Car & Pedestrian Detection

NOTE

  • If no video loads after running code, you may need to copy your opencv_ffmpeg.dll
  • From: C:\opencv2413\opencv\sources\3rdparty\ffmpeg
  • To: Where your python is installed e.g. C:\Anaconda2\ \
  • Once it's copied you'll need to rename the file according to the version of OpenCV you're using.
  • e.g. if you're using OpenCV 2.4.13 then rename the file as:
  • opencv_ffmpeg2413_64.dll or opencv_ffmpeg2413.dll (if you're using an X86 machine)
  • opencv_ffmpeg310_64.dll or opencv_ffmpeg310.dll (if you're using an X86 machine)

To find out where you python.exe is installed, just run these two lines of code:

In [1]:
import sys
print(sys.executable)

/home/gamer/anaconda3/bin/python

Pedistrian Detection

In [2]:
import cv2
import numpy as np

# Create our body classifier
body_classifier = cv2.CascadeClassifier('Haarcascades/haarcascade_fullbody.xml')

# Initiate video capture for video file
cap = cv2.VideoCapture('images/walking.avi')

# Loop once video is successfully loaded
while cap.isOpened():
    
    # Read first frame
    ret, frame = cap.read()
    frame = cv2.resize(frame, None,fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Pass frame to our body classifier
    bodies = body_classifier.detectMultiScale(gray, 1.2, 3)
    
    # Extract bounding boxes for any bodies identified
    for (x,y,w,h) in bodies:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 255), 2)
        cv2.imshow('Pedestrians', frame)

    if cv2.waitKey(1) == 13: #13 is the Enter Key
        break

cap.release()
cv2.destroyAllWindows()

Car Detection

In [3]:
import cv2
import time
import numpy as np

# Create our body classifier
car_classifier = cv2.CascadeClassifier('Haarcascades/haarcascade_car.xml')

# Initiate video capture for video file
cap = cv2.VideoCapture('images/cars.avi')


# Loop once video is successfully loaded
while cap.isOpened():
    
    time.sleep(.05)
    # Read first frame
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
   
    # Pass frame to our car classifier
    cars = car_classifier.detectMultiScale(gray, 1.4, 2)
    
    # Extract bounding boxes for any bodies identified
    for (x,y,w,h) in cars:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 255), 2)
        cv2.imshow('Cars', frame)

    if cv2.waitKey(1) == 13: #13 is the Enter Key
        break

cap.release()
cv2.destroyAllWindows()