenges in the field.
Course details
Get an in-depth overview of computer vision algorithms in the YOLO family and demonstrate how to use these algorithms to address real-world challenges. This course includes technical walkthroughs for essential techniques like image classification, object detection, object tracking, instance segmentation, pose estimation, and oriented bounding boxes (OBB) using the Ultralytics Python package. Instructor Muhammad Munawar guides you through annotating data, training models, and exporting them, highlighting how the export process speeds up inference time. Additionally, see how Ultralytics solutions are tailored for solving practical computer vision challenges, with in-depth technical implementation examples provided throughout the course
Homepage

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

No Password - Links are Interchangeable

 

[0dayddl]

Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 34m | 1.63 GB
Instructor: Rizwan Munawar​

Get an in-depth overview of computer vision algorithms in the YOLO family and demonstrate how to use these algorithms to address real-world challenges. This course includes technical walkthroughs for essential techniques like image classification, object detection, object tracking, instance segmentation, pose estimation, and oriented bounding boxes (OBB) using the Ultralytics Python package.

Instructor Muhammad Munawar guides you through annotating data, training models, and exporting them, highlighting how the export process speeds up inference time. Additionally, see how Ultralytics solutions are tailored for solving practical computer vision challenges, with in-depth technical implementation examples provided throughout the course.

Learning objectives

• Gain foundational and intermediate skills in computer vision, enabling you to apply for computer vision roles across various industries.
• Tackle complex computer vision challenges from scratch and determine which techniques are best suited to specific problems.
• Understand the fundamental workflow of a computer vision project.
• Learn how to perform basic operations using OpenCV and how to use the well-known VisionAI package (Ultralytics).

Bitte Anmelden oder Registrieren um Links zu sehen.

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

NitroFlare

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

DDownload

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!