You can build autonomous drones with computer vision, deep learning, and OpenCV
Learning autonomous drones is easier than you think.
Autonomous Drones with Computer Vision and OpenCV
is a brand new course created in collaboration between PyImageSearch and Murtaza Hassan of Computer Vision Zone.
Inside this course you will learn how to write code to autonomously control a Tello drone using computer vision, deep learning, and OpenCV techniques.
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Take a sneak peek at what’s inside…
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Autonomous Drones with Computer Vision and OpenCV
will teach you how to successfully apply autonomous drone techniques to your work, projects, and research. You will learn via practical, hands-on projects (with lots of code) so you can not only develop your own autonomous drone projects, but feel confident while doing so.
Inside the course you will learn:
What exactly
is
a drone?
The components of a drone
How does a drone fly?
Understanding the Tello drone
Your first Tello “test run”
Configuring Python to interface with the Tello drone
Face detection on a drone
Face following with a drone
Implementing a 3-axis PID controller
Human/body detection and tracking
Gesture detection and recognition on drones
Creating a “selfie drone” project
Troubleshooting tips and techniques to debug your drone project
Salepage:
https://pyimagesearch.com/autonomous-drones-with-computer-vision-and-opencv/
Delivery Method
Upon completing your purchase, we will send you
download link, through Mega.nz or Telegram.
Given that this is a digital copy, we recommend downloading and saving it to your hard drive. Should the link become broken for any reason, please reach out to us, and we will promptly resend a new download link.
If you are unable to locate the download link, there’s no need to worry. We will update and notify you as soon as possible, typically within 24-72 hours.
Thank You For Shopping With Us!
