54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
import cv2
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import numpy as np
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from matplotlib import pyplot as plt
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objet=0
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nbr_classes=180
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seuil=30
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term_criteria=(cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1.0)
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def click(event, x, y, flags, param):
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global roi_x, roi_y, roi_w, roi_h, roi_hist, frame, objet
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if event==cv2.EVENT_LBUTTONDBLCLK:
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roi_x, roi_y, roi_w, roi_h=cv2.selectROI('ROI', frame, False, False)
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roi=frame[roi_y: roi_y + roi_h, roi_x: roi_x + roi_w]
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hsv_roi=cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
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roi_hist=cv2.calcHist([hsv_roi], [0], None, [nbr_classes], [0, nbr_classes])
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cv2.normalize(roi_hist, roi_hist, 0, 255, cv2.NORM_MINMAX)
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cv2.destroyWindow('ROI')
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plt.clf()
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plt.plot(roi_hist)
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plt.show(block=False)
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plt.pause(0.01)
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objet=1
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video=cv2.VideoCapture(0)
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cv2.namedWindow('Camera')
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cv2.setMouseCallback('Camera', click)
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while True:
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ret, frame=video.read()
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if objet:
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hsv=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
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mask=cv2.calcBackProject([hsv], [0], roi_hist, [0, nbr_classes], 1)
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_, mask=cv2.threshold(mask, seuil, 255, cv2.THRESH_BINARY)
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mask=cv2.erode(mask, None, iterations=3)
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mask=cv2.dilate(mask, None, iterations=3)
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_, rect=cv2.meanShift(mask, (roi_x, roi_y, roi_w, roi_h), term_criteria)
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roi_x, roi_y, w, h=rect
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cv2.rectangle(frame, (roi_x, roi_y), (roi_x + w, roi_y + h), (255, 255, 255), 2)
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cv2.imshow("Mask", mask)
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cv2.putText(frame, "seuil[p|m]: {:d}".format(seuil), (10, 40), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 0), 1)
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cv2.imshow("Camera", frame)
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key=cv2.waitKey(10)&0xFF
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if key==ord('q'):
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quit()
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if key==ord('p'):
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seuil=min(250, seuil+1)
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if key==ord('m'):
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seuil=max(1, seuil-1)
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video.release()
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cv2.destroyAllWindows()
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