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weights="imagenet" only works with 3 image channels
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@ -100,7 +100,8 @@ def DilatedSpatialPyramidPooling(dspp_input):
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def DeeplabV3Plus(image_size, num_classes, num_channels=3):
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model_input = tf.keras.Input(shape=(image_size, image_size, num_channels))
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resnet50 = tf.keras.applications.ResNet50(
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weights="imagenet", include_top=False, input_tensor=model_input
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weights="imagenet" if num_channels == 3 else None,
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include_top=False, input_tensor=model_input
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)
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x = resnet50.get_layer("conv4_block6_2_relu").output
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x = DilatedSpatialPyramidPooling(x)
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