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detect.py
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detect.py
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import numpy as np
import cv2
#this is the cascade we just made. Call what you want
fist_cascade = cv2.CascadeClassifier('data/fist.xml')
cap = cv2.VideoCapture(0)
while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#faces = face_cascade.detectMultiScale(gray, 1.3, 5)
# add this
# image, reject levels level weights.
fists = fist_cascade.detectMultiScale(gray, minSize=(100, 100))
# add this
for (x,y,w,h) in fists:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2)
# for (x,y,w,h) in faces:
# cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
#eyes = eye_cascade.detectMultiScale(roi_gray)
#for (ex,ey,ew,eh) in eyes:
# cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()