| # 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) |
| |