chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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#!/usr/bin/env python
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import numpy as np
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import cv2 as cv
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import os
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import sys
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import unittest
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import time
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from tests_common import NewOpenCVTests
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try:
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if sys.version_info[:2] < (3, 0):
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raise unittest.SkipTest('Python 2.x is not supported')
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@cv.gapi.op('custom.delay', in_types=[cv.GMat], out_types=[cv.GMat])
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class GDelay:
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"""Delay for 50 ms."""
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@staticmethod
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def outMeta(desc):
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return desc
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@cv.gapi.kernel(GDelay)
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class GDelayImpl:
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"""Implementation for GDelay operation."""
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@staticmethod
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def run(img):
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time.sleep(0.05)
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return img
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def convertNV12p2BGR(in_nv12):
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shape = in_nv12.shape
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y_height = shape[0] // 3 * 2
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uv_shape = (shape[0] // 3, shape[1])
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new_uv_shape = (uv_shape[0], uv_shape[1] // 2, 2)
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return cv.cvtColorTwoPlane(in_nv12[:y_height, :],
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in_nv12[ y_height:, :].reshape(new_uv_shape),
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cv.COLOR_YUV2BGR_NV12)
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class test_gapi_streaming(NewOpenCVTests):
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def test_image_input(self):
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sz = (1280, 720)
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in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
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# OpenCV
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expected = cv.medianBlur(in_mat, 3)
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# G-API
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g_in = cv.GMat()
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g_out = cv.gapi.medianBlur(g_in, 3)
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c = cv.GComputation(g_in, g_out)
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ccomp = c.compileStreaming(cv.gapi.descr_of(in_mat))
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ccomp.setSource(cv.gin(in_mat))
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ccomp.start()
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_, actual = ccomp.pull()
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# Assert
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self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
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def test_video_input(self):
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ksize = 3
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# OpenCV
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cap = cv.VideoCapture(path)
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# G-API
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g_in = cv.GMat()
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g_out = cv.gapi.medianBlur(g_in, ksize)
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c = cv.GComputation(g_in, g_out)
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ccomp = c.compileStreaming()
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# Assert
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max_num_frames = 10
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proc_num_frames = 0
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while cap.isOpened():
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has_expected, expected = cap.read()
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has_actual, actual = ccomp.pull()
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self.assertEqual(has_expected, has_actual)
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if not has_actual:
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break
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self.assertEqual(0.0, cv.norm(cv.medianBlur(expected, ksize), actual, cv.NORM_INF))
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proc_num_frames += 1
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if proc_num_frames == max_num_frames:
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break
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def test_video_split3(self):
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# OpenCV
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cap = cv.VideoCapture(path)
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# G-API
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g_in = cv.GMat()
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b, g, r = cv.gapi.split3(g_in)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(b, g, r))
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ccomp = c.compileStreaming()
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# Assert
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max_num_frames = 10
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proc_num_frames = 0
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while cap.isOpened():
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has_expected, frame = cap.read()
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has_actual, actual = ccomp.pull()
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self.assertEqual(has_expected, has_actual)
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if not has_actual:
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break
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expected = cv.split(frame)
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for e, a in zip(expected, actual):
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self.assertEqual(0.0, cv.norm(e, a, cv.NORM_INF))
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proc_num_frames += 1
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if proc_num_frames == max_num_frames:
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break
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def test_video_add(self):
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sz = (576, 768, 3)
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in_mat = np.random.randint(0, 100, sz).astype(np.uint8)
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# OpenCV
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cap = cv.VideoCapture(path)
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# G-API
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g_in1 = cv.GMat()
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g_in2 = cv.GMat()
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out = cv.gapi.add(g_in1, g_in2)
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c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(out))
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ccomp = c.compileStreaming()
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source, in_mat))
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ccomp.start()
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# Assert
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max_num_frames = 10
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proc_num_frames = 0
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while cap.isOpened():
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has_expected, frame = cap.read()
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has_actual, actual = ccomp.pull()
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self.assertEqual(has_expected, has_actual)
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if not has_actual:
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break
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expected = cv.add(frame, in_mat)
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self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
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proc_num_frames += 1
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if proc_num_frames == max_num_frames:
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break
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def test_video_good_features_to_track(self):
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# NB: goodFeaturesToTrack configuration
