mirror of
https://github.com/opencv/opencv.git
synced 2026-07-26 05:43:05 +04:00
Anatoliy Talamanov
7521f207b1
[G-API] Wrap GArray * Wrap GArray for output * Collect in/out info in graph * Add imgproc tests * Add cv::Point2f * Update test_gapi_imgproc.py * Fix comments to review
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
#!/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()
|