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33 lines
1.1 KiB
33 lines
1.1 KiB
'''
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Created on May 7, 2014
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@author: eran
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'''
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import cv2
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from adiencealign.cascade_detection.cascade_detector import CascadeResult
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import numpy as np
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def draw_rect(img, r, angle = 0, color=(255,255,255), thickness = 4, alpha = 0.5):
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'''
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accepts:
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1. a (x,y,dx,dy) list
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4. a [(x,y,dx,dy),score] list, as returned by cv2.CascadeClassifier.detectMultiScaleWithScores()
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5. a CascadeResult object
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'''
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if type(r) == CascadeResult:
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color = tuple(list(color) + [alpha])
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cv2.polylines(img, pts = [r.points_int], isClosed = True, color = color, thickness = thickness)
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return
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elif len(r)==4 or len(r)==2: # [x,y,dx,dy]
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if len(r)==2:
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if len(r[0]) == 4:
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r = r[0]
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else:
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raise Exception("bad input to draw_rect...")
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pt1 = int(round(r[0])), int(round(r[1]))
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pt2 = int(round(r[0]+r[2])), int(round(r[1]+r[3]))
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color = tuple(list(color) + [alpha])
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cv2.rectangle(img, pt1, pt2, color, thickness = thickness)
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else:
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raise Exception("bad input to draw_rect...")
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return
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