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: enot@enot.ai .