We provide TFProfiler online (apkid: ru.igla.tfprofiler) in order to run this application in our online Android emulator.
Description:
Run this app named TFProfiler using MyAndroid.
You can do it using our Android online emulator.
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.
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.
MyAndroid is not a downloader online for TFProfiler. It only allows to test online TFProfiler with apkid ru.igla.tfprofiler. MyAndroid provides the official Google Play Store to run TFProfiler online.
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