ENOT-AutoDL supercombo optimization on Comma2k19 dataset.
This repository contains the modification for
supercombo model
with one target task: plane prediction.
Model architecture from openpilot-pipeline repository is used as a baseline.
Sample videos was generated using openpilot-pipeline's code.
Optimization results
We use MACs as a latency measure because this metric is device-agnostic and implementation independent.
There is also a possibility to optimize a model by target device latency using ENOT neural architecture selection algorithm.
Please, keep in mind that acceleration by device latency differs from acceleration by MACs.
| Model | MACs | acceleration |
|---|---|---|
| supercombo_plane.onnx | 472774912 | 1.0 |
| optimized_supercombo_plane.onnx | 109917744 | 4.3 |
Inference example
Baseline model
Optimized model
If you want to book a demo, please contact us: [email protected] .
Inference Providers
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