mirror of
https://github.com/opencv/opencv.git
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326 lines
9.7 KiB
Python
326 lines
9.7 KiB
Python
#!/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 10 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(0.01)
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return img
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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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ksize = 3
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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 = 10
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proc_num_frames = 0
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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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proc_num_frames += 1
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if proc_num_frames == max_num_frames:
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ccomp.stop()
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break
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self.assertLess(0, proc_num_frames)
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self.assertLess(desync_out_counter, out_counter)
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self.assertLess(0, none_counter)
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except unittest.SkipTest as e:
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message = str(e)
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class TestSkip(unittest.TestCase):
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def setUp(self):
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self.skipTest('Skip tests: ' + message)
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def test_skip():
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pass
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pass
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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