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Author: InceptCoder10

Pedestrian_detection.py

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+import cv2
+
+cap = cv2.VideoCapture('in.avi')
+
+
+human_cascade = cv2.CascadeClassifier('haarcascade_fullbody.xml')
+
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+
+    # Our operations on the frame come here
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    humans = human_cascade.detectMultiScale(gray, 1.9, 1)
+    
+    # Display the resulting frame
+    for (x,y,w,h) in humans:
+         cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
+         
+         
+
+    cv2.imshow('frame',frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()