Merge pull request #18493 from TolyaTalamanov:at/wrap-streaming

[G-API Wrap streaming * Wrap streaming * Fix build * Add comments * Remove comment * Fix comments to review * Add test for python pull overload
2026-07-29 23:33:05 +04:00 · 2020-10-15 01:21:09 +03:00
parent 06a09d5991
commit 0d3e05f9b3
12 changed files with 274 additions and 11 deletions
@@ -0,0 +1,129 @@
+#!/usr/bin/env python
+
+import numpy as np
+import cv2 as cv
+import os
+
+from tests_common import NewOpenCVTests
+
+class test_gapi_streaming(NewOpenCVTests):
+
+    def test_image_input(self):
+        sz = (1280, 720)
+        in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
+
+        # OpenCV
+        expected = cv.medianBlur(in_mat, 3)
+
+        # G-API
+        g_in = cv.GMat()
+        g_out = cv.gapi.medianBlur(g_in, 3)
+        c = cv.GComputation(g_in, g_out)
+        ccomp = c.compileStreaming(cv.descr_of(cv.gin(in_mat)))
+        ccomp.setSource(cv.gin(in_mat))
+        ccomp.start()
+
+        _, actual = ccomp.pull()
+
+        # Assert
+        self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
+
+
+    def test_video_input(self):
+        ksize = 3
+        path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
+
+        # OpenCV
+        cap = cv.VideoCapture(path)
+
+        # G-API
+        g_in = cv.GMat()
+        g_out = cv.gapi.medianBlur(g_in, ksize)
+        c = cv.GComputation(g_in, g_out)
+
+        ccomp = c.compileStreaming()
+        source = cv.gapi.wip.make_capture_src(path)
+        ccomp.setSource(source)
+        ccomp.start()
+
+        # Assert
+        while cap.isOpened():
+            has_expected, expected = cap.read()
+            has_actual,   actual   = ccomp.pull()
+
+            self.assertEqual(has_expected, has_actual)
+
+            if not has_actual:
+                break
+
+            self.assertEqual(0.0, cv.norm(cv.medianBlur(expected, ksize), actual, cv.NORM_INF))
+
+
+    def test_video_split3(self):
+        path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
+
+        # OpenCV
+        cap = cv.VideoCapture(path)
+
+        # G-API
+        g_in = cv.GMat()
+        b, g, r = cv.gapi.split3(g_in)
+        c = cv.GComputation(cv.GIn(g_in), cv.GOut(b, g, r))
+
+        ccomp = c.compileStreaming()
+        source = cv.gapi.wip.make_capture_src(path)
+        ccomp.setSource(source)
+        ccomp.start()
+
+        # Assert
+        while cap.isOpened():
+            has_expected, frame = cap.read()
+            has_actual,   actual   = ccomp.pull()
+
+            self.assertEqual(has_expected, has_actual)
+
+            if not has_actual:
+                break
+
+            expected = cv.split(frame)
+            for e, a in zip(expected, actual):
+                self.assertEqual(0.0, cv.norm(e, a, cv.NORM_INF))
+
+
+    def test_video_add(self):
+        sz = (576, 768, 3)
+        in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
+
+        path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
+
+        # OpenCV
+        cap = cv.VideoCapture(path)
+
+        # G-API
+        g_in1 = cv.GMat()
+        g_in2 = cv.GMat()
+        out = cv.gapi.add(g_in1, g_in2)
+        c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(out))
+
+        ccomp = c.compileStreaming()
+        source = cv.gapi.wip.make_capture_src(path)
+        ccomp.setSource(cv.gin(source, in_mat))
+        ccomp.start()
+
+        # Assert
+        while cap.isOpened():
+            has_expected, frame  = cap.read()
+            has_actual,   actual = ccomp.pull()
+
+            self.assertEqual(has_expected, has_actual)
+
+            if not has_actual:
+                break
+
+            expected = cv.add(frame, in_mat)
+            self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
+
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()