mediapipe/mediapipe/model_maker/python/vision/gesture_recognizer/model_options.py
MediaPipe Team 3e6cd5d2bf Add support for customizing gesture recognizer layers
PiperOrigin-RevId: 496456160
2022-12-19 11:57:09 -08:00

34 lines
1.3 KiB
Python

# 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.
"""Configurable model options for gesture recognizer models."""
import dataclasses
from typing import List
@dataclasses.dataclass
class GestureRecognizerModelOptions:
"""Configurable options for gesture recognizer model.
Attributes:
dropout_rate: The fraction of the input units to drop, used in dropout
layer.
layer_widths: A list of hidden layer widths for the gesture model. Each
element in the list will create a new hidden layer with the specified
width. The hidden layers are separated with BatchNorm, Dropout, and ReLU.
Defaults to an empty list(no hidden layers).
"""
dropout_rate: float = 0.05
layer_widths: List[int] = dataclasses.field(default_factory=list)