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Hoi Lam - Adding ML Kit to Android Things And s...

Hoi Lam - Adding ML Kit to Android Things And some TensorFlow things

droidcon Berlin

July 17, 2018
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  1. #WeAreHoi #WeAreHoi Adding ML Kit to Android Things And some

    TensorFlow things DroidCon Berlin 2018
  2. #WeAreHoi Image Labelling Low latency High accuracy 400+ labels 10,000+

    labels Free Free then quota Check the website!
  3. #WeAreHoi • Control your environment (apples and oranges) • Make

    your model smaller - Quantization - instead of using Float32 use uint8 ◦ Need fake quantization node ◦ Search for Fixed Point Quantization for more details • Mixing samples ◦ java.lang.IllegalArgumentException: Failed to get input dimensions. 0-th input should have 602112 bytes, but found 150528 bytes. ◦ java.lang.IllegalArgumentException: Cannot convert an TensorFlowLite tensor with type FLOAT32 to a Java object of type [[B (which is compatible with the TensorFlowLite type UINT8)
  4. #WeAreHoi #WeAreHoi Adding ML Kit to Android Things And some

    TensorFlow things DroidCon Berlin 2018