gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = CascadeClassifier.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)

for (x, y, w, h) in faces:
    print(x,y,w,h)
    roi_gray = gray[y:y+h, x:x+w]

    roi_color = gray[y:y+h, x:x+w]

    img_item = 'image.png'
    cv2.imwrite(img_item, roi_gray)
# Our operations on the frame come here

color = (255,0,0) #BGR 0=255

stroke = 2


end_cord_x = x + w

end_cord_y = y + h

cv2.rectangle(frame, (x, y), (end_cord_x, end_cord_y), color, stroke)

# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(20) & 0xFF == ord('q'):
    break

 # When everything done, release the capture
 cap.release()
 cv2.destroyAllWindows()

File "camera-test.py", line 34, in <module>
end_cord_x = x + w
NameError: name 'x' is not defined