19 lines
650 B
Python
19 lines
650 B
Python
|
import cv2
|
||
|
import numpy
|
||
|
|
||
|
cap = cv2.VideoCapture(2)
|
||
|
|
||
|
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
|
||
|
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
|
||
|
|
||
|
while True:
|
||
|
_, frame = cap.read()
|
||
|
grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
|
||
|
t1 = cv2.adaptiveThreshold(grey, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 3, 7)
|
||
|
t2 = cv2.adaptiveThreshold(grey, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 13, 7)
|
||
|
t3 = cv2.adaptiveThreshold(grey, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 23, 7)
|
||
|
|
||
|
threshed = numpy.concatenate((t1, t2, t3), axis=1)
|
||
|
cv2.imshow('threshed', threshed)
|
||
|
cv2.waitKey(1)
|