41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
# Copyright 2022 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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"""Hyperparameters for training customized gesture recognizer models."""
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import dataclasses
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from mediapipe.model_maker.python.core import hyperparameters as hp
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@dataclasses.dataclass
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class HParams(hp.BaseHParams):
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"""The hyperparameters for training gesture recognizer.
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Attributes:
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learning_rate: Learning rate to use for gradient descent training.
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batch_size: Batch size for training.
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epochs: Number of training iterations over the dataset.
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lr_decay: Learning rate decay to use for gradient descent training.
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gamma: Gamma parameter for focal loss.
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"""
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# Parameters from BaseHParams class.
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learning_rate: float = 0.001
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batch_size: int = 2
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epochs: int = 10
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# Parameters about training configuration
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# TODO: Move lr_decay to hp.baseHParams.
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lr_decay: float = 0.99
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gamma: int = 2
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