Computer Vision in Python for Beginners (Theory & Projects)

Computer Vision-Become an ace of Computer Vision, Computer Vision for Apps using Python, OpenCV, TensorFlow, etc.
4.26 (307 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Computer Vision in Python for Beginners (Theory & Projects)
2 659
students
26.5 hours
content
May 2025
last update
$64.99
regular price

What you will learn

• The introduction and importance of Computer Vision (CV).

• Why is CV such a popular field nowadays?

• The fundamental concepts from the absolute beginning with comprehensive unfolding with examples in Python.

• Practical explanation and live coding with Python.

• The concept of colored and black and white images with practice.

• Deep details of Computer Vision with examples of every concept from scratch.

• TensorFlow (Deep learning framework by Google).

• The use and applications of state-of-the-art Computer Vision (with implementations in state-of-the-art framework Numpy and TensorFlow).

• Theory and implementation of Panoramic images.

• Geometric transformations.

• Image Filtering with implementation in Python.

• Edge Detection, Shape Detection, and Corner Detection.

• Object Tracking and Object detection.

• 3D images.

• Building your own applications for change detection in the live feed of cameras by using Computer Vision Techniques using Python.

• Developing a complete project to make a very intelligent and efficient DVR using Python.

Course Gallery

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Computer Vision in Python for Beginners (Theory & Projects) – Screenshot 4
Screenshot 4Computer Vision in Python for Beginners (Theory & Projects)

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3763238
udemy ID
09/01/2021
course created date
27/01/2021
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