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# Copyright © 2020 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(request):
"""
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)
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://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip"
]
for file in files_to_download:
path, filename = ntpath.split(file)
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)
# Any unzipping needed, and moving around of files
with zipfile.ZipFile(os.path.join(data_dir, "coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip"), 'r') as zip_ref:
zip_ref.extractall(data_dir)
return data_dir
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