Computer Vision in Python for Beginners (Theory & Projects)

Author: Delcan | 27 August 2021 |

: 0

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Computer Vision in Python for Beginners (Theory & Projects) | 10.62 GB

Computer Vision in Python for Beginners (Theory & Projects) is a computer vision training course in Python using Python, OpenCV and TensorFlow. Computer vision is a branch of computer science that works to match the complex function of the human visual system. In the process of CV work, real-world images and videos are taken, then processed and analyzed to allow machines to extract useful information from the world.

What you will learn in Computer Vision in Python for Beginners (Theory & Projects):
Introduction to Computer Vision (CV)
The reason for the high reputation of CV in the current era
Key principles from beginner level with example in Python
Practical explanation and coding in Python
The concept of color images and black and white images
In-depth details of Computer Vision along with examples of each concept from the ground up
Tensorflow (Deep Learning Framework Developed with Google)
Theoretical understanding and application of Panoramic images
Geometry of transformations
Image filter in Python
Recognize edges, detect objects and corners of objects
Object tracking and object detection
3D images
Develop a complete project to build a smart and efficient DVR using Python

https://www.udemy.com/course/mastering-computer-vision-theory-projects-in-python/

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