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OpenCV_Base

Data Science Techniken der Computer Vision mit Python, OpenCV, und Deep Learning

Based on the couse by José Portilla: "Python for Computer Vision with OpenCV and Deep Learning" & Basiert auf dem Udemy Kurs von Dr. René Brunner: "Python für Computer Vision und Data Science mit OpenCV"

Topics -Images with NumPy

  • Image and Video Basics with NumPy
  • Color Mappings
  • Blending and Pasting Images
  • Image Thresholding
  • Blurring and Smoothin
  • Morphological Operators
  • Gradients
  • Histograms
  • Streaming video with OpenCV
  • Object Detection
  • Template Matching
  • Corner, Edge, and Grid Detection
  • Contour Detection
  • Feature Matching
  • WaterShed Algorithm
  • Face Detection
  • Object Tracking
  • Optical Flow
  • Deep Learning with Keras
  • Keras and Convolutional Networks
  • Customized Deep Learning Networks
  • State of the Art YOLO Networks

Themen

  • Bilder mit NumPy
  • Bild- und Videogrundlagen mit NumPy
  • Farbmappings
  • Mischen und Einfügen von Bildern
  • Bild Schwellenwerte
  • Weichzeichnen und Glätten
  • Morphologische Operationen
  • Gradienten
  • Histogramme
  • Video Streaming mit OpenCV
  • Objekterkennung
  • Vorlagen Matching
  • Ecken-, Kanten- und Rastererkennung
  • Konturenerkennung
  • Feature Matching
  • WaterShed Algorithmus
  • Gesichtserkennung
  • Objektverfolgung
  • Optischer Fluss
  • Deep Learning mit Keras
  • Keras und Konvolutionelle Networks
  • Benutzerdefinierte Deep Learning Netzwerke
  • Modernste YOLO Netzwerke

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