cassdlcm/mediapipe
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge pull request #4814 from kinaryml:face-stylizer-adding-unit-tests-to-api

Browse Source 
PiperOrigin-RevId: 575895855
This commit is contained in:
Copybara-Service 2023-10-23 12:31:33 -07:00
commit a39df33664
4 changed files with 228 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
mediapipe/tasks/python/test/vision/BUILD
View File

@ -211,3 +211,20 @@ py_test(
"//mediapipe/tasks/python/vision/core:image_processing_options",
],
)
py_test(
name = "face_stylizer_test",
srcs = ["face_stylizer_test.py"],
data = [
"//mediapipe/tasks/testdata/vision:test_images",
"//mediapipe/tasks/testdata/vision:test_models",
],
deps = [
"//mediapipe/python:_framework_bindings",
"//mediapipe/tasks/python/components/containers:rect",
"//mediapipe/tasks/python/core:base_options",
"//mediapipe/tasks/python/test:test_utils",
"//mediapipe/tasks/python/vision:face_stylizer",
"//mediapipe/tasks/python/vision/core:image_processing_options",
],
)

191
mediapipe/tasks/python/test/vision/face_stylizer_test.py Normal file
View File

@ -0,0 +1,191 @@
# Copyright 2023 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 absl.testing import absltest
from absl.testing import parameterized
from mediapipe.python._framework_bindings import image as image_module
from mediapipe.tasks.python.components.containers import rect
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 image_processing_options as image_processing_options_module
_BaseOptions = base_options_module.BaseOptions
_Rect = rect.Rect
_Image = image_module.Image
_FaceStylizer = face_stylizer.FaceStylizer
_FaceStylizerOptions = face_stylizer.FaceStylizerOptions
_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
_MODEL = 'face_stylizer_color_ink.task'
_LARGE_FACE_IMAGE = 'portrait.jpg'
_MODEL_IMAGE_SIZE = 256
_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, _LARGE_FACE_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, _LARGE_FACE_IMAGE),
(ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
)
def test_stylize(self, model_file_type, image_file_name):
# Load the test image.
self.test_image = _Image.create_from_file(
test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, image_file_name)
)
)
# 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)
self.assertIsInstance(stylized_image, _Image)
# Closes the stylizer explicitly when the stylizer is not used in
# a context.
stylizer.close()
@parameterized.parameters(
(ModelFileType.FILE_NAME, _LARGE_FACE_IMAGE),
(ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
)
def test_stylize_in_context(self, model_file_type, image_file_name):
# Load the test image.
self.test_image = _Image.create_from_file(
test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, image_file_name)
)
)
# 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)
with _FaceStylizer.create_from_options(options) as stylizer:
# Performs face stylization on the input.
stylized_image = stylizer.stylize(self.test_image)
self.assertIsInstance(stylized_image, _Image)
self.assertEqual(stylized_image.width, _MODEL_IMAGE_SIZE)
self.assertEqual(stylized_image.height, _MODEL_IMAGE_SIZE)
def test_stylize_succeeds_with_region_of_interest(self):
base_options = _BaseOptions(model_asset_path=self.model_path)
options = _FaceStylizerOptions(base_options=base_options)
with _FaceStylizer.create_from_options(options) as stylizer:
# Load the test image.
test_image = _Image.create_from_file(
test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
)
)
# Region-of-interest around the face.
roi = _Rect(left=0.32, top=0.02, right=0.67, bottom=0.32)
image_processing_options = _ImageProcessingOptions(roi)
# Performs face stylization on the input.
stylized_image = stylizer.stylize(test_image, image_processing_options)
self.assertIsInstance(stylized_image, _Image)
self.assertEqual(stylized_image.width, _MODEL_IMAGE_SIZE)
self.assertEqual(stylized_image.height, _MODEL_IMAGE_SIZE)
def test_stylize_succeeds_with_no_face_detected(self):
base_options = _BaseOptions(model_asset_path=self.model_path)
options = _FaceStylizerOptions(base_options=base_options)
with _FaceStylizer.create_from_options(options) as stylizer:
# Load the test image.
test_image = _Image.create_from_file(
test_utils.get_test_data_path(
os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
)
)
# Region-of-interest that doesn't contain a human face.
roi = _Rect(left=0.1, top=0.1, right=0.2, bottom=0.2)
image_processing_options = _ImageProcessingOptions(roi)
# Performs face stylization on the input.
stylized_image = stylizer.stylize(test_image, image_processing_options)
self.assertIsNone(stylized_image)
if __name__ == '__main__':
absltest.main()

2
mediapipe/tasks/testdata/vision/BUILD vendored
View File

@ -48,6 +48,7 @@ mediapipe_files(srcs = [
"face_landmark.tflite",
"face_landmarker.task",
"face_landmarker_v2.task",
"face_stylizer_color_ink.task",
"fist.jpg",
"fist.png",
"gesture_recognizer.task",
@ -183,6 +184,7 @@ filegroup(
"face_detection_short_range.tflite",
"face_landmarker.task",
"face_landmarker_v2.task",
"face_stylizer_color_ink.task",
"hair_segmentation.tflite",
"hand_landmark_full.tflite",
"hand_landmark_lite.tflite",

18
third_party/external_files.bzl vendored
View File

@ -424,6 +424,12 @@ def external_files():
urls = ["https://storage.googleapis.com/mediapipe-assets/face_stylization_dummy.tflite?generation=1678323589048063"],
)
http_file(
name = "com_google_mediapipe_face_stylizer_color_ink_task",
sha256 = "887a490b74046ecb2b1d092cc0173a961b4ed3640aaadeafa852b1122ca23b2a",
urls = ["https://storage.googleapis.com/mediapipe-assets/face_stylizer_color_ink.task?generation=1697732437695259"],
)
http_file(
name = "com_google_mediapipe_face_stylizer_json",
sha256 = "ad89860d5daba6a1c4163a576428713fc3ddab76d6bbaf06d675164423ae159f",
@ -550,6 +556,18 @@ def external_files():
urls = ["https://storage.googleapis.com/mediapipe-assets/hand_roi_refinement_generated_graph.pbtxt?generation=1695159196033618"],
)
http_file(
name = "com_google_mediapipe_holistic_hand_tracking_left_hand_graph_pbtxt",
sha256 = "c964589b448471c0cd9e0f68c243e232e6f8a4c0959b41a3cd1cbb14e9efa6b1",
urls = ["https://storage.googleapis.com/mediapipe-assets/holistic_hand_tracking_left_hand_graph.pbtxt?generation=1697732440362430"],
)
http_file(
name = "com_google_mediapipe_holistic_pose_tracking_graph_pbtxt",
sha256 = "1d36d014d38c09fea73042471d5d1a616f3cc9f22c8ca625deabc38efd63f6aa",
urls = ["https://storage.googleapis.com/mediapipe-assets/holistic_pose_tracking_graph.pbtxt?generation=1697732442566093"],
)
http_file(
name = "com_google_mediapipe_image_tensor_meta_json",
sha256 = "aad86fde3defb379c82ff7ee48e50493a58529cdc0623cf0d7bf135c3577060e",