| # Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| # SPDX-License-Identifier: MIT |
| |
| import os |
| import ntpath |
| |
| import urllib.request |
| import zipfile |
| import pytest |
| |
| script_dir = os.path.dirname(__file__) |
| |
| |
| @pytest.fixture(scope="session") |
| def test_data_folder(): |
| """ |
| This fixture returns path to folder with shared test resources among all tests |
| """ |
| |
| data_dir = os.path.join(script_dir, "testdata") |
| if not os.path.exists(data_dir): |
| os.mkdir(data_dir) |
| |
| sys_arch = os.uname().machine |
| if sys_arch == "x86_64": |
| libarmnn_url = "https://github.com/ARM-software/armnn/releases/download/v21.11/ArmNN-linux-x86_64.tar.gz" |
| else: |
| libarmnn_url = "https://github.com/ARM-software/armnn/releases/download/v21.11/ArmNN-linux-aarch64.tar.gz" |
| |
| |
| files_to_download = ["https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/messi5.jpg", |
| "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/basketball1.png", |
| "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/Megamind.avi", |
| "https://github.com/ARM-software/ML-zoo/raw/master/models/object_detection/ssd_mobilenet_v1/tflite_uint8/ssd_mobilenet_v1.tflite", |
| "https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git/plain/resources/kws/samples/yes.wav", |
| "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-speech-sdk/master/sampledata/audiofiles/myVoiceIsMyPassportVerifyMe04.wav", |
| "https://tfhub.dev/google/lite-model/magenta/arbitrary-image-stylization-v1-256/int8/prediction/1?lite-format=tflite", |
| "https://tfhub.dev/google/lite-model/magenta/arbitrary-image-stylization-v1-256/int8/transfer/1?lite-format=tflite", |
| libarmnn_url |
| ] |
| |
| for file in files_to_download: |
| path, filename = ntpath.split(file) |
| if filename == '1?lite-format=tflite' and 'prediction' in file: |
| filename = 'style_predict.tflite' |
| elif filename == '1?lite-format=tflite' and 'transfer' in file: |
| filename = 'style_transfer.tflite' |
| file_path = os.path.join(data_dir, filename) |
| if not os.path.exists(file_path): |
| print("\nDownloading test file: " + file_path + "\n") |
| urllib.request.urlretrieve(file, file_path) |
| |
| path, filename = ntpath.split(libarmnn_url) |
| file_path = os.path.join(data_dir, filename) |
| os.system(f"tar -xvzf {file_path} -C {data_dir} ") |
| |
| return data_dir |