blob: 5e027a0125361e74179f463c521ab63839456138 [file] [log] [blame]
Éanna Ó Catháin145c88f2020-11-16 14:12:11 +00001# Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
2# SPDX-License-Identifier: MIT
3
4import os
5import ntpath
6
7import urllib.request
8import zipfile
9
10import pytest
11
12script_dir = os.path.dirname(__file__)
13@pytest.fixture(scope="session")
14def test_data_folder(request):
15 """
16 This fixture returns path to folder with shared test resources among all tests
17 """
18
19 data_dir = os.path.join(script_dir, "testdata")
20 if not os.path.exists(data_dir):
21 os.mkdir(data_dir)
22
23 files_to_download = ["https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/messi5.jpg",
24 "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/basketball1.png",
25 "https://raw.githubusercontent.com/opencv/opencv/4.0.0/samples/data/Megamind.avi",
26 "https://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip"
27 ]
28
29 for file in files_to_download:
30 path, filename = ntpath.split(file)
31 file_path = os.path.join(data_dir, filename)
32 if not os.path.exists(file_path):
33 print("\nDownloading test file: " + file_path + "\n")
34 urllib.request.urlretrieve(file, file_path)
35
36 # Any unzipping needed, and moving around of files
37 with zipfile.ZipFile(os.path.join(data_dir, "coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip"), 'r') as zip_ref:
38 zip_ref.extractall(data_dir)
39
40 return data_dir