teste_opencv_1.py

"""
dependências:
* python2
* opencv
* numpy
* matplotlib
"""

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while True:
    _, frame = cap.read()
#   _, thr = cv2.threshold(frame, 12, 120, cv2.THRESH_BINARY_INV)

#   grayscale = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
#   gauss = cv2.adaptiveThreshold(grayscale,
#           255,
#           cv2.ADAPTIVE_THRESH_MEAN_C,
#            cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
#           cv2.THRESH_BINARY_INV, 155, 1)
    
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    low = np.array([160,10,0])
    up = np.array([190,255,255])
    mask = cv2.inRange(hsv, low, up)
    res = cv2.bitwise_and(frame, frame, mask=mask)

    cv2.imshow("cam",frame)
#    cv2.imshow("thresh",thr)
#    cv2.imshow("gauss",gauss)
    cv2.imshow("mask",mask)
    cv2.imshow("res",res)
    if cv2.waitKey(2) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()