mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
79 lines
2.7 KiB
79 lines
2.7 KiB
#!/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_imgproc_test(NewOpenCVTests): |
|
|
|
def test_good_features_to_track(self): |
|
# TODO: Extend to use any type and size here |
|
img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) |
|
in1 = cv.cvtColor(cv.imread(img_path), cv.COLOR_RGB2GRAY) |
|
|
|
# NB: goodFeaturesToTrack configuration |
|
max_corners = 50 |
|
quality_lvl = 0.01 |
|
min_distance = 10 |
|
block_sz = 3 |
|
use_harris_detector = True |
|
k = 0.04 |
|
mask = None |
|
|
|
# OpenCV |
|
expected = cv.goodFeaturesToTrack(in1, max_corners, quality_lvl, |
|
min_distance, mask=mask, |
|
blockSize=block_sz, useHarrisDetector=use_harris_detector, k=k) |
|
|
|
# G-API |
|
g_in = cv.GMat() |
|
g_out = cv.gapi.goodFeaturesToTrack(g_in, max_corners, quality_lvl, |
|
min_distance, mask, block_sz, use_harris_detector, k) |
|
|
|
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out)) |
|
|
|
for pkg_name, pkg in pkgs: |
|
actual = comp.apply(cv.gin(in1), args=cv.compile_args(pkg)) |
|
# NB: OpenCV & G-API have different output shapes: |
|
# OpenCV - (num_points, 1, 2) |
|
# G-API - (num_points, 2) |
|
# Comparison |
|
self.assertEqual(0.0, cv.norm(expected.flatten(), actual.flatten(), cv.NORM_INF), |
|
'Failed on ' + pkg_name + ' backend') |
|
|
|
|
|
def test_rgb2gray(self): |
|
# TODO: Extend to use any type and size here |
|
img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) |
|
in1 = cv.imread(img_path) |
|
|
|
# OpenCV |
|
expected = cv.cvtColor(in1, cv.COLOR_RGB2GRAY) |
|
|
|
# G-API |
|
g_in = cv.GMat() |
|
g_out = cv.gapi.RGB2Gray(g_in) |
|
|
|
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out)) |
|
|
|
for pkg_name, pkg in pkgs: |
|
actual = comp.apply(cv.gin(in1), 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()
|
|
|