The example in this article describes the simple sketchpad implementation method of Python image processing. Share it with everyone for your reference, the details are as follows:
Python image processing is also implemented by relying on the Python interface of opencv. The Python language is simple, easy to understand, concise and clear. This time to implement drawing board graffiti, one is to draw rectangles and lines inside. Others can also be expanded. This case is just a routine. The idea is to handle mouse events and adjust the color of the scroll bar. Mouse events include left button press and release event processing.
import cv2 import numpy as np # null function def nothing(x): pass Drawing = False Mode = True IX,IY = -1,-1 def drawCircle(Event,X,Y,Flags,Param): R = cv2.getTrackbarPos('R','Image') G = cv2.getTrackbarPos('G','Image') B = cv2.getTrackbarPos('B','Image') #get color value Color = (B,G,R); global IX,IY,Drawing,Mode if Event == cv2.EVENT_LBUTTONDOWN: Drawing = True IX,IY = X,Y elif Event == cv2.EVENT_MOUSEMOVE and Flags == cv2.EVENT_FLAG_LBUTTON: if Drawing == True: if Mode == True: cv2.rectangle(Img,(IX,IY),(X,Y),Color,-1) else: cv2.circle(Img,(X,Y),3,Color,-1); elif Event == cv2.EVENT_LBUTTONUP: Drawing = False #create image with 3 chanels Img = np.zeros((660,660,3),np.uint8) #create window cv2.namedWindow('Image') #create track bar, range for 0~255 cv2.createTrackbar('R','Image',0,255,nothing) cv2.createTrackbar('G','Image',0,255,nothing) cv2.createTrackbar('B','Image',0,255,nothing) #set mouse ack cv2.setMouseCallback('Image',drawCircle) while(1): cv2.imshow('Image',Img) k = cv2.waitKey(10)&0xFF #switch draw mode if k == ord('m'): Mode = not Mode elif k == 27: break #you must destroy all of sources cv2.destroyAllWindows()
The final rendering is as follows:
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