1# Copyright © 2021 Arm Ltd and Contributors. All rights reserved. 2# SPDX-License-Identifier: MIT 3 4import os 5import ntpath 6 7import urllib.request 8import zipfile 9import pytest 10 11script_dir = os.path.dirname(__file__) 12 13 14@pytest.fixture(scope="session") 15def test_data_folder(): 16 """ 17 This fixture returns path to folder with shared test resources among all tests 18 """ 19 20 data_dir = os.path.join(script_dir, "testdata") 21 if not os.path.exists(data_dir): 22 os.mkdir(data_dir) 23 24 sys_arch = os.uname().machine 25 if sys_arch == "x86_64": 26 libarmnn_url = "https://github.com/ARM-software/armnn/releases/download/v21.11/ArmNN-linux-x86_64.tar.gz" 27 else: 28 libarmnn_url = "https://github.com/ARM-software/armnn/releases/download/v21.11/ArmNN-linux-aarch64.tar.gz" 29 30 31 files_to_download = ["https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/messi5.jpg", 32 "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/basketball1.png", 33 "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/Megamind.avi", 34 "https://github.com/ARM-software/ML-zoo/raw/master/models/object_detection/ssd_mobilenet_v1/tflite_uint8/ssd_mobilenet_v1.tflite", 35 "https://git.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit.git/plain/resources/kws/samples/yes.wav", 36 "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-speech-sdk/master/sampledata/audiofiles/myVoiceIsMyPassportVerifyMe04.wav", 37 "https://tfhub.dev/google/lite-model/magenta/arbitrary-image-stylization-v1-256/int8/prediction/1?lite-format=tflite", 38 "https://tfhub.dev/google/lite-model/magenta/arbitrary-image-stylization-v1-256/int8/transfer/1?lite-format=tflite", 39 libarmnn_url 40 ] 41 42 for file in files_to_download: 43 path, filename = ntpath.split(file) 44 if filename == '1?lite-format=tflite' and 'prediction' in file: 45 filename = 'style_predict.tflite' 46 elif filename == '1?lite-format=tflite' and 'transfer' in file: 47 filename = 'style_transfer.tflite' 48 file_path = os.path.join(data_dir, filename) 49 if not os.path.exists(file_path): 50 print("\nDownloading test file: " + file_path + "\n") 51 urllib.request.urlretrieve(file, file_path) 52 53 path, filename = ntpath.split(libarmnn_url) 54 file_path = os.path.join(data_dir, filename) 55 os.system(f"tar -xvzf {file_path} -C {data_dir} ") 56 57 return data_dir 58
