Computer Vision for Embedded Systems

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Free Online Course: Computer Vision for Embedded Systems provided by edX is a comprehensive online course, which lasts for 5 weeks long, 7-8 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. Computer Vision for Embedded Systems is taught by Yung-Hsiang Lu.

Purdue University via edX

5 weeks long, 7-8 hours a week

Upcoming

This course provides an overview of running computer vision (OpenCV and PyTorch) on embedded systems (such as Raspberry Pi and Jetson). The course emphasizes the resource constraints imposed by embedded systems and examines methods (such as quantization and pruning) to reduce resource requirements. This course will have programming assignments and projects proposed by the students.
Required texts or technologies:
This course does not have a required text. The course will read recently published papers. Students will use Google Colab for programming assignments.

Syllabus

Lecture topics:
- Overview, image data formats, OpenCV
- Edge detection and segmentation
- Applications of computer vision in embedded systems
- Datasets, bias, privacy, competitions
- Machine learning and PyTorch
- Performance and resources (time, memory, accuracy)
- Object detection and motion tracking
- Data annotation and generation
- Quantization
- Pruning and network architecture search
- Tree modular networks
- Vision in context, MobileNet
- Real-time scheduling

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Language

English
Certificate
$750.00 Certificate Available
Date of Start
02nd November, 2022
Level
Advanced
Price
Free Online Course (Audit)
Provider
edX
Taught By

Yung-Hsiang Lu
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