These are the exercise files used for NICF - Computer Vision for Beginners course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-computer-vision-jetson-nano.html
Topic 1 Overview of Computer Vision with Deep Learning
- Introduction to Computer Vision
- Computer Vision Business Applications
- Classical vs Deep Learning Computer Vision
Topic 2 Basic Computer Vision Techniques
- Setup Portable Mini Computer Board
- Setup Camera
- Setup OpenCV
- Image Processing with OpenCV
Topic 3 Image Classification
- Introduction to Deep Learning and Neural Network
- Overview of Convolutional Neural Network (CNN)
- Pre-Trained Vision Models
- Image Classification with Pre-Trained CNN
Topic 4 Object Detection
- Overview of Single Shot Detector (SSD) Object Detection Technique
- Object Detection and Video Tracking with SSD
- Overview of YOLO Object Detection Technique
- Object Detection and Video Tracking using YOLO
- Basic Video Analytics
Topic 5 Computer Vision Systems
- Edge Based Vision System
- Cloud Based Vision System
Final Assessment
- Written Assessment(Q&A)
- Practicum Performance