Removed unit tests

This commit is contained in:
kinaryml 2023-03-22 21:47:38 -07:00
parent da70497f35
commit c0320b556c

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@ -1,116 +0,0 @@
# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# 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.
"""Tests for face stylizer."""
import enum
import os
from unittest import mock
import numpy as np
from absl.testing import absltest
from absl.testing import parameterized
from mediapipe.python._framework_bindings import image as image_module
from mediapipe.tasks.python.core import base_options as base_options_module
from mediapipe.tasks.python.test import test_utils
from mediapipe.tasks.python.vision import face_stylizer
from mediapipe.tasks.python.vision.core import vision_task_running_mode as running_mode_module
from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module
_BaseOptions = base_options_module.BaseOptions
_Image = image_module.Image
_FaceStylizer = face_stylizer.FaceStylizer
_FaceStylizerOptions = face_stylizer.FaceStylizerOptions
_RUNNING_MODE = running_mode_module.VisionTaskRunningMode
_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
_MODEL = 'face_stylization_dummy.tflite'
_IMAGE = 'cats_and_dogs.jpg'
_STYLIZED_IMAGE = 'stylized_image_placeholder.jpg'
_TEST_DATA_DIR = 'mediapipe/tasks/testdata/vision'
class ModelFileType(enum.Enum):
FILE_CONTENT = 1
FILE_NAME = 2
class FaceStylizerTest(parameterized.TestCase):
def setUp(self):
super().setUp()
self.test_image = _Image.create_from_file(
test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, _IMAGE)))
self.model_path = test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, _MODEL))
def test_create_from_file_succeeds_with_valid_model_path(self):
# Creates with default option and valid model file successfully.
with _FaceStylizer.create_from_model_path(self.model_path) as stylizer:
self.assertIsInstance(stylizer, _FaceStylizer)
def test_create_from_options_succeeds_with_valid_model_path(self):
# Creates with options containing model file successfully.
base_options = _BaseOptions(model_asset_path=self.model_path)
options = _FaceStylizerOptions(base_options=base_options)
with _FaceStylizer.create_from_options(options) as stylizer:
self.assertIsInstance(stylizer, _FaceStylizer)
def test_create_from_options_fails_with_invalid_model_path(self):
with self.assertRaisesRegex(
RuntimeError, 'Unable to open file at /path/to/invalid/model.tflite'):
base_options = _BaseOptions(
model_asset_path='/path/to/invalid/model.tflite')
options = _FaceStylizerOptions(base_options=base_options)
_FaceStylizer.create_from_options(options)
def test_create_from_options_succeeds_with_valid_model_content(self):
# Creates with options containing model content successfully.
with open(self.model_path, 'rb') as f:
base_options = _BaseOptions(model_asset_buffer=f.read())
options = _FaceStylizerOptions(base_options=base_options)
stylizer = _FaceStylizer.create_from_options(options)
self.assertIsInstance(stylizer, _FaceStylizer)
@parameterized.parameters(
(ModelFileType.FILE_NAME, _STYLIZED_IMAGE),
(ModelFileType.FILE_CONTENT, _STYLIZED_IMAGE))
def test_stylize(self, model_file_type, expected_detection_result_file):
# Creates stylizer.
if model_file_type is ModelFileType.FILE_NAME:
base_options = _BaseOptions(model_asset_path=self.model_path)
elif model_file_type is ModelFileType.FILE_CONTENT:
with open(self.model_path, 'rb') as f:
model_content = f.read()
base_options = _BaseOptions(model_asset_buffer=model_content)
else:
# Should never happen
raise ValueError('model_file_type is invalid.')
options = _FaceStylizerOptions(base_options=base_options)
stylizer = _FaceStylizer.create_from_options(options)
# Performs face stylization on the input.
stylized_image = stylizer.stylize(self.test_image)
# Comparing results.
# TODO:
# Closes the stylizer explicitly when the stylizer is not used in
# a context.
stylizer.close()
if __name__ == '__main__':
absltest.main()