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fileLynda-OpenCV-for-Python--1HQDy

Lynda OpenCV for Python Developers
  • MP401-Welcome.mp46.55MB
  • MP402-What you should know.mp42.22MB
  • MP403-How to use the exercise files.mp4598.47KB
  • MP404-Python and OpenCV.mp43.00MB
  • MP405-Install on c OS X.mp419.18MB
  • MP406-Install on Windows 7.mp411.29MB
  • MP407-Install on Linux - Prerequisites.mp418.98MB
  • MP408-Install on Linux - Compile OpenCV.mp416.64MB
  • MP409-Test the install.mp44.08MB
  • MP410-Get started with OpenCV and Python.mp411.42MB
  • MP411-Access and understand pixel data.mp49.49MB
  • MP412-Data types and structures.mp418.01MB
  • MP413-Ige types and color channels.mp423.57MB
  • MP414-Pixel nipulation and filtering.mp411.47MB
  • MP415-Blur dilation and erosion.mp415.06MB
  • MP416-Scale and rotate iges.mp414.00MB
  • MP417-Use video inputs.mp411.46MB
  • MP418-Create custom interfaces.mp412.78MB
  • MP419-Challenge - Create a simple drawing app.mp44.31MB
  • MP420-Solution - Create a simple drawing app.mp417.18MB
  • MP421-Segmentation and binary iges.mp44.08MB
  • MP422-Simple thresholding.mp414.73MB
  • MP423-Adaptive thresholding.mp412.42MB
  • MP424-Skin detection.mp418.78MB
  • MP425-Introduction to contours.mp44.34MB
  • MP426-Contour ob<x>ject detection.mp410.49MB
  • MP427-Area perimeter center and curvature.mp415.18MB
  • MP428-Canny edge detection.mp410.92MB
  • MP429-ob<x>ject detection overview.mp45.88MB
  • MP430-Challenge - Assign ob<x>ject ID and attributes.mp42.72MB
  • MP431-Solution - Assign ob<x>ject ID and attributes.mp419.69MB
  • MP432-Overview of face and feature detection.mp44.13MB
  • MP433-Introduction to template tching.mp46.33MB
  • MP434-Application of template tching.mp412.99MB
  • MP435-Haar cascading.mp45.26MB
  • MP436-Face detection.mp413.07MB
  • MP437-Challenge - Eye detection.mp42.01MB
  • MP438-Solution - Eye detection.mp412.61MB
  • MP439-Additional techniques.mp410.89MB
  • MP440-Next steps.mp43.27MB
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