71 lines
1.8 KiB
Python
71 lines
1.8 KiB
Python
import sys
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import cv2
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import numpy as np
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import math
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from os.path import exists, basename
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from common import image_resize, display, normalize_angle
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from json import load
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#clockwise from top left
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order = [ 0, 2, 3, 5, 4, 1 ]
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matchMethods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
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'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
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def read_text (textPath) :
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holePunches = {}
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with open(textPath) as json:
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holePunches = load(json)
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return holePunches
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#
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# CALIBRATE
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#
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if len(sys.argv) < 2:
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print('Please provide path of normalized scan to calibrate to')
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exit(1)
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if len(sys.argv) < 3:
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print('Please provide path to output svg template')
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exit(2)
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normalImage = sys.argv[-2]
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if not exists(normalImage) :
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print('Normalized scan does not exist, please provide one that does')
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exit(2)
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normalText = normalImage + '.json'
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if not exists(normalText) :
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print('Corresponding normalized scan text does not exist, please generate one')
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exit(3)
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outputTmpl = sys.argv[-1]
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print(f'Calibrating to scan {basename(normalImage)}')
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registrationMark = cv2.imread('./registration_mark.png', 0)
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w, h = registrationMark.shape[:2]
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holePunches = read_text(normalText)
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original = cv2.imread(normalImage)
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img = original.copy()
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height, width = img.shape[:2]
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orientation = height > width
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if not orientation :
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print(f'Scan is not in portrait mode, exiting...')
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exit(3)
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print(holePunches)
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topHalf = img[holePunches['0']['y']:holePunches['1']['y']+round(height*0.1), holePunches['0']['x']:holePunches['2']['x']]
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topHalfGray = cv2.cvtColor(topHalf, cv2.COLOR_BGR2GRAY)
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res = cv2.matchTemplate(topHalfGray, registrationMark, cv2.TM_CCOEFF_NORMED)
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threshold = 0.5
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loc = np.where( res >= threshold)
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for pt in zip(*loc[::-1]):
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print(f'{pt[0]},{pt[1]}')
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cv2.rectangle(topHalf, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2)
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display(topHalf) |