Created
May 2, 2019 23:48
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#!/usr/bin/env python | |
import cv2 as cv | |
upper = cv.CascadeClassifier("haarcascade_upperbody.xml") | |
body = cv.CascadeClassifier("haarcascade_fullbody.xml") | |
face = cv.CascadeClassifier("haarcascade_frontalface_default.xml") | |
smile = cv.CascadeClassifier("haarcascade_smile.xml") | |
def detect(cascade, frame): | |
return cascade.detectMultiScale(gray, 1.3, 5) | |
def drawn(frame, entities, color, thickness): | |
(r, g, b) = color | |
for (x, y, w, h) in entities: | |
cv.rectangle(frame, (x, y), (x+w, y+h), (r, g, b), thickness) | |
cam = cv.VideoCapture(0) | |
while True: | |
ret, frame = cam.read() | |
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) | |
bodies = detect(body, gray) | |
drawn(frame, bodies, (0, 255, 0), 2) | |
uppers = detect(upper, gray) | |
drawn(frame, uppers, (255, 0, 0), 2) | |
faces = detect(face, gray) | |
drawn(frame, faces, (255, 0, 255), 2) | |
smiles = detect(smile, gray) | |
drawn(frame, smiles, (255, 0, 255), 2) | |
cv.imshow('frame', frame) | |
if cv.waitKey(1) & 0xFF == ord('q'): | |
break | |
cam.release() | |
cv.destroyAllWindows() |
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