Image Processing and Computer Vision in Python

Interactive Online Course

• Tentative Start Date: Winter 2021 Semester (whenever the minimum enrollment limit of 8 is met or TBA)
• Day/Time: Tuesdays, 6-8:45 pm EDT
• Length: 10 weeks (20 hrs)
• Instructor: Dr. Mohammad Baradaran

Important Notes: 

• A “Certificate of Completion” will be awarded to you, if you pass the final exam.
• The full price of the course is $130. If you register before Nov. 5th, you can register with $30 off (i.e. discounted price is $90).
• The lectures are in either in Farsi or English, but course material is in English.
• The course is associated with an R&D projects with specific benefits for students.

Course Description

Part 1: Image Processing with Python (5 sessions)

• Basics of Digital image processing (Concepts of digital images, color spaces, filter, image processing tasks, different image formats, edges, image gradient, …)
• Different needed libraries for image processing (numpy, matplotlib, PIL, open CV)
• Reading, writing and showing images or videos in python
• Different image processing operations in python (thresholding, flipping, linear transformations, …)
• Applying different filters to images (denoising, blurring, edge detection, morphological transformations)

Part 2: Machine Vision with Python (5 Sessions)

• Concepts of different image processing and computer vision applications (image classification, object localization, detection, segmentation
• CNN application, CNN layer and training algorithm in image classification
• Benefiting CNN zoo (pre-trained CNNs) for image classification and fine tuning for a target task
• Introduction to pytorch and its modules
• Starting implementations by designing a fully connected network in pytorch
• Implementing a deep CNN in pytorch, from scratch, for image classification
• Implementing Deep AutoEncoders for image reconstruction