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# coding=utf-8 | |
# Copyright 2023 HuggingFace Inc. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import unittest | |
from pathlib import Path | |
from transformers import is_vision_available, load_tool | |
from transformers.testing_utils import get_tests_dir | |
from .test_tools_common import ToolTesterMixin | |
if is_vision_available(): | |
from PIL import Image | |
class ImageSegmentationToolTester(unittest.TestCase, ToolTesterMixin): | |
def setUp(self): | |
self.tool = load_tool("image-segmentation") | |
self.tool.setup() | |
self.remote_tool = load_tool("image-segmentation", remote=True) | |
def test_exact_match_arg(self): | |
image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png") | |
result = self.tool(image, "cat") | |
self.assertTrue(isinstance(result, Image.Image)) | |
def test_exact_match_arg_remote(self): | |
image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png") | |
result = self.remote_tool(image, "cat") | |
self.assertTrue(isinstance(result, Image.Image)) | |
def test_exact_match_kwarg(self): | |
image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png") | |
result = self.tool(image=image, label="cat") | |
self.assertTrue(isinstance(result, Image.Image)) | |
def test_exact_match_kwarg_remote(self): | |
image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png") | |
result = self.remote_tool(image=image, label="cat") | |
self.assertTrue(isinstance(result, Image.Image)) | |