Lab Course Mobile Computer Vision

What it is about

You learn the basics of modern computer vision systems with neural networks and practice practical deployment up to embedding on embedded hardware. By the end you will be able to design, train, evaluate and deploy your own deep learning CV system for inference on current FPGAs.

What you will be able to do

• Understanding the concepts behind neural networks
• Knowledge of methods of neural image processing
• Assessment of the challenges in real-time inference on embedded devices
• Practice: Training, evaluation and deployment of CNNs on FPGAs

What the module consists of

• Self-study (inverted classroom)Development of learning materials from public sources as preparation
• Weekly online discussion sessionsClarification of open questions and synchronization of students
• Group project (max. 5 people)Development, training, evaluation and deployment of a CV system; use of laboratory equipment in Ottobrunn

Teaching method

• Inverted ClassroomIndependent learning of the basics to use face-to-face/online sessions for discussion and deepening
• Team projectPractical application of what is learned by implementing and deploying on real hardware