Merge pull request #18762 from TolyaTalamanov:at/support-garray

[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

modules/gapi/misc/python/test/test_gapi_sample_pipelines.py

@@ -2,25 +2,26 @@
 
 import numpy as np
 import cv2 as cv
+import os
 
 from tests_common import NewOpenCVTests
 
 
 # Plaidml is an optional backend
 pkgs = [
-         cv.gapi.core.ocl.kernels(),
-         cv.gapi.core.cpu.kernels(),
-         cv.gapi.core.fluid.kernels()
-         # cv.gapi.core.plaidml.kernels()
-       ]
+         ('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):
-        sz = (100, 100, 3)
-        in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
+        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)
@@ -32,10 +33,11 @@ class gapi_sample_pipelines(NewOpenCVTests):
         g_out = cv.gapi.mean(r)
         comp = cv.GComputation(g_in, g_out)
 
-        for pkg in pkgs:
+        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))
+            self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF),
+                             'Failed on ' + pkg_name + ' backend')
 
 
 if __name__ == '__main__':