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model_list.txt
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35 lines (30 loc) · 961 Bytes
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###########################################################
# CNN type of ML model
###########################################################
ResNet_50
ResNet_101
ResNet_152
ResNeXt_50
ResNeXt_101
Inception_v3
InceptionResNet_v2
MobileNet
DenseNet_121
DenseNet_169
DenseNet_201
DenseNet_264
Xception
###########################################################
# Attention Module
###########################################################
SE
CBAM
GCBAM
###########################################################
# Video-based
###########################################################
LSTM
** You should input the name of ML model(MODEL_TRAIN/TEST_NAME) in the config_image.txt and config_video.txt.
** The name of model should figure to [CNN type of ML model]_[Attention Module]_[Video-based].
** [Video-based] and [Attention Module] is a option.
** Example: Inception_v3, InceptionResNet_v2_LSTM, InceptionResNet_v2_CBAM, InceptionResNet_v2_CBAM_LSTM