21 lines
720 B
Python
21 lines
720 B
Python
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import cv2
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import numpy as np
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object_cascade=cv2.CascadeClassifier("./cars.xml")
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cap=cv2.VideoCapture('cars.mp4')
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while True:
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ret, frame=cap.read()
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tickmark=cv2.getTickCount()
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gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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object=object_cascade.detectMultiScale(gray, scaleFactor=1.10, minNeighbors=3)
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for x, y, w, h in object:
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cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
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fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
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cv2.putText(frame, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
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cv2.imshow('video', frame)
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if cv2.waitKey(1)&0xFF==ord('q'):
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break
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cap.release()
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cv2.destroyAllWindows()
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