From 6774794d0241942a2bca0cc05ef4626c2148fc71 Mon Sep 17 00:00:00 2001 From: MediaPipe Team Date: Tue, 14 Mar 2023 14:08:49 -0700 Subject: [PATCH] Add the dataset module for face stylizer in model maker. PiperOrigin-RevId: 516628350 --- .../python/vision/face_stylizer/BUILD | 48 +++++++++ .../python/vision/face_stylizer/__init__.py | 14 +++ .../python/vision/face_stylizer/dataset.py | 98 ++++++++++++++++++ .../vision/face_stylizer/dataset_test.py | 48 +++++++++ .../face_stylizer/testdata/cartoon/disney.png | Bin 0 -> 354978 bytes .../face_stylizer/testdata/sketch/sketch.png | Bin 0 -> 343649 bytes 6 files changed, 208 insertions(+) create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/BUILD create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/__init__.py create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/dataset.py create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/testdata/cartoon/disney.png create mode 100644 mediapipe/model_maker/python/vision/face_stylizer/testdata/sketch/sketch.png diff --git a/mediapipe/model_maker/python/vision/face_stylizer/BUILD b/mediapipe/model_maker/python/vision/face_stylizer/BUILD new file mode 100644 index 000000000..804511540 --- /dev/null +++ b/mediapipe/model_maker/python/vision/face_stylizer/BUILD @@ -0,0 +1,48 @@ +# 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. + +# Placeholder for internal Python strict test compatibility macro. +# Placeholder for internal Python strict library and test compatibility macro. + +licenses(["notice"]) + +package(default_visibility = ["//mediapipe:__subpackages__"]) + +filegroup( + name = "testdata", + srcs = glob([ + "testdata/**", + ]), +) + +py_library( + name = "dataset", + srcs = ["dataset.py"], + deps = [ + "//mediapipe/model_maker/python/core/data:classification_dataset", + "//mediapipe/model_maker/python/vision/core:image_utils", + ], +) + +py_test( + name = "dataset_test", + srcs = ["dataset_test.py"], + data = [ + ":testdata", + ], + deps = [ + ":dataset", + "//mediapipe/tasks/python/test:test_utils", + ], +) diff --git a/mediapipe/model_maker/python/vision/face_stylizer/__init__.py b/mediapipe/model_maker/python/vision/face_stylizer/__init__.py new file mode 100644 index 000000000..e935c0c76 --- /dev/null +++ b/mediapipe/model_maker/python/vision/face_stylizer/__init__.py @@ -0,0 +1,14 @@ +# 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. +"""MediaPipe Model Maker Python Public API For Face Stylization.""" diff --git a/mediapipe/model_maker/python/vision/face_stylizer/dataset.py b/mediapipe/model_maker/python/vision/face_stylizer/dataset.py new file mode 100644 index 000000000..b6c85d6f3 --- /dev/null +++ b/mediapipe/model_maker/python/vision/face_stylizer/dataset.py @@ -0,0 +1,98 @@ +# 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. +"""Face stylizer dataset library.""" + +import logging +import os + +import tensorflow as tf + +from mediapipe.model_maker.python.core.data import classification_dataset +from mediapipe.model_maker.python.vision.core import image_utils + + +# TODO: Change to a unlabeled dataset if it makes sense. +class Dataset(classification_dataset.ClassificationDataset): + """Dataset library for face stylizer fine tuning.""" + + @classmethod + def from_folder( + cls, dirname: str + ) -> classification_dataset.ClassificationDataset: + """Loads images from the given directory. + + The style image dataset directory is expected to contain one subdirectory + whose name represents the label of the style. There can be one or multiple + images of the same style in that subdirectory. Supported input image formats + include 'jpg', 'jpeg', 'png'. + + Args: + dirname: Name of the directory containing the image files. + + Returns: + Dataset containing images and labels and other related info. + Raises: + ValueError: if the input data directory is empty. + """ + data_root = os.path.abspath(dirname) + + # Assumes the image data of the same label are in the same subdirectory, + # gets image path and label names. + all_image_paths = list(tf.io.gfile.glob(data_root + r'/*/*')) + all_image_size = len(all_image_paths) + if all_image_size == 0: + raise ValueError('Invalid input data directory') + if not any( + fname.endswith(('.jpg', '.jpeg', '.png')) for fname in all_image_paths + ): + raise ValueError('No images found under given directory') + + label_names = sorted( + name + for name in os.listdir(data_root) + if os.path.isdir(os.path.join(data_root, name)) + ) + all_label_size = len(label_names) + index_by_label = dict( + (name, index) for index, name in enumerate(label_names) + ) + # Get the style label from the subdirectory name. + all_image_labels = [ + index_by_label[os.path.basename(os.path.dirname(path))] + for path in all_image_paths + ] + + path_ds = tf.data.Dataset.from_tensor_slices(all_image_paths) + + image_ds = path_ds.map( + image_utils.load_image, num_parallel_calls=tf.data.AUTOTUNE + ) + + # Load label + label_ds = tf.data.Dataset.from_tensor_slices( + tf.cast(all_image_labels, tf.int64) + ) + + # Create a dataset of (image, label) pairs + image_label_ds = tf.data.Dataset.zip((image_ds, label_ds)) + + logging.info( + 'Load images dataset with size: %d, num_label: %d, labels: %s.', + all_image_size, + all_label_size, + ', '.join(label_names), + ) + return Dataset( + dataset=image_label_ds, size=all_image_size, label_names=label_names + ) diff --git a/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py b/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py new file mode 100644 index 000000000..a8af222d4 --- /dev/null +++ b/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py @@ -0,0 +1,48 @@ +# 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. + +import tensorflow as tf + +from mediapipe.model_maker.python.vision.face_stylizer import dataset +from mediapipe.tasks.python.test import test_utils + + +class DatasetTest(tf.test.TestCase): + + def setUp(self): + super().setUp() + # TODO: Replace the stylize image dataset with licensed images. + self._test_data_dirname = 'testdata' + + def test_from_folder(self): + input_data_dir = test_utils.get_test_data_path(self._test_data_dirname) + data = dataset.Dataset.from_folder(dirname=input_data_dir) + self.assertEqual(data.num_classes, 2) + self.assertEqual(data.label_names, ['cartoon', 'sketch']) + self.assertLen(data, 2) + + def test_from_folder_raise_value_error_for_invalid_path(self): + with self.assertRaisesRegex(ValueError, 'Invalid input data directory'): + dataset.Dataset.from_folder(dirname='invalid') + + def test_from_folder_raise_value_error_for_valid_no_data_path(self): + input_data_dir = test_utils.get_test_data_path('face_stylizer') + with self.assertRaisesRegex( + ValueError, 'No images found under given directory' + ): + dataset.Dataset.from_folder(dirname=input_data_dir) + + +if __name__ == '__main__': + tf.test.main() diff --git a/mediapipe/model_maker/python/vision/face_stylizer/testdata/cartoon/disney.png b/mediapipe/model_maker/python/vision/face_stylizer/testdata/cartoon/disney.png new file mode 100644 index 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