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max_corners = 50
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quality_lvl = 0.01
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min_distance = 10
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block_sz = 3
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use_harris_detector = True
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k = 0.04
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mask = None
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# OpenCV
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cap = cv.VideoCapture(path)
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# G-API
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g_in = cv.GMat()
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g_gray = cv.gapi.RGB2Gray(g_in)
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g_out = cv.gapi.goodFeaturesToTrack(g_gray, max_corners, quality_lvl,
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min_distance, mask, block_sz, use_harris_detector, k)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
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ccomp = c.compileStreaming()
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# Assert
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max_num_frames = 10
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proc_num_frames = 0
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while cap.isOpened():
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has_expected, frame = cap.read()
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has_actual, actual = ccomp.pull()
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self.assertEqual(has_expected, has_actual)
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if not has_actual:
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break
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# OpenCV
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frame = cv.cvtColor(frame, cv.COLOR_RGB2GRAY)
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expected = cv.goodFeaturesToTrack(frame, max_corners, quality_lvl,
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min_distance, mask=mask,
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blockSize=block_sz, useHarrisDetector=use_harris_detector, k=k)
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for e, a in zip(expected, actual):
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# NB: OpenCV & G-API have different output shapes:
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# OpenCV - (num_points, 1, 2)
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# G-API - (num_points, 2)
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self.assertEqual(0.0, cv.norm(e.flatten(),
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np.array(a, np.float32).flatten(),
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cv.NORM_INF))
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proc_num_frames += 1
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if proc_num_frames == max_num_frames:
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break
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def test_gapi_streaming_meta(self):
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# G-API
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g_in = cv.GMat()
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g_ts = cv.gapi.streaming.timestamp(g_in)
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g_seqno = cv.gapi.streaming.seqNo(g_in)
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g_seqid = cv.gapi.streaming.seq_id(g_in)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(g_ts, g_seqno, g_seqid))
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ccomp = c.compileStreaming()
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# Assert
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max_num_frames = 10
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curr_frame_number = 0
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while True:
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has_frame, (ts, seqno, seqid) = ccomp.pull()
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if not has_frame:
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break
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self.assertEqual(curr_frame_number, seqno)
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self.assertEqual(curr_frame_number, seqid)
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curr_frame_number += 1
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if curr_frame_number == max_num_frames:
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break
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def test_desync(self):
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path = self.find_file('cv/video/768x576.avi', [os.environ['OPENCV_TEST_DATA_PATH']])
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# G-API
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g_in = cv.GMat()
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g_out1 = cv.gapi.copy(g_in)
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des = cv.gapi.streaming.desync(g_in)
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g_out2 = GDelay.on(des)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out1, g_out2))
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kernels = cv.gapi.kernels(GDelayImpl)
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ccomp = c.compileStreaming(args=cv.gapi.compile_args(kernels))
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source = cv.gapi.wip.make_capture_src(path)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# Assert
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max_num_frames = 50
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out_counter = 0
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desync_out_counter = 0
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none_counter = 0
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while True:
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has_frame, (out1, out2) = ccomp.pull()
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if not has_frame:
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break
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if not out1 is None:
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out_counter += 1
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if not out2 is None:
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desync_out_counter += 1
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else:
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none_counter += 1
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if out_counter == max_num_frames:
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ccomp.stop()
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break
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self.assertLess(0, out_counter)
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self.assertLess(desync_out_counter, out_counter)
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self.assertLess(0, none_counter)
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def test_compile_streaming_empty(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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comp.compileStreaming()
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def test_compile_streaming_args(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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comp.compileStreaming(cv.gapi.compile_args(cv.gapi.streaming.queue_capacity(1)))
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def test_compile_streaming_descr_of(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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img = np.zeros((3,300,300), dtype=np.float32)
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comp.compileStreaming(cv.gapi.descr_of(img))
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def test_compile_streaming_descr_of_and_args(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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img = np.zeros((3,300,300), dtype=np.float32)
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comp.compileStreaming(cv.gapi.descr_of(img),
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cv.gapi.compile_args(cv.gapi.streaming.queue_capacity(1)))
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def test_compile_streaming_meta(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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img = np.zeros((3,300,300), dtype=np.float32)
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comp.compileStreaming([cv.GMatDesc(cv.CV_8U, 3, (300, 300))])
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def test_compile_streaming_meta_and_args(self):
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g_in = cv.GMat()
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comp = cv.GComputation(g_in, cv.gapi.medianBlur(g_in, 3))
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img = np.zeros((3,300,300), dtype=np.float32)
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comp.compileStreaming([cv.GMatDesc(cv.CV_8U, 3, (300, 300))],
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cv.gapi.compile_args(cv.gapi.streaming.queue_capacity(1)))
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def get_gst_source(self, gstpipeline):
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# NB: Skip test in case gstreamer isn't available.
