SIH/ObjectMeasurement.py at main · SaiNikhita-P/SIH · GitHub

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import cv2
import utils

###################################
webcam = False
path = 'cal.png'
cap = cv2.VideoCapture(0)
cap.set(10, 160)
cap.set(3, 1920)
cap.set(4, 1080)
scale = 3
wP = 210 * scale
hP = 297 * scale
###################################

image_processed = False  # Flag to break the loop

while True:
    if webcam:
        success, img = cap.read()
        if not success:  # Check if webcam frame is not captured
            continue
    else:
        img = cv2.imread(path)

    imgContours, conts = utils.getContours(img, minArea=50000, filter=4)
    if len(conts) != 0:
        biggest = conts[0][2]
        imgWarp = utils.warpImg(img, biggest, wP, hP)
        imgContours2, conts2 = utils.getContours(imgWarp,
                                                 minArea=2000, filter=4,
                                                 cThr=[50, 50], draw=False)
        if len(conts2) != 0:
            for obj in conts2:
                cv2.polylines(imgContours2, [obj[2]], True, (0, 255, 0), 2)
                nPoints = utils.reorder(obj[2])
                nW = round((utils.findDis(nPoints[0][0] // scale, nPoints[1][0] // scale) / 10), 1)
                nH = round((utils.findDis(nPoints[0][0] // scale, nPoints[2][0] // scale) / 10), 1)
                cv2.arrowedLine(imgContours2, (nPoints[0][0][0], nPoints[0][0][1]),
                                (nPoints[1][0][0], nPoints[1][0][1]),
                                (255, 0, 255), 3, 8, 0, 0.05)
                cv2.arrowedLine(imgContours2, (nPoints[0][0][0], nPoints[0][0][1]),
                                (nPoints[2][0][0], nPoints[2][0][1]),
                                (255, 0, 255), 3, 8, 0, 0.05)
                x, y, w, h = obj[3]
                cv2.putText(imgContours2, '{}cm'.format(nW), (x + 30, y - 10),
                            cv2.FONT_HERSHEY_COMPLEX_SMALL, 1.5, (255, 0, 255), 2)
                cv2.putText(imgContours2, '{}cm'.format(nH), (x - 70, y + h // 2),
                            cv2.FONT_HERSHEY_COMPLEX_SMALL, 1.5, (255, 0, 255), 2)
                print(nH)
                print(nW)
            image_processed = True  # Image processed successfully
            cv2.imshow('A4', imgContours2)

    img = cv2.resize(img, (0, 0), None, 0.5, 0.5)
    cv2.imshow('Original', img)
    cv2.waitKey(1)

    if image_processed:  # Break the loop if processing is done
        break

# Release resources
cap.release()
cv2.destroyAllWindows()