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Open Source Computer Vision Library
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559 lines
19 KiB
559 lines
19 KiB
#!/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() |
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g_in2 = cv.GMat() |
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g_out = cv.gapi.add(g_in1, g_in2) |
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c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(g_out)) |
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ccomp = c.compileStreaming() |
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pp = self.get_gst_pipeline(gstpipeline) |
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src1 = cv.gapi.wip.get_streaming_source(pp, "sink1") |
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src2 = cv.gapi.wip.get_streaming_source(pp, "sink2") |
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ccomp.setSource(cv.gin(src1, src2)) |
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ccomp.start() |
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has_frame, out = ccomp.pull() |
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while has_frame: |
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self.assertTrue(out.size != 0) |
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has_frame, out = ccomp.pull() |
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def test_gst_multiple_sources_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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gstpipeline1 = """filesrc location=""" + path + """ ! decodebin ! videoconvert ! |
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videoscale ! video/x-raw,format=NV12 ! appsink""" |
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gstpipeline2 = """filesrc location=""" + path + """ ! decodebin ! |
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videoflip method=clockwise ! videoconvert ! videoscale ! |
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video/x-raw,format=NV12 ! appsink""" |
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gstpipeline_gapi = gstpipeline1 + ' name=sink1 ' + gstpipeline2 + ' name=sink2' |
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# G-API pipeline |
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g_in1 = cv.GMat() |
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g_in2 = cv.GMat() |
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g_out1 = cv.gapi.copy(g_in1) |
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g_out2 = cv.gapi.copy(g_in2) |
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c = cv.GComputation(cv.GIn(g_in1, g_in2), cv.GOut(g_out1, g_out2)) |
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ccomp = c.compileStreaming() |
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# G-API Gst-source |
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pp = self.get_gst_pipeline(gstpipeline_gapi) |
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src1 = cv.gapi.wip.get_streaming_source(pp, "sink1") |
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src2 = cv.gapi.wip.get_streaming_source(pp, "sink2") |
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ccomp.setSource(cv.gin(src1, src2)) |
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ccomp.start() |
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# OpenCV Gst-source |
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cap1 = self.open_VideoCapture_gstreamer(gstpipeline1) |
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cap2 = self.open_VideoCapture_gstreamer(gstpipeline2) |
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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_expected1, expected1 = cap1.read() |
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has_expected2, expected2 = cap2.read() |
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has_actual, (actual1, actual2) = ccomp.pull() |
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self.assertEqual(has_expected1, has_expected2) |
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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)) |
|
|
|
|
|
|
|
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()
|
|
|