| # Copyright © 2020 Arm Ltd and Contributors. All rights reserved. | |
| # SPDX-License-Identifier: MIT | |
| import os | |
| import time | |
| import cv2 | |
| import numpy as np | |
| from context import cv_utils | |
| from context import utils | |
| from utils import Profiling | |
| def test_get_source_encoding(test_data_folder): | |
| video_file = os.path.join(test_data_folder, "Megamind.avi") | |
| video, video_writer, frame_count = cv_utils.init_video_file_capture(video_file, "/tmp") | |
| assert cv_utils.get_source_encoding_int(video) == 1145656920 | |
| def test_read_existing_labels_file(test_data_folder): | |
| label_file = os.path.join(test_data_folder, "labelmap.txt") | |
| labels_map = utils.dict_labels(label_file) | |
| assert labels_map is not None | |
| def test_preprocess(test_data_folder): | |
| content_image = "messi5.jpg" | |
| target_shape = (1, 256, 256, 3) | |
| padding = True | |
| image = cv2.imread(os.path.join(test_data_folder, content_image)) | |
| image = cv_utils.preprocess(image, np.float32, target_shape, True, padding) | |
| assert image.shape == target_shape | |
| def test_profiling(): | |
| profiler = Profiling(True) | |
| profiler.profiling_start() | |
| time.sleep(1) | |
| period = profiler.profiling_stop_and_print_us("Sleep for 1 second") | |
| assert (1_000_000 < period < 1_002_000) | |