Computer Vision with Python Treningskurs

Kurskode

pythoncomputervision

Varighet

14 timer (vanligvis 2 dag inkludert pauser)

Krav

  • Programming experience with Python

Oversikt

Computer Vision er et felt som innebærer automatisk å trekke ut, analysere og forstå nyttig informasjon fra digitale medier. Python er et programmeringsspråk på høyt nivå kjent for sin klare syntaks og kodelesbarhet.

I denne instruktørledede, liveopplæringen, vil deltakerne lære det grunnleggende om Computer Vision når de går gjennom opprettelsen av et sett med enkel Computer Vision-applikasjon ved hjelp av Python .

Ved slutten av denne opplæringen vil deltakerne kunne:

  • Forstå det grunnleggende i Computer Vision
  • Bruk Python til å implementere Computer Vision-oppgaver
  • Bygg sine egne ansikts-, objekt- og bevegelsesdeteksjonssystemer

Publikum

  • Python programmerere som er interessert i Computer Vision

Kursets format

  • Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Machine Translated

Kursplan

Introduction

Understanding Computer Vision Basics

Installing OpenCV with Python Wrappers

Introduction to Using OpenCV

Using Media with Python

  • Loading Images
  • Converting Color to Grayscale
  • Using Metadata

Applying Image Theory with Python

  • Understanding Images as Multidimensional Arrays
  • Understanding the Color Space
  • Overview of Pixels and Coordinates
  • Accessing Pixels
  • Changing Pixels in Images
  • Drawing Lines and Shapes
  • Applying Text on Images
  • Resizing Images
  • Cropping Images

Exploring Common Computer Vision Algorithms and Methods

  • Thresholding
  • Finding Contours
  • Background Subtraction
  • Using Detectors

Implementing Feature Extraction with Python

  • Using Feature Vectors
  • Understanding the Color-mean Features Theory
  • Extracting Histogram Features
  • Extracting Grayscale Histogram Features
  • Extracting Texture Features

Implementing an App to Detect Image Similarity

Implementing a Reverse Image Search Engine

Creating an Object Detection App Using Template Matching

Creating a Face Detection App Using Haar Cascade

Implementing an Object Detection App Using Keypoints

Capturing and Processing Video through a WebCam

Creating a Motion Detection System

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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