Initial commit

OpenCV/tutoriel3/cars.py

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