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| File Name: | Deep learning using Tensorflow Lite on Raspberry Pi |
| Content Source: | https://www.udemy.com/course/deep-learning-using-tensorflow-lite-on-raspberry-pi/ |
| Genre / Category: | Other Tutorials |
| File Size : | 3.3GB |
| Publisher: | udemy |
| Updated and Published: | August 28 2022 |
Course Updated ROS Kinetic to ROS 2 Foxy :
Rating is for OLD version of this course , New update to projects and way of explanation is what you are going to love 🙂
Course Workflow:
This Course is for mobile robot which is a 2 wheel differential drive with a caster . We will First build the robot using 3D printed parts. All electronics is going to be explained for proper connections .
Raspberry Pi 4 is going to be main brain for this robot . ROS2 foxy and humble both are going to be utilized using this course . WiFi Communication between laptop and Raspberry Pi will be done .
We will look into image data transmission and bandwidth optimization for our computer vision based projects .
Sections :
- ROS2 Workspace Raspberry pi Setup
- Robot Building and Driving with Joystick
- QR Maze Solving using OpenCV
- Line Following Real and Simulation Robot
- AI Surveillance Robot using Tensorflow Lite
Outcomes After this Course : You can create
- Custom Workspace
- Custom Python Packages
- Launch files
- Custom Mobile Robots
- ROS 2 Robot and Simulation integration
- RVIZ and Gazebo Simulation Fundamentals
- Computer Vision with ROS 2 using OPENCV
- Deep Neural Networks on ROS 2 based Nodes
Software Requirements
- Ubuntu 22.04
- ROS 2 Foxy
- Motivated mind for a huge programming Project
DOWNLOAD LINK: Deep learning using Tensorflow Lite on Raspberry Pi
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