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#!/usr/bin/env python
import numpy as np
import cv2 as cv
import os
from tests_common import NewOpenCVTests
# Plaidml is an optional backend
pkgs = [
('ocl' , cv.gapi.core.ocl.kernels()),
('cpu' , cv.gapi.core.cpu.kernels()),
('fluid' , cv.gapi.core.fluid.kernels())
# ('plaidml', cv.gapi.core.plaidml.kernels())
]
class gapi_sample_pipelines(NewOpenCVTests):
# NB: This test check multiple outputs for operation
def test_mean_over_r(self):
img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')])
in_mat = cv.imread(img_path)
# # OpenCV
_, _, r_ch = cv.split(in_mat)
expected = cv.mean(r_ch)
# G-API
g_in = cv.GMat()
b, g, r = cv.gapi.split3(g_in)
g_out = cv.gapi.mean(r)
comp = cv.GComputation(g_in, g_out)
for pkg_name, pkg in pkgs:
actual = comp.apply(cv.gin(in_mat), args=cv.compile_args(pkg))
# Comparison
self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF),
'Failed on ' + pkg_name + ' backend')
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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