| # Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| # SPDX-License-Identifier: MIT |
| |
| import os |
| import cv2 |
| import numpy as np |
| |
| from context import style_transfer |
| from context import cv_utils |
| |
| |
| def test_style_transfer_postprocess(test_data_folder): |
| content_image = "messi5.jpg" |
| target_shape = (1,256,256,3) |
| keep_aspect_ratio = False |
| image = cv2.imread(os.path.join(test_data_folder, content_image)) |
| original_shape = image.shape |
| preprocessed_image = cv_utils.preprocess(image, np.float32, target_shape, False, keep_aspect_ratio) |
| assert preprocessed_image.shape == target_shape |
| |
| postprocess_image = style_transfer.style_transfer_postprocess(preprocessed_image, original_shape) |
| assert postprocess_image.shape == original_shape |
| |
| |
| def test_style_transfer(test_data_folder): |
| style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite") |
| style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite") |
| backends = ["CpuAcc", "CpuRef"] |
| delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so") |
| image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg")) |
| |
| style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path, |
| image, backends, delegate_path) |
| |
| assert style_transfer_executor.get_style_predict_executor_shape() == (1, 256, 256, 3) |
| |
| def test_run_style_transfer(test_data_folder): |
| style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite") |
| style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite") |
| backends = ["CpuAcc", "CpuRef"] |
| delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so") |
| style_image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg")) |
| content_image = cv2.imread(os.path.join(test_data_folder, "basketball1.png")) |
| |
| style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path, |
| style_image, backends, delegate_path) |
| |
| stylized_image = style_transfer_executor.run_style_transfer(content_image) |
| assert stylized_image.shape == content_image.shape |
| |
| |
| def test_create_stylized_detection(test_data_folder): |
| style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite") |
| style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite") |
| backends = ["CpuAcc", "CpuRef"] |
| delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so") |
| |
| style_image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg")) |
| content_image = cv2.imread(os.path.join(test_data_folder, "basketball1.png")) |
| detections = [(0.0, [0.16745174, 0.15101701, 0.5371381, 0.74165875], 0.87597656)] |
| labels = {0: ('person', (50.888902345757494, 129.61878417939724, 207.2891028294508)), |
| 1: ('bicycle', (55.055339686943654, 55.828708219750574, 43.550389695374676)), |
| 2: ('car', (95.33096265662336, 194.872841553212, 218.58516479057758))} |
| style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path, |
| style_image, backends, delegate_path) |
| |
| stylized_image = style_transfer.create_stylized_detection(style_transfer_executor, 'person', content_image, |
| detections, 720, labels) |
| |
| assert stylized_image.shape == content_image.shape |