Created
January 18, 2022 05:13
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belt_length
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import cv2 | |
import numpy as np | |
import math | |
imgSize = 600,600, 3 | |
coreCenter = 300,300 | |
coreSize = 50 | |
beltThickness = .045 | |
beltLength = 5025 | |
segmentStart = coreCenter[0], coreCenter[1] + coreSize | |
distanceFromCore = coreSize | |
measuredDistance = 0 | |
img = np.zeros((imgSize), np.uint8) | |
cv2.circle(img, coreCenter, coreSize, (123,123,123), -1) | |
def distance(a,b): | |
return math.sqrt((a[0]-b[0])**2 + (a[1]-b[1])**2) | |
for i in range(beltLength): | |
angle = i / 100.0 | |
segmentEndX = math.sin(angle) * distanceFromCore + coreCenter[0] | |
segmentEndY = math.cos(angle) * distanceFromCore + coreCenter[1] | |
segmentEnd = tuple(np.array((segmentEndX, segmentEndY), int)) | |
cv2.line(img, segmentStart, segmentEnd, (255,255,255), 1) | |
measuredDistance += distance(segmentStart, segmentEnd) | |
distanceFromCore += beltThickness | |
segmentStart = segmentEnd | |
print(measuredDistance) | |
cv2.imshow('img', img) | |
cv2.imwrite('/home/stephen/Desktop/belt.png', img) | |
cv2.waitKey() | |
cv2.destroyAllWindows() |
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