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freeCodeCamp

OpenCV Python Course - Learn Computer Vision and AI

via freeCodeCamp

Overview

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Video course teaching computer vision with the OpenCV library in Python, covering reading and writing images and video, basic image manipulation, annotation and enhancement, camera access, filtering and edge detection, image features and alignment, panorama stitching, HDR imaging, object tracking, face and object detection, and pose estimation with OpenPose, closing with an interview with OpenCV CEO Dr. Satya Mallick. Suited to programmers new to computer vision who already know some Python.

Syllabus

Intro .
Module 1: Getting Started with Images .
Module 2: Basic Image Manipulation .
Module 3: Image Annotation .
Module 4: Image Enhancement .
Module 5: Accessing the Camera .
Module 6: Read and Write Videos .
Module 7: Image Filtering and Edge Detection .
Module 8: Image Features and Image Alignment.
Module 9: Image Stitching and Creating Panoramas .
Module 10: High Dynamic Range Imaging (HDR) .
Module 11: Object Tracking .
Module 12: Face Detection .
Module 13: Object Detection .
Module 14: Pose Estimation using OpenPose .
Interview with OpenCV CEO, Dr. Satya Mallick .

Taught by

freeCodeCamp.org

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Azizullah Rahu
    Azizullah Rahu
    I have learnt many more about OpenCV from basic to intermediate level.
    Now I am enable to make my own projects on OpenCV it was very useful for me.

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