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Computer Vision-Theory & Projects in Python for Beginners

Computer Vision-Theory & Projects in Python for Beginners

Computer Vision-Theory & Projects in Python for Beginners

Computer Vision-Theory & Projects in Python for Beginners, Computer Vision-Become an ace of Computer Vision, Detect Shapes and Create Apps using Python, OpenCV, TensorFlow, etc.

Hot & New

Created by AI Sciences, AI Sciences Team

English

English


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What you'll 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.

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