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Computer Vision with Python and OpenCV

Course Reviews

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Develop real-time face detection and tracking skills using OpenCV and Python for practical computer vision applications
  • Implement image processing techniques with OpenCV, NumPy, and SciPy to analyze and manipulate visual data effectively
  • Integrate OpenCV with hardware sensors like Kinect and OpenNI for advanced computer vision projects and motion tracking
  • Apply computer vision algorithms to develop interactive applications and enhance real-world image analysis skills

How to Get The Certificate

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Lessons | 4


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Excellent
42 Reviews
Good
35 Reviews
medium
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Acceptable
1 Reviews
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2 Reviews
4.4
80 Reviews
Alok Yadav 

ok ok
2025-10-24

Aries Thadheu.S 

Good
2025-10-23

Sriram Pandian 

good course
2025-10-12

Mahi Sewinet 

Great Course
2025-09-19

Soulaf Ali 

Good
2025-09-10

Oumar Goïta 

super
2025-07-30

motez ben aicha 

The course was very informative and well-structured. The hands-on projects helped solidify my understanding of key concepts. The instructor was knowledgeable and supportive. I would highly recommend this course
2025-07-15

Kovarthini 

This session was very clear and understandable.
2025-06-18

hamouda souha 

good
2025-06-10

Misgana Tumebo 

best
2025-05-15

Kidus Mathewos 

It's very goód
2025-05-15

Ammar 

Awesome
2025-05-12

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The book “OpenCV: Computer Vision with Python” provides a fast-paced introduction to OpenCV's Python bindings using a real-time face-tracking project as an example. Integration with NumPy and SciPy, and optional integration with OpenNI and SensorKinect, is also covered .