Merge pull request #4814 from kinaryml:face-stylizer-adding-unit-tests-to-api
PiperOrigin-RevId: 575895855
This commit is contained in:
commit
a39df33664
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@ -211,3 +211,20 @@ py_test(
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"//mediapipe/tasks/python/vision/core:image_processing_options",
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],
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)
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py_test(
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name = "face_stylizer_test",
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srcs = ["face_stylizer_test.py"],
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data = [
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"//mediapipe/tasks/testdata/vision:test_images",
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"//mediapipe/tasks/testdata/vision:test_models",
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],
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deps = [
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"//mediapipe/python:_framework_bindings",
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"//mediapipe/tasks/python/components/containers:rect",
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"//mediapipe/tasks/python/core:base_options",
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"//mediapipe/tasks/python/test:test_utils",
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"//mediapipe/tasks/python/vision:face_stylizer",
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"//mediapipe/tasks/python/vision/core:image_processing_options",
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],
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)
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191
mediapipe/tasks/python/test/vision/face_stylizer_test.py
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191
mediapipe/tasks/python/test/vision/face_stylizer_test.py
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@ -0,0 +1,191 @@
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# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for face stylizer."""
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import enum
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import os
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from absl.testing import absltest
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from absl.testing import parameterized
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from mediapipe.python._framework_bindings import image as image_module
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from mediapipe.tasks.python.components.containers import rect
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from mediapipe.tasks.python.core import base_options as base_options_module
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from mediapipe.tasks.python.test import test_utils
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from mediapipe.tasks.python.vision import face_stylizer
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from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module
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_BaseOptions = base_options_module.BaseOptions
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_Rect = rect.Rect
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_Image = image_module.Image
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_FaceStylizer = face_stylizer.FaceStylizer
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_FaceStylizerOptions = face_stylizer.FaceStylizerOptions
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_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
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_MODEL = 'face_stylizer_color_ink.task'
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_LARGE_FACE_IMAGE = 'portrait.jpg'
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_MODEL_IMAGE_SIZE = 256
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_TEST_DATA_DIR = 'mediapipe/tasks/testdata/vision'
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class ModelFileType(enum.Enum):
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FILE_CONTENT = 1
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FILE_NAME = 2
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class FaceStylizerTest(parameterized.TestCase):
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def setUp(self):
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super().setUp()
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self.test_image = _Image.create_from_file(
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test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
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)
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)
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self.model_path = test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, _MODEL)
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)
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def test_create_from_file_succeeds_with_valid_model_path(self):
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# Creates with default option and valid model file successfully.
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with _FaceStylizer.create_from_model_path(self.model_path) as stylizer:
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self.assertIsInstance(stylizer, _FaceStylizer)
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def test_create_from_options_succeeds_with_valid_model_path(self):
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# Creates with options containing model file successfully.
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base_options = _BaseOptions(model_asset_path=self.model_path)
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options = _FaceStylizerOptions(base_options=base_options)
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with _FaceStylizer.create_from_options(options) as stylizer:
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self.assertIsInstance(stylizer, _FaceStylizer)
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def test_create_from_options_fails_with_invalid_model_path(self):
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with self.assertRaisesRegex(
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RuntimeError, 'Unable to open file at /path/to/invalid/model.tflite'
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):
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base_options = _BaseOptions(
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model_asset_path='/path/to/invalid/model.tflite'
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)
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options = _FaceStylizerOptions(base_options=base_options)
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_FaceStylizer.create_from_options(options)
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def test_create_from_options_succeeds_with_valid_model_content(self):
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# Creates with options containing model content successfully.
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with open(self.model_path, 'rb') as f:
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base_options = _BaseOptions(model_asset_buffer=f.read())
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options = _FaceStylizerOptions(base_options=base_options)
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stylizer = _FaceStylizer.create_from_options(options)
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self.assertIsInstance(stylizer, _FaceStylizer)
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@parameterized.parameters(
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(ModelFileType.FILE_NAME, _LARGE_FACE_IMAGE),
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(ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
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)
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def test_stylize(self, model_file_type, image_file_name):
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# Load the test image.
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self.test_image = _Image.create_from_file(
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test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, image_file_name)
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)
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)
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# Creates stylizer.
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if model_file_type is ModelFileType.FILE_NAME:
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base_options = _BaseOptions(model_asset_path=self.model_path)
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elif model_file_type is ModelFileType.FILE_CONTENT:
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with open(self.model_path, 'rb') as f:
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model_content = f.read()
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base_options = _BaseOptions(model_asset_buffer=model_content)
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else:
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# Should never happen
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raise ValueError('model_file_type is invalid.')
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options = _FaceStylizerOptions(base_options=base_options)
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stylizer = _FaceStylizer.create_from_options(options)
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# Performs face stylization on the input.
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stylized_image = stylizer.stylize(self.test_image)
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self.assertIsInstance(stylized_image, _Image)
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# Closes the stylizer explicitly when the stylizer is not used in
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# a context.
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stylizer.close()
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@parameterized.parameters(
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(ModelFileType.FILE_NAME, _LARGE_FACE_IMAGE),
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(ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
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)
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def test_stylize_in_context(self, model_file_type, image_file_name):
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# Load the test image.
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self.test_image = _Image.create_from_file(
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test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, image_file_name)
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)
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)
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# Creates stylizer.
