Beginners • Re: image processing

Code:

#!/usr/bin/env python3import cv2import numpy as npfrom picamera2 import Picamera2# start the video streampicam2 = Picamera2()picam2.configure(picam2.create_preview_configuration(main={"format": 'XRGB8888', "size": (640, 480)}))picam2.start()font = cv2.FONT_HERSHEY_SIMPLEXcv2.namedWindow('image')# startup valueslowH = 130highH = 200lowS = 100highS = 255lowV = 0highV = 255# crop setup# crop1x1_1 = 340x1_2 = 400y1_1 = 160y1_2 = 190#crop2x2_1 = 340x2_2 = 400y2_1 = 125y2_2 = 155 def callback(x):    pass# create trackbars for color changecv2.createTrackbar('lowH','image',lowH,255,callback)cv2.createTrackbar('highH','image',highH,200,callback)cv2.createTrackbar('lowS','image',lowS,255,callback)cv2.createTrackbar('highS','image',highS,255,callback)cv2.createTrackbar('lowV','image',lowV,255,callback)cv2.createTrackbar('highV','image',highV,255,callback)while True:    # grab the frame    frame = picam2.capture_array()    # get trackbar positions    lowH = cv2.getTrackbarPos('lowH', 'image')    highH = cv2.getTrackbarPos('highH', 'image')    lowS = cv2.getTrackbarPos('lowS', 'image')    highS = cv2.getTrackbarPos('highS', 'image')    lowV = cv2.getTrackbarPos('lowV', 'image')    highV = cv2.getTrackbarPos('highV', 'image')    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)    lower_hsv = np.array([lowH, lowS, lowV])    higher_hsv = np.array([highH, highS, highV])    mask = cv2.inRange(hsv, lower_hsv, higher_hsv)    frame2 = cv2.bitwise_and(frame, frame, mask=mask)       # define cropped areas    cv2.rectangle(frame2, (x1_1, y1_1), (x1_2, y1_2), (0, 255, 0), 2)    cropped_img1 = frame2[y1_1:y1_2, x1_1:x1_2]    cv2.rectangle(frame2, (x2_1, y2_1), (x2_2, y2_2), (0, 255, 0), 2)    cropped_img2 = frame2[y2_1:y2_2, x2_1:x2_2]    # convert crops to gray and calculate sum    gray_frame1 = cv2.cvtColor( cropped_img1, cv2.COLOR_BGR2GRAY)    gray_frame2 = cv2.cvtColor( cropped_img2, cv2.COLOR_BGR2GRAY)    cv2.putText(frame2,str(np.sum(gray_frame1)), (400,200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)    cv2.putText(frame2,str(np.sum(gray_frame2)), (400,160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 2)        # show the images        dim = (320, 240)    resize1 = cv2.resize(frame, dim, interpolation = cv2.INTER_AREA)    resize2 = cv2.resize(frame2, dim, interpolation = cv2.INTER_AREA)    output = np.hstack((resize1,resize2))    cv2.imshow('image', output)        k = cv2.waitKey(10)     # press esc to quit    if k == 27:        breakcv2.destroyAllWindows()