Beginner
54 Lessons
15h
Certificate of Completion
AI-POWERED
This course includes
This course includes
Course Overview
Computer vision is essential for developers who wish to learn practical skills, e.g., in industrial manufacturing, automated inspection of products is crucial for quality assurance. In this course, you’ll apply computer vision and machine learning to analyze images for automated inspection. You’ll start by learning image I/O operations, thresholding, smoothing, and masking. You’ll learn feature detection using template matching and morphology. You’ll use the Sobel and Canny Edge Detectors, Harris Corner De...Show More
TAKEAWAY SKILLS
Python Programming
Pytorch Basics
Machine Learning
Neural Networks
Pytorch
Opencv
Automatedinspection
Computervision
What You'll Learn
Hands-on experience transforming image objects with OpenCV
An understanding of feature detection and blob analysis
The ability to use laser lines alongside 3D vision
Hands-on experience in labeling image datasets using CVAT
Working knowledge of convolutional neural networks for classification, object detection, and semantic segmentation with PyTorch
Course Content
Introduction
Getting Started with Images
Image I/O and Annotations
Assessment
Color Spaces and Thresholding
Convert Color Spaces, Threshold
Assessment
Smoothing and Masking
Detection of Features
Image Registration
3 Lessons
3D Vision
4 Lessons
Getting Started with Neural Networks
5 Lessons
Convolutional Neural Networks
8 Lessons
Project: Create and Train a CNN for Classification
Project
Object Detection and Semantic Segmentation
6 Lessons
Dataset Annotation
4 Lessons
Final Remarks
2 Lessons
How You'll Learn
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