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

Unlock the possibilities of OpenCV , Mediapipe & Streamlit
What you'll learn
Proper Understanding of Numpy Module
How OpenCV works with image / video files
Manipulate Images with OpenCV & Numpy
Draw Geometric Shapes on Images
Geometric & Morphological Transformations on Image
Brightening & Darkening of Images
Live Sketch Using OpenCV
Live Video Feed using Streamlit
Image Inpainting Techniques
Face & Eye Detection using Haar Cascade Algorithm
Face Comparison
Mediapipe Projects : Face Mesh , Hand Tracking , Body Pose Detection , Selfie Segmentation
Face Mask Detection
Requirements
A good knowledge of Python Commands
Webcam for live video feed projects
Description
Computer Vision is a cutting edge technological advancement which offers a sense of varied possibilities. OpenCV-Python is a great tool for fast prototyping of computer vision problems. Computer vision works by trying to mimic the human brain's capability of recognising visual information. It uses pattern recognition algorithms to train machines on a large amount of visual data. The machine/ computer then processes input images, labels the objects on these images, and finds patterns in those objects.

This course is primarily designed to help individuals learn basics of OpenCV , mediapipe library . Furthermore , all the concepts has been showcased with projects. It is the ideal course for you to begin your adventure.

OpenCV provides a real-time optimized Computer Vision library, tools, and hardware.

MediaPipe offers cross-platform, customizable ML solutions for live and streaming media.

Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time.

Requirements
System with Internet Connection
Interest to Learn
Dedication , Eargerness

What you'll learn ?
Numpy
Geometric Transformation of Image
Morphological Transformation
Events in OpenCV
Live Sketch Project
Restoration of Images
Face & Eye Detection
Face Recognition
Face Comparison
Face Mask Detection
Face Mesh
Hand Tracking
Body Pose Detection
Holistic Detection
3-D Object Detection
Selfie Segmentation
StreamLit Basics
Live Video Feed Using StreamLit

Are there any course requirements or prerequistics?
Basic Knowledge of Python

Who this course for ?
Python Developers passionate about AI & ML
Students & Professionals who wants to develop innovative projects


Who this course is for:
Python Developers passionate about AI & ML
Students & Professionals who wants to develop innovative projects

More Info