Overview
The article discusses the release of Mendel Linux 4.0 for the Coral Dev Board and SoM, highlighting significant updates that enhance performance and stability. It also introduces new features such as MediaPipe integration and a Teachable Sorter project tutorial, aimed at improving machine learning applications on the Coral platform.
What You'll Learn
1
How to upgrade your Coral Dev Board or SoM to Mendel Linux 4.0
2
Why using the GPU for YUV to RGB conversion improves performance
3
How to implement a Teachable Sorter using Coral and Teachable Machine 2.0
Key Questions Answered
What are the key features of Mendel Linux 4.0?
Mendel Linux 4.0 is based on Debian 10 Buster and includes upgraded GStreamer pipelines, support for Python 3.7, OpenCV, and OpenCL. The Linux kernel has been updated to version 4.14, and U-Boot to version 2017.03.3, enhancing performance and stability.
How does the Coral Dev Board utilize GPU for video processing?
The Coral Dev Board's GPU can convert YUV to RGB pixel data at up to 130 frames per second on 1080p resolution, significantly faster than previous versions. This allows for efficient processing of video data from cameras and hardware decoders.
What is MediaPipe and how is it used with Coral?
MediaPipe is an open-source framework for building machine learning perception pipelines. It allows developers to run on-device ML models and process video streams, enabling real-time applications like hand tracking on the Coral Dev Board.
What is the Teachable Sorter project and how does it work?
The Teachable Sorter is a physical sorting machine that uses the Coral USB Accelerator for low latency inference. It can be trained to recognize and sort objects using the Teachable Machine 2.0, making it an engaging project for learning about ML applications.
Key Statistics & Figures
GPU video processing speed
130 frames per second
This speed is achieved when converting YUV to RGB pixel data at 1080p resolution.
Technologies & Tools
Operating System
Mendel Linux
The foundation for the Coral Dev Board and SoM, providing enhanced performance and stability.
Framework
Mediapipe
Used for building machine learning perception pipelines that process streaming data.
Machine Learning Tool
Teachable Machine 2.0
Facilitates the training of models for the Teachable Sorter project.
Key Actionable Insights
1Upgrade to Mendel Linux 4.0 to take advantage of improved performance and stability features.This upgrade is crucial for developers looking to enhance their applications on the Coral platform, as it includes support for newer libraries and frameworks.
2Utilize MediaPipe to create real-time machine learning applications on the Coral Dev Board.By leveraging MediaPipe, developers can quickly prototype and deploy ML models that process streaming data, which is essential for modern AI applications.
3Explore the Teachable Sorter tutorial to learn practical applications of machine learning.This hands-on project not only demonstrates ML concepts but also provides a fun way to engage with technology, making it suitable for both beginners and experienced developers.
Related Concepts
Machine Learning
AI
Edge Tpu
Tensorflow