Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.

Image classification • MLPerf inference • TFLite CPU • Mobilenets • Linux • webcam • via cloud

solution:demo-image-classification-tflite-cpu-mobilenets-linux-azure (v1.5.0)

Portable solution description  

Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!

Start cBench (status: disconnected)

cb start

Live test of this workflow via your browser

Successfully tested configuration

Host OS: linux-64 (Ubuntu 18.04.3 LTS)
Target OS: linux-64 (Ubuntu 18.04.3 LTS)
Target machine: Microsoft Corporation 7.0 (Virtual Machine)
Target CPU: Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Target CPUs:
Python version for virtual env: 3.6.9

Dependencies    

Reused CK components

These components are automatically installed by cBench from this portal:
pip install numpy
pip install opencv-python

ck pull repo:ck-mlperf

ck install package --tags=lib,python-package,numpy
ck install package --tags=lib,python-package,cv2

ck install package:imagenet-2012-val-min
ck install package:imagenet-2012-aux
ck install package:lib-rtl-xopenme

ck install package:dataset-imagenet-preprocessed-using-opencv

ck install package --tags=lib,tflite,v1.13.1,vsrc

ck install package:model-tf-mlperf-mobilenet-quantized

ck compile program:image-classification-tflite-codereef --speed

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