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Chapter_2: BASIC FUNCTIONS OF OPENCV
Conversion in GrayScale Image
Image Blurring
Edge Detector
Image Dilation
Image Erosion
Chapter_3: RESIZING & CROPPING
Resizing
Cropping
Chapter_4: SHAPES & TEXTS
Get a completely black image
Put Colours on the image
Draw shapes in the image - Lines, Rectangle, Circle
Put Text on the image
Chapter_5: WARP PERSPECTIVE
Get the warp perspective of any image
Chapter_6: JOINING IMAGES
Horizontal Stacking
Vertical Stacking
Chapter_7: COLOR DETECTION
Convert RGB image to HSV.
Create Trackbar.
Create Mask.
Tune HSV parameters from trackbar to get desired shape of object in white in the mask.
Get the actual color of object in image.
Chapter_8: CONTOUR AND SHAPE DETECTION
Convert RGB image to GRAYSCALE then BLURRED and detect edges.
find and draw contour of detected edges.
Calculate area, arclength and no. of corners of contour.
Draw bounding box arround the detected contour.
Put text (shape name) on the detected shape or contour.
Chapter_9: FACE DETECTION
Using default cascade to find face in the input image.
Draw bounding box arround the detected face.
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Basics of Computer Vision in multiple chapters
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