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TFLiteBEAM => TFLiteElixir
1 parent 172c03e commit f264c05

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notebooks/artistic_style_transfer.livemd

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```elixir
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alias Evision, as: Cv
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alias TFLiteBEAM, as: TFLite
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteElixir, as: TFLite
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alias TFLiteElixir.TFLiteTensor
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```
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## Pre-process the inputs

notebooks/object_detection.livemd

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```elixir
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alias Evision, as: Cv
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alias TFLiteBEAM, as: TFLite
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteElixir, as: TFLite
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alias TFLiteElixir.TFLiteTensor
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```
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## Load lables

notebooks/pose_estimation_image_sequence.livemd

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```elixir
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alias Evision, as: Cv
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alias TFLiteBEAM, as: TFLite
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteElixir, as: TFLite
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alias TFLiteElixir.TFLiteTensor
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```
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## Download data files

notebooks/pose_estimation_single_image.livemd

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```elixir
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alias Evision, as: Cv
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alias TFLiteBEAM, as: TFLite
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteElixir, as: TFLite
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alias TFLiteElixir.TFLiteTensor
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```
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## Load input image

notebooks/super_resolution.livemd

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```elixir
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alias Evision, as: Cv
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alias TFLiteBEAM, as: TFLite
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteElixir, as: TFLite
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alias TFLiteElixir.TFLiteTensor
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```
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## Generate a super resolution image using TensorFlow Lite

notebooks/tflite_benchmark_densenet.livemd

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Code based on [classify_image.py](https://github.com/google-coral/pycoral/blob/master/examples/classify_image.py)
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"""
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alias TFLiteBEAM.Interpreter
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alias TFLiteBEAM.InterpreterBuilder
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteBEAM.FlatBufferModel
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alias TFLiteElixir.Interpreter
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alias TFLiteElixir.InterpreterBuilder
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alias TFLiteElixir.TFLiteTensor
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alias TFLiteElixir.FlatBufferModel
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def run(args) do
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default_values = [

notebooks/tpu.livemd

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Code based on [classify_image.py](https://github.com/google-coral/pycoral/blob/master/examples/classify_image.py)
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"""
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alias TFLiteBEAM.Interpreter
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alias TFLiteBEAM.InterpreterBuilder
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alias TFLiteBEAM.TFLiteTensor
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alias TFLiteBEAM.FlatBufferModel
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alias TFLiteElixir.Interpreter
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alias TFLiteElixir.InterpreterBuilder
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alias TFLiteElixir.TFLiteTensor
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alias TFLiteElixir.FlatBufferModel
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@shortdoc "Image Classification"
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def run(args) do

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