A simple python script to detect pedestrians in an image using python's opencv

A simple python script to detect pedestrians in an image using python's opencv

Github Link

Steps

• Install openCV
• Place the image to be analyzed in root directory of the project. (In this case I use peds.jpeg)
• Execute following comand from root of the directory : python pedestrian.py peds.jpeg

• It takes a few seconds for it to run, you should following output if running against peds.jpeg image.

  $ python pedestrian.py peds.jpeg Found 31 pedestrian! Image written to file-system : True [ INFO:0] Initialize OpenCL runtime...

• If all goes good, you should see a peds_saved.jpeg in the root directory. That is the analyzed image.

Result

Here is a before and after snapshot of the image after the script was executed on the image.

Actual Code

As can be seen below, it only takes a little over 30 lines in total to get this working. I am using openCV library for this task.

import cv2
import sys

imagePath = sys.argv[1]
cascPath = "haarcascade_pedestrian.xml"
# cascPath = "pedestrian_another.xml"
# cascPath = "haarcascade_fullbody.xml"

pedsCascade =  cv2.CascadeClassifier(cascPath)

# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# detect pedestrian in pic

peds = pedsCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=9,
        minSize=(30, 30)
)

print("Found {0} pedestrian!".format(len(peds)))

# Draw a rectangle around the peds
for (x, y, w, h) in peds:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

# cv2.imshow("Faces found", image)
status = cv2.imwrite('peds_saved.jpg', image)
print ("Image written to file-system : ",status)