In this video, we will go through the complete tutorial of OpenCV Python, starting from installing the libraries and importing them. we will see the syntax of all the functions available in OpenCV and its practical application in Jupiter Notebook.
OpenCV (Open Source Computer Vision) is a free and open-source computer vision and machine learning software library that can be used in various applications, including object detection, recognition, and tracking.
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Timestamps:
00:00 Introduction
05:00 Install the Library
06:40 Import the Library
07:15 Read an Image
14:55 Display an Image
21:20 Write an Image
25:13 Grayscaling of images
31:55 Image Resizing
40:35 Image Rotation
48:48 Image Blurring
57:32 Image Shifting
1:04:30 Thresholding Techniques
1:09:32 Simple Thresholding
1:21:55 Adaptive Thresholding
1:28:55 OTSU Thresholding
1:33:55 Convert an image from one color space to another
1:39:50 HSV Color space
1:47:00 Draw a Line
1:51:30 Draw an Arrow segment
1:54:13 Draw a Circle
1:57:00 Draw a Rectangle
2:00:55 Draw an Ellipse
2:05:25 Draw a Text String
2:09:40 Find Co-ordinates of Contours
2:18:30 Draw an image with Contours
2:22:40 Draw image with Co-ordinates of Contours
2:29:25 Edge Detection
2:32:20 Line detection using the Houghline method
2:39:10 Circle Detection
2:47:05 Detect the corner of an image