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#!/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()
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