In this tutorial, I have touched you, how to create a Live body Detection App in only 7 Minutes. Its computer vision Artificial Intelligence project and I used OpenCV Python Library and Cascade Classifier.
Live Body Detection App
import cv2
# Load the Cascade Classifier
body_cascade = cv2.CascadeClassifier("haarcascade_fullbody.xml")
#startt web cam
cap = cv2.VideoCapture('videos/Subway - 6398.mp4')
while True:
#read image from webcam
respose, color_img = cap.read()
if respose == False:
break
# Convert to grayscale
gray_img = cv2.cvtColor(color_img, cv2.COLOR_BGR2GRAY)
# Detect the faces
faces = body_cascade.detectMultiScale(gray_img, 1.1, 1)
#display rectrangle
for (x, y, w, h) in faces:
cv2.rectangle(color_img, (x, y), (x+w, y+h), (0, 0, 255), 2)
# display image
cv2.imshow('img', color_img)
#v_writer.write(color_img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release the VideoCapture object
cap.release()
cv2.destroyAllWindows()
Rectangle with 2 colors
import cv2
# Load the Cascade Classifier
body_cascade = cv2.CascadeClassifier("haarcascade_fullbody.xml")
#startt web cam
cap = cv2.VideoCapture('videos/People - 6387.mp4')
while True:
#read image from webcam
respose, color_img = cap.read()
if respose == False:
break
# Convert to grayscale
gray_img = cv2.cvtColor(color_img, cv2.COLOR_BGR2GRAY)
# Detect the faces
faces = body_cascade.detectMultiScale(gray_img, 1.1, 1)
#display rectrangle
i=0
for (x, y, w, h) in faces:
if i%2==0:
cv2.rectangle(color_img, (x, y), (x+w, y+h), (0, 0, 255), 2)
i +=1
else:
cv2.rectangle(color_img, (x, y), (x+w, y+h), (0, 255, 0), 2)
i +=1
# display image
cv2.imshow('img', color_img)
#v_writer.write(color_img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release the VideoCapture object
cap.release()
cv2.destroyAllWindows()