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audio_classifier.py
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audio_classifier.py
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# Copyright 2022 The TensorFlow 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.
"""Audio classifier task."""
import dataclasses
from tensorflow_lite_support.python.task.audio.core import audio_record
from tensorflow_lite_support.python.task.audio.core import tensor_audio
from tensorflow_lite_support.python.task.audio.core.pybinds import _pywrap_audio_buffer
from tensorflow_lite_support.python.task.audio.pybinds import _pywrap_audio_classifier
from tensorflow_lite_support.python.task.core import base_options as base_options_module
from tensorflow_lite_support.python.task.processor.proto import classification_options_pb2
from tensorflow_lite_support.python.task.processor.proto import classifications_pb2
_CppAudioFormat = _pywrap_audio_buffer.AudioFormat
_CppAudioBuffer = _pywrap_audio_buffer.AudioBuffer
_CppAudioClassifier = _pywrap_audio_classifier.AudioClassifier
_ClassificationOptions = classification_options_pb2.ClassificationOptions
_BaseOptions = base_options_module.BaseOptions
@dataclasses.dataclass
class AudioClassifierOptions:
"""Options for the audio classifier task."""
base_options: _BaseOptions
classification_options: _ClassificationOptions = _ClassificationOptions()
class AudioClassifier(object):
"""Class that performs classification on audio."""
def __init__(self, options: AudioClassifierOptions,
classifier: _CppAudioClassifier) -> None:
"""Initializes the `AudioClassifier` object."""
# Creates the object of C++ AudioClassifier class.
self._options = options
self._classifier = classifier
@classmethod
def create_from_file(cls, file_path: str) -> "AudioClassifier":
"""Creates the `AudioClassifier` object from a TensorFlow Lite model.
Args:
file_path: Path to the model.
Returns:
`AudioClassifier` object that's created from `options`.
Raises:
ValueError: If failed to create `AudioClassifier` object from the provided
file such as invalid file.
RuntimeError: If other types of error occurred.
"""
base_options = _BaseOptions(file_name=file_path)
options = AudioClassifierOptions(base_options=base_options)
return cls.create_from_options(options)
@classmethod
def create_from_options(cls,
options: AudioClassifierOptions) -> "AudioClassifier":
"""Creates the `AudioClassifier` object from audio classifier options.
Args:
options: Options for the audio classifier task.
Returns:
`AudioClassifier` object that's created from `options`.
Raises:
ValueError: If failed to create `AudioClassifier` object from
`AudioClassifierOptions` such as missing the model.
RuntimeError: If other types of error occurred.
"""
classifier = _CppAudioClassifier.create_from_options(
options.base_options.to_pb2(), options.classification_options.to_pb2())
return cls(options, classifier)
def create_input_tensor_audio(self) -> tensor_audio.TensorAudio:
"""Creates a TensorAudio instance to store the audio input.
Returns:
A TensorAudio instance.
"""
return tensor_audio.TensorAudio(
audio_format=self.required_audio_format,
buffer_size=self.required_input_buffer_size)
def create_audio_record(self) -> audio_record.AudioRecord:
"""Creates an AudioRecord instance to record audio.
Returns:
An AudioRecord instance.
"""
return audio_record.AudioRecord(self.required_audio_format.channels,
self.required_audio_format.sample_rate,
self.required_input_buffer_size)
def classify(
self,
audio: tensor_audio.TensorAudio,
) -> classifications_pb2.ClassificationResult:
"""Performs classification on the provided TensorAudio.
Args:
audio: Tensor audio, used to extract the feature vectors.
Returns:
classification result.
Raises:
ValueError: If any of the input arguments is invalid.
RuntimeError: If failed to run audio classification.
"""
classification_result = self._classifier.classify(
_CppAudioBuffer(audio.buffer, audio.buffer_size, audio.format))
return classifications_pb2.ClassificationResult.create_from_pb2(
classification_result)
@property
def required_input_buffer_size(self) -> int:
"""Gets the required input buffer size for the model."""
return self._classifier.get_required_input_buffer_size()
@property
def required_audio_format(self) -> _CppAudioFormat:
"""Gets the required audio format for the model.
Raises:
RuntimeError: If failed to get the required audio format.
"""
return self._classifier.get_required_audio_format()