CV
Image classification models.
Types
EfficientNet4Lite
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Image classification model based on EfficientNet-Lite architecture. Trained on ImageNet 1k dataset. (labels are available via org.jetbrains.kotlinx.dl.impl.dataset.Imagenet.labels method).
MobilenetV1
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Image classification model based on MobileNetV1 architecture. Trained on ImageNet 1k dataset. (labels are available via org.jetbrains.kotlinx.dl.impl.dataset.Imagenet.labels method).
Functions
model
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pretrainedModel
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open override fun pretrainedModel(modelHub: ModelHub): ImageRecognitionModel
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Properties
inputShape
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modelRelativePath
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preprocessor
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open val preprocessor: Operation<Pair<FloatArray, TensorShape>, Pair<FloatArray, TensorShape>>
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Inheritors
ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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ONNXModels.CV
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