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

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Published 1/2023
Created by Radha Kumari Ray
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 53m ) | Size: 2.1 GB

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.RequirementsSystem with Internet ConnectionInterest to LearnDedication , Eargerness What you’ll learn ?Numpy Geometric Transformation of ImageMorphological TransformationEvents in OpenCVLive Sketch ProjectRestoration of ImagesFace & Eye DetectionFace Recognition Face ComparisonFace Mask DetectionFace Mesh Hand TrackingBody Pose DetectionHolistic Detection3-D Object DetectionSelfie SegmentationStreamLit BasicsLive Video Feed Using StreamLitAre there any course requirements or prerequistics?Basic Knowledge of PythonWho this course for ?Python Developers passionate about AI & MLStudents & 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


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