mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 20:20:20 +08:00
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
#!/usr/bin/env python
|
|
|
|
'''
|
|
Test for copyto with mask
|
|
'''
|
|
|
|
# Python 2/3 compatibility
|
|
from __future__ import print_function
|
|
|
|
import numpy as np
|
|
import cv2 as cv
|
|
import sys
|
|
|
|
from tests_common import NewOpenCVTests
|
|
|
|
class copytomask_test(NewOpenCVTests):
|
|
def test_copytomask(self):
|
|
|
|
img = self.get_sample('python/images/baboon.png', cv.IMREAD_COLOR)
|
|
eps = 0.
|
|
|
|
#Create mask using inRange
|
|
valeurBGRinf = np.array([0,0,100])
|
|
valeurBGRSup = np.array([70, 70,255])
|
|
maskRed = cv.inRange(img, valeurBGRinf, valeurBGRSup)
|
|
#New binding
|
|
dstcv = np.ndarray(np.array((2, 2, 1))*img.shape, dtype=img.dtype)
|
|
dstcv.fill(255)
|
|
cv.copyTo(img, maskRed, dstcv[:img.shape[0],:img.shape[1],:])
|
|
#using numpy
|
|
dstnp = np.ndarray(np.array((2, 2, 1))*img.shape, dtype=img.dtype)
|
|
dstnp.fill(255)
|
|
mask2=maskRed.astype(bool)
|
|
_, mask_b = np.broadcast_arrays(img, mask2[..., None])
|
|
np.copyto(dstnp[:img.shape[0],:img.shape[1],:], img, where=mask_b)
|
|
self.assertEqual(cv.norm(dstnp ,dstcv), eps)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
NewOpenCVTests.bootstrap()
|