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constants.py 2.06 KB
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kerlomz 提交于 2021-05-10 18:31 . 增加轻量cnn3模型
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Author: kerlomz <kerlomz@gmail.com>
from enum import Enum, unique
@unique
class ModelType(Enum):
"""模型类别枚举"""
PB = 'PB'
ONNX = 'ONNX'
TFLITE = 'TFLITE'
@unique
class DatasetType(Enum):
"""数据集类别枚举"""
Directory = 'Directory'
TFRecords = 'TFRecords'
@unique
class LabelFrom(Enum):
"""标签来源枚举"""
XML = 'XML'
LMDB = 'LMDB'
FileName = 'FileName'
TXT = 'TXT'
@unique
class LossFunction(Enum):
"""损失函数枚举"""
CrossEntropy = 'CrossEntropy'
CTC = 'CTC'
@unique
class ModelScene(Enum):
"""模型场景枚举"""
Classification = 'Classification'
@unique
class ModelField(Enum):
"""模型类别枚举"""
Image = 'Image'
Text = 'Text'
@unique
class RunMode(Enum):
"""运行模式枚举"""
Validation = 'Validation'
Trains = 'Trains'
Predict = 'Predict'
@unique
class CNNNetwork(Enum):
"""卷积层枚举"""
CNN3 = 'CNN3'
CNNX = 'CNNX'
CNN5 = 'CNN5'
ResNetTiny = 'ResNetTiny'
ResNet50 = 'ResNet50'
DenseNet = 'DenseNet'
MobileNetV2 = 'MobileNetV2'
@unique
class RecurrentNetwork(Enum):
"""循环层枚举"""
NoRecurrent = 'NoRecurrent'
GRU = 'GRU'
BiGRU = 'BiGRU'
GRUcuDNN = 'GRUcuDNN'
LSTM = 'LSTM'
BiLSTM = 'BiLSTM'
LSTMcuDNN = 'LSTMcuDNN'
BiLSTMcuDNN = 'BiLSTMcuDNN'
@unique
class Optimizer(Enum):
"""优化器枚举"""
RAdam = 'RAdam'
Adam = 'Adam'
Momentum = 'Momentum'
AdaBound = 'AdaBound'
SGD = 'SGD'
AdaGrad = 'AdaGrad'
RMSProp = 'RMSProp'
@unique
class SimpleCharset(Enum):
"""简单字符分类枚举"""
NUMERIC = 'NUMERIC'
ALPHANUMERIC = 'ALPHANUMERIC'
ALPHANUMERIC_LOWER = 'ALPHANUMERIC_LOWER'
ALPHANUMERIC_UPPER = 'ALPHANUMERIC_UPPER'
ALPHABET_LOWER = 'ALPHABET_LOWER'
ALPHABET_UPPER = 'ALPHABET_UPPER'
ALPHABET = 'ALPHABET'
ARITHMETIC = 'ARITHMETIC'
FLOAT = 'FLOAT'
CHS_3500 = 'CHS_3500'
ALPHANUMERIC_CHS_3500_LOWER = 'ALPHANUMERIC_CHS_3500_LOWER'
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