Four optimization techniques for Machine Learning Inference on Raspberry Pi SBC

Опубликовано: 25 Август 2021
на канале: Hardware.ai
2,339
like

Link to the article:
https://www.hackster.io/dmitrywat/fas...

Hardware in the video:
reTerminal
https://www.seeedstudio.com/ReTermina...

Blink Blink ICE Tower CPU Cooling Fan for Raspberry Pi (Support Pi 4)
https://www.seeedstudio.com/Blink-Bli...

Links to the materials mentioned in the video (tell me if I forgot any):
ARMNN GIthub
https://github.com/ARM-software/armnn

XNNPACK GIthub
https://github.com/google/XNNPACK

TF-MOT Toolkit Documentation
https://www.tensorflow.org/model_opti...

Smart Pruning: Improve Machine Learning Performance on Mobile
https://community.arm.com/developer/i...

Support FP32 computations using INT8 weights in TensorFlow Lite XNNPACK delegate
https://github.com/tensorflow/tensorf...

0:10 Why I made this video
1:12 Designing ...
2:17 Reducing ...
3:51 Optimized ...
8:17 ... inference
9:35 Don't set your Pi on Fire

Credits for the music:
Nostalgia Drive - A Nostalgic Synthwave / Chillwave / Retrowave mix
   • Nostalgia Drive - A Nostalgic Synthwa...  
ED-209 – Frequency
Photon – Cosmos

Credits for the artwork:
Awesome Pi On Fire Demo on Bare metal Raspberry Pi
   • Pi On Fire Raspberry Pi Demoscene Demo  


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