cv2_humandetect.py

import cv2
import numpy as np

cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
cascade_path = cv2.data.haarcascades + "haarcascade_frontalface_default.xml"
face_cascade = cv2.CascadeClassifier(cascade_path)

while True:
    ret, frame = cap.read()
    frame = cv2.flip(frame, 1)

    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray_frame, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        roi = frame[y:y + h, x:x + w]
        cv2.imshow("Insan", roi)
        cv2.putText(frame, "Insan", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)

    cv2.imshow("Webcam", frame)

    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

cap.release()
cv2.destroyAllWindows()