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if model_file_type is ModelFileType.FILE_NAME:
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base_options = _BaseOptions(model_asset_path=self.model_path)
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elif model_file_type is ModelFileType.FILE_CONTENT:
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with open(self.model_path, 'rb') as f:
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model_content = f.read()
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base_options = _BaseOptions(model_asset_buffer=model_content)
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else:
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# Should never happen
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raise ValueError('model_file_type is invalid.')
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options = _FaceStylizerOptions(base_options=base_options)
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with _FaceStylizer.create_from_options(options) as stylizer:
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# Performs face stylization on the input.
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stylized_image = stylizer.stylize(self.test_image)
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self.assertIsInstance(stylized_image, _Image)
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self.assertEqual(stylized_image.width, _MODEL_IMAGE_SIZE)
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self.assertEqual(stylized_image.height, _MODEL_IMAGE_SIZE)
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def test_stylize_succeeds_with_region_of_interest(self):
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base_options = _BaseOptions(model_asset_path=self.model_path)
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options = _FaceStylizerOptions(base_options=base_options)
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with _FaceStylizer.create_from_options(options) as stylizer:
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# Load the test image.
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test_image = _Image.create_from_file(
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test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
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)
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)
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# Region-of-interest around the face.
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roi = _Rect(left=0.32, top=0.02, right=0.67, bottom=0.32)
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image_processing_options = _ImageProcessingOptions(roi)
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# Performs face stylization on the input.
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stylized_image = stylizer.stylize(test_image, image_processing_options)
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self.assertIsInstance(stylized_image, _Image)
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self.assertEqual(stylized_image.width, _MODEL_IMAGE_SIZE)
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self.assertEqual(stylized_image.height, _MODEL_IMAGE_SIZE)
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def test_stylize_succeeds_with_no_face_detected(self):
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base_options = _BaseOptions(model_asset_path=self.model_path)
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options = _FaceStylizerOptions(base_options=base_options)
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with _FaceStylizer.create_from_options(options) as stylizer:
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# Load the test image.
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test_image = _Image.create_from_file(
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test_utils.get_test_data_path(
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os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
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)
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)
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# Region-of-interest that doesn't contain a human face.
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roi = _Rect(left=0.1, top=0.1, right=0.2, bottom=0.2)
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image_processing_options = _ImageProcessingOptions(roi)
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# Performs face stylization on the input.
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stylized_image = stylizer.stylize(test_image, image_processing_options)
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self.assertIsNone(stylized_image)
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if __name__ == '__main__':
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absltest.main()
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2
mediapipe/tasks/testdata/vision/BUILD
vendored
2
mediapipe/tasks/testdata/vision/BUILD
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@ -48,6 +48,7 @@ mediapipe_files(srcs = [
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"face_landmark.tflite",
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"face_landmarker.task",
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"face_landmarker_v2.task",
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"face_stylizer_color_ink.task",
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"fist.jpg",
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"fist.png",
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"gesture_recognizer.task",
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@ -183,6 +184,7 @@ filegroup(
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"face_detection_short_range.tflite",
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"face_landmarker.task",
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"face_landmarker_v2.task",
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"face_stylizer_color_ink.task",
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"hair_segmentation.tflite",
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"hand_landmark_full.tflite",
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"hand_landmark_lite.tflite",
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18
third_party/external_files.bzl
vendored
18
third_party/external_files.bzl
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@ -424,6 +424,12 @@ def external_files():
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urls = ["https://storage.googleapis.com/mediapipe-assets/face_stylization_dummy.tflite?generation=1678323589048063"],
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)
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http_file(
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name = "com_google_mediapipe_face_stylizer_color_ink_task",
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sha256 = "887a490b74046ecb2b1d092cc0173a961b4ed3640aaadeafa852b1122ca23b2a",
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urls = ["https://storage.googleapis.com/mediapipe-assets/face_stylizer_color_ink.task?generation=1697732437695259"],
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)
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http_file(
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name = "com_google_mediapipe_face_stylizer_json",
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sha256 = "ad89860d5daba6a1c4163a576428713fc3ddab76d6bbaf06d675164423ae159f",
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@ -550,6 +556,18 @@ def external_files():
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urls = ["https://storage.googleapis.com/mediapipe-assets/hand_roi_refinement_generated_graph.pbtxt?generation=1695159196033618"],
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)
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http_file(
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name = "com_google_mediapipe_holistic_hand_tracking_left_hand_graph_pbtxt",
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sha256 = "c964589b448471c0cd9e0f68c243e232e6f8a4c0959b41a3cd1cbb14e9efa6b1",
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urls = ["https://storage.googleapis.com/mediapipe-assets/holistic_hand_tracking_left_hand_graph.pbtxt?generation=1697732440362430"],
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)
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http_file(
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name = "com_google_mediapipe_holistic_pose_tracking_graph_pbtxt",
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sha256 = "1d36d014d38c09fea73042471d5d1a616f3cc9f22c8ca625deabc38efd63f6aa",
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urls = ["https://storage.googleapis.com/mediapipe-assets/holistic_pose_tracking_graph.pbtxt?generation=1697732442566093"],
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)
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http_file(
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name = "com_google_mediapipe_image_tensor_meta_json",
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sha256 = "aad86fde3defb379c82ff7ee48e50493a58529cdc0623cf0d7bf135c3577060e",
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