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try:
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return cv.gapi.wip.make_gst_src(gstpipeline)
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except cv.error as e:
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if str(e).find('Built without GStreamer support!') == -1:
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raise e
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else:
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raise unittest.SkipTest(str(e))
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def test_gst_source(self):
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if not cv.videoio_registry.hasBackend(cv.CAP_GSTREAMER):
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raise unittest.SkipTest("Backend is not available/disabled: GSTREAMER")
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gstpipeline = """videotestsrc is-live=true pattern=colors num-buffers=10 !
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videorate ! videoscale ! video/x-raw,width=1920,height=1080,
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framerate=30/1 ! appsink"""
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g_in = cv.GMat()
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g_out = cv.gapi.copy(g_in)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
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ccomp = c.compileStreaming()
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source = self.get_gst_source(gstpipeline)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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has_frame, output = ccomp.pull()
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while has_frame:
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self.assertTrue(output.size != 0)
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has_frame, output = ccomp.pull()
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def open_VideoCapture_gstreamer(self, gstpipeline):
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try:
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cap = cv.VideoCapture(gstpipeline, cv.CAP_GSTREAMER)
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except Exception as e:
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raise unittest.SkipTest("Backend GSTREAMER can't open the video; " +
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"cause: " + str(e))
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if not cap.isOpened():
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raise unittest.SkipTest("Backend GSTREAMER can't open the video")
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return cap
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def test_gst_source_accuracy(self):
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if not cv.videoio_registry.hasBackend(cv.CAP_GSTREAMER):
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raise unittest.SkipTest("Backend is not available/disabled: GSTREAMER")
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path = self.find_file('highgui/video/big_buck_bunny.avi',
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[os.environ['OPENCV_TEST_DATA_PATH']])
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gstpipeline = """filesrc location=""" + path + """ ! decodebin ! videoconvert !
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videoscale ! video/x-raw,format=NV12 ! appsink"""
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# G-API pipeline
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g_in = cv.GMat()
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g_out = cv.gapi.copy(g_in)
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c = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
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ccomp = c.compileStreaming()
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# G-API Gst-source
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source = self.get_gst_source(gstpipeline)
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ccomp.setSource(cv.gin(source))
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ccomp.start()
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# OpenCV Gst-source
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cap = self.open_VideoCapture_gstreamer(gstpipeline)
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# Assert
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max_num_frames = 10
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for _ in range(max_num_frames):
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has_expected, expected = cap.read()
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has_actual, actual = ccomp.pull()
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self.assertEqual(has_expected, has_actual)
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if not has_expected:
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break
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self.assertEqual(0.0, cv.norm(convertNV12p2BGR(expected), actual, cv.NORM_INF))
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def get_gst_pipeline(self, gstpipeline):
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# NB: Skip test in case gstreamer isn't available.
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try:
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return cv.gapi.wip.GStreamerPipeline(gstpipeline)
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except cv.error as e:
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if str(e).find('Built without GStreamer support!') == -1:
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raise e
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else:
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raise unittest.SkipTest(str(e))
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except SystemError as e:
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raise unittest.SkipTest(str(e) + ", caused by " + str(e.__cause__))
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def test_gst_multiple_sources(self):
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if not cv.videoio_registry.hasBackend(cv.CAP_GSTREAMER):
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raise unittest.SkipTest("Backend is not available/disabled: GSTREAMER")
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gstpipeline = """videotestsrc is-live=true pattern=colors num-buffers=10 !
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videorate ! videoscale !
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video/x-raw,width=1920,height=1080,framerate=30/1 !
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appsink name=sink1
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videotestsrc is-live=true pattern=colors num-buffers=10 !
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videorate ! videoscale !
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video/x-raw,width=1920,height=1080,framerate=30/1 !
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appsink name=sink2"""
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g_in1 = cv.GMat()
|
||||
g_in2 = cv.GMat()
|
||||
g_out = cv.gapi.add(g_in1, g_in2)
|
||||
c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(g_out))
|
||||
|
||||
ccomp = c.compileStreaming()
|
||||
|
||||
pp = self.get_gst_pipeline(gstpipeline)
|
||||
src1 = cv.gapi.wip.get_streaming_source(pp, "sink1")
|
||||
src2 = cv.gapi.wip.get_streaming_source(pp, "sink2")
|
||||
|
||||
ccomp.setSource(cv.gin(src1, src2))
|
||||
ccomp.start()
|
||||
|
||||
has_frame, out = ccomp.pull()
|
||||
while has_frame:
|
||||
self.assertTrue(out.size != 0)
|
||||
has_frame, out = ccomp.pull()
|
||||
|
||||
|
||||
def test_gst_multiple_sources_accuracy(self):
|
||||
if not cv.videoio_registry.hasBackend(cv.CAP_GSTREAMER):
|
||||
raise unittest.SkipTest("Backend is not available/disabled: GSTREAMER")
|
||||
|
||||
path = self.find_file('highgui/video/big_buck_bunny.avi',
|
||||
[os.environ['OPENCV_TEST_DATA_PATH']])
|
||||
gstpipeline1 = """filesrc location=""" + path + """ ! decodebin ! videoconvert !
