Draw geometric shapes on images using OpenCV

24 Nov, 2021
OpenCV provides many drawing functions to draw geometric shapes and write text on images. Let’s see some of the drawing functions and draw geometric shapes on images using OpenCV.
Some of the drawing functions are :
cv2.line() : Used to draw line on an image. cv2.rectangle() : Used to draw rectangle on an image. cv2.circle() : Used to draw circle on an image. cv2.putText() : Used to write text on image.
To demonstrate the uses of the above-mentioned functions we need an image of size 400 X 400 filled with a solid color (black in this case). Inorder to do this, We can utilize numpy.zeroes function to create the required image. 
Python3
# Python3 program to draw solid-colored# image using numpy.zeroes() functionimport numpy as npimport cv2  # Creating a black image with 3 channels# RGB and unsigned int datatypeimg = np.zeros((400, 400, 3), dtype = "uint8")cv2.imshow('dark', img)  # Allows us to see image# until closed forcefullycv2.waitKey(0)cv2.destroyAllWindows()
Output : 
Now, let’s draw some geometric shapes on this solid black image. 
cv2.line(imageObjectName, (‘start_coordinates’), (‘end_coordinates’), (‘color_in_bgr’), ‘line_thickness’)
Python3
# Python3 program to draw line# shape on solid imageimport numpy as npimport cv2  # Creating a black image with 3 channels# RGB and unsigned int datatypeimg = np.zeros((400, 400, 3), dtype = "uint8")  # Creating linecv2.line(img, (20, 160), (100, 160), (0, 0, 255), 10)  cv2.imshow('dark', img)  # Allows us to see image# until closed forcefullycv2.waitKey(0)cv2.destroyAllWindows()
Output : 
cv2.rectangle(imageObjectName, (‘top_left_vertex_coordinates’), (‘lower_right_vertex_coordinates’), (‘stroke_color_in_bgr’), ‘stroke_thickness’)
Python3
# Python3 program to draw rectangle# shape on solid imageimport numpy as npimport cv2  # Creating a black image with 3# channels RGB and unsigned int datatypeimg = np.zeros((400, 400, 3), dtype = "uint8")  # Creating rectanglecv2.rectangle(img, (30, 30), (300, 200), (0, 255, 0), 5)  cv2.imshow('dark', img)  # Allows us to see image# until closed forcefullycv2.waitKey(0)cv2.destroyAllWindows()
Output : 
cv2.circle(imageObjectName, (‘center_coordinates’), (‘circle_radius’), (‘color_in_bgr’), ‘stroke_thickness’)
Python3
# Python3 program to draw circle# shape on solid imageimport numpy as npimport cv2  # Creating a black image with 3# channels RGB and unsigned int datatypeimg = np.zeros((400, 400, 3), dtype = "uint8")  # Creating circlecv2.circle(img, (200, 200), 80, (255, 0, 0), 3)  cv2.imshow('dark', img)  # Allows us to see image# until closed forcefullycv2.waitKey(0)cv2.destroyAllWindows()
Output : 
cv2.putText(imageObjectName, ‘TextContent’, (‘text_starting_point_coordinates’), ‘fontToBeUsed’, ‘font_size’, (‘text_color’, ‘text_thickness’, ‘line_type’)
Python
# Python3 program to write # text on solid imageimport numpy as npimport cv2  # Creating a black image with 3# channels RGB and unsigned int datatypeimg = np.zeros((400, 400, 3), dtype = "uint8")  # writing textfont = cv2.FONT_HERSHEY_SIMPLEXcv2.putText(img, 'GeeksForGeeks', (50, 50),            font, 0.8, (0, 255, 0), 2, cv2.LINE_AA)  cv2.imshow('dark', img)  # Allows us to see image# until closed forcefullycv2.waitKey(0)cv2.destroyAllWindows()
Output : 
Applications of drawing shapes on images :  
Drawing geometrical shapes can help us highlight the particular portions of an image.
Geometrical shapes like line can help us point or identify particular regions in image.
Writing text on certain regions of images can add description to that region.
Reference : https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html 
adnanirshad158
OpenCV
Geometric
Python
Geometric
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