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Computer Vision:Learn OpenCV & Mediapipe with 5 projects!!

(*5*)

Description

Computer Imaginative and prescient is a innovative technological development which provides a way of assorted potentialities. OpenCV-Python is a good device for quick prototyping of laptop imaginative and prescient issues. Computer imaginative and prescient works by attempting to imitate the human mind’s functionality of recognising visible info. It makes use of sample recognition algorithms to coach machines on a considerable amount of visible knowledge. The machine/ laptop then processes enter pictures, labels the objects on these pictures, and finds patterns in these objects.

This course is primarily designed to assist people be taught fundamentals of OpenCV , mediapipe library . Moreover , all of the ideas has been showcased with initiatives. It’s the perfect course so that you can start your journey.

OpenCV gives a real-time optimized Computer Imaginative and prescient library, instruments, and {hardware}.

MediaPipe provides cross-platform, customizable ML options for dwell and streaming media.

Streamlit is an open supply app framework in Python language. It helps us create net apps for knowledge science and machine studying in a short while.

Requirements

System with Web Connection

Curiosity to Study

Dedication , Eargerness

What you will be taught ?

  • Numpy

  • Geometric Transformation of Picture

  • Morphological Transformation

  • Occasions in OpenCV

  • Dwell Sketch Mission

  • Restoration of Photos

  • Face & Eye Detection

  • Face Recognition

  • Face Comparability

  • Face Masks Detection

  • Face Mesh

  • Hand Monitoring

  • Physique Pose Detection

  • Holistic Detection

  • 3-D Object Detection

  • Selfie Segmentation

  • StreamLit Fundamentals

  • Dwell Video Feed Utilizing StreamLit

Are there any course necessities or prerequistics?

Primary Data of Python

Who this course for ?

Python Builders captivated with AI & ML

College students & Professionals who desires to develop modern initiatives

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