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.

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Created by AI Sciences, AI Sciences Team

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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.