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Over TFProfiler

Profileer uw Tensorflow Lite-model op het apparaat met verschillende opties

TFProfiler is an app that aims to profile TensorFlow Lite model or OpenCV DNN supported ones (*.onnx, *.caffemodel, *.pb, *.weights, *.t7, *.net, etc). Measure model performance with FPS, model initialization time, inference time, memory consumption, etc. You can tweak model inferences on Android smartphone with different accelerators:

•  CPU

•  GPU

•  NNAPI

•  HEXAGON

•  XNNPACK

The app has a built-in subset of public available image dataset Caltech 101 (http://www.vision.caltech.edu/Image_Datasets/Caltech101/). It may be used for testing model inferences.

Source code of the app can be found here: https://github.com/iglaweb/TFProfiler

The app is intended only for testing and conducting experiments on your Android smartphone.

Wat is er nieuw in de nieuwste versie 1.2.0

Last updated on Jun 9, 2022

Fixes and improvements

Vertaling Laden...

Aanvullende APP -informatie

Laatste Versie

Verzoek update van TFProfiler 1.2.0

Geüpload door

Khinsoeoo Soeoo

Android vereist

Android 5.0+

Meer Info

TFProfiler Screenshots

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