feat: adding resnet and formatting updates
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@@ -15,11 +15,21 @@ class ImageClassModels(Enum):
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keras.applications.inception_v3.preprocess_input,
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"inception_v3"
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)
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INCEPTION_RESNET_V2 = ModelWrapper(
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keras.applications.inception_resnet_v2.InceptionResNetV2,
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keras.applications.inception_resnet_v2.preprocess_input,
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"inception_resnet_v2"
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)
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XCEPTION = ModelWrapper(
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keras.applications.xception.Xception,
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keras.applications.xception.preprocess_input,
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"xception"
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)
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DENSENET201 = ModelWrapper(
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keras.applications.densenet.DenseNet201,
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keras.applications.densenet.preprocess_input,
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"densenet201"
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)
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MOBILENET_V2 = ModelWrapper(
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keras.applications.mobilenet_v2.MobileNetV2,
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keras.applications.mobilenet_v2.preprocess_input,
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@@ -34,7 +44,6 @@ class ImageClassModels(Enum):
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keras.applications.efficientnet_v2.EfficientNetV2B0,
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tf.keras.applications.efficientnet_v2.preprocess_input,
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"efficientnet_v2b0"
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)
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