|
||||
videoscale ! video/x-raw,format=NV12 ! appsink"""
|
||||
gstpipeline2 = """filesrc location=""" + path + """ ! decodebin !
|
||||
videoflip method=clockwise ! videoconvert ! videoscale !
|
||||
video/x-raw,format=NV12 ! appsink"""
|
||||
gstpipeline_gapi = gstpipeline1 + ' name=sink1 ' + gstpipeline2 + ' name=sink2'
|
||||
|
||||
# G-API pipeline
|
||||
g_in1 = cv.GMat()
|
||||
g_in2 = cv.GMat()
|
||||
g_out1 = cv.gapi.copy(g_in1)
|
||||
g_out2 = cv.gapi.copy(g_in2)
|
||||
c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(g_out1, g_out2))
|
||||
|
||||
ccomp = c.compileStreaming()
|
||||
|
||||
# G-API Gst-source
|
||||
pp = self.get_gst_pipeline(gstpipeline_gapi)
|
||||
|
||||
src1 = cv.gapi.wip.get_streaming_source(pp, "sink1")
|
||||
src2 = cv.gapi.wip.get_streaming_source(pp, "sink2")
|
||||
ccomp.setSource(cv.gin(src1, src2))
|
||||
ccomp.start()
|
||||
|
||||
# OpenCV Gst-source
|
||||
cap1 = self.open_VideoCapture_gstreamer(gstpipeline1)
|
||||
cap2 = self.open_VideoCapture_gstreamer(gstpipeline2)
|
||||
|
||||
# Assert
|
||||
max_num_frames = 10
|
||||
for _ in range(max_num_frames):
|
||||
has_expected1, expected1 = cap1.read()
|
||||
has_expected2, expected2 = cap2.read()
|
||||
has_actual, (actual1, actual2) = ccomp.pull()
|
||||
|
||||
self.assertEqual(has_expected1, has_expected2)
|
||||
has_expected = has_expected1 and has_expected2
|
||||
self.assertEqual(has_expected, has_actual)
|
||||
|
||||
if not has_expected:
|
||||
break
|
||||
|
||||
self.assertEqual(0.0, cv.norm(convertNV12p2BGR(expected1), actual1, cv.NORM_INF))
|
||||
self.assertEqual(0.0, cv.norm(convertNV12p2BGR(expected2), actual2, cv.NORM_INF))
|
||||
|
||||
def test_python_custom_stream_source(self):
|
||||
class MySource:
|
||||
def __init__(self):
|
||||
self.count = 0
|
||||
|
||||
def pull(self):
|
||||
if self.count >= 3:
|
||||
return None
|
||||
self.count += 1
|
||||
return np.ones((10, 10, 3), np.uint8) * self.count
|
||||
|
||||
def descr_of(self):
|
||||
return np.zeros((10, 10, 3), np.uint8)
|
||||
|
||||
g_in = cv.GMat()
|
||||
g_out = cv.gapi.copy(g_in)
|
||||
c = cv.GComputation(g_in, g_out)
|
||||
|
||||
comp = c.compileStreaming()
|
||||
|
||||
src = cv.gapi.wip.make_py_src(MySource())
|
||||
comp.setSource([src])
|
||||
comp.start()
|
||||
|
||||
frames = []
|
||||
while True:
|
||||
has_frame, frame = comp.pull()
|
||||
if not has_frame:
|
||||
break
|
||||
frames.append(frame)
|
||||
|
||||
self.assertEqual(len(frames), 3)
|
||||
|
||||
except unittest.SkipTest as e:
|
||||
|
||||
message = str(e)
|
||||
|
||||
class TestSkip(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.skipTest('Skip tests: ' + message)
|
||||
|
||||
def test_skip():
|
||||
pass
|
||||
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
NewOpenCVTests.bootstrap()
|
||||
Reference in New Issue
Block a user