#code modified from https://pythonprogramming.net/haar-cascade-object-detection-python-opencv-tutorial/

import numpy as np
import cv2
import os

thot_cascade = cv2.CascadeClassifier('face_cascade.xml')

launched = False
capturing = False
saved = 0
recent_saved = 0

img = cv2.imread("IMG_2619.jpg", 0)
print(img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thots = thot_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in thots:
    font = cv2.FONT_HERSHEY_SIMPLEX
    if not launched:
        pass
        #os.system("ard.exe")
    capturing = True
    recent_saved = 0
    cv2.putText(img, 'THOT',(x+w,y+h), font, 0.5, (11,255,255), 2, cv2.LINE_AA)
    cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2)
    cv2.imwrite("detected_thot_" + str(saved) + ".jpg", img)