COMPUTER VISION WORKSHOP
This session was led by
Karim Ben Boubaker who
guided participants
through the
fundamentals of
robotics.
The computer vision workshop was an immersive session that
began with a detailed introduction to the field, explaining its
importance in artificial intelligence and its applications in areas
such as autonomous vehicles, facial recognition, and medical
imaging. The mentor provided an overview of key concepts like
image representation in pixels, color spaces (RGB, grayscale), andpreprocessing techniques such as noise reduction and contrast
enhancement.
Participants then delved into edge detection algorithms,
including the Sobel and Canny methods, which were
implemented in Python. Later, the group explored object
detection and tracking using OpenCV libraries, where they
worked on identifying and highlighting objects in live video
streams.
Coffee Break
A 15-minute coffee break at 3:30 PM allowed
participants to unwind, connect with others, and
share insights about the session, creating a relaxed
and collaborative atmosphere for learning.
The session resumed with a final exercise on feature extraction using
Histogram of Oriented Gradients (HOG) and a demonstration of how
these features are used in machine learning models for image
classification
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