---
license: apache-2.0
datasets:
-  comma2k19
tags:
- onnx
- ENOT-AutoDL
- ADAS
---

# ENOT-AutoDL supercombo optimization on Comma2k19 dataset.

This repository contains the modification for 
[supercombo](https://github.com/commaai/openpilot/tree/7d3ad941bc4ba4c923af7a1d7b48544bfc0d3e13/models) model
with **one target task: plane prediction**.  
Model architecture from [openpilot-pipeline](https://github.com/mbalesni/openpilot-pipeline/blob/main/common/models/supercombo.onnx) repository is used as a baseline.  
Sample videos was generated using [openpilot-pipeline's code](https://github.com/mbalesni/openpilot-pipeline/blob/main/train/vis.ipynb).  

## 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
<img src="baseline.gif" width="640" height="480"/>

### Optimized model
<img src="accelerated.gif" width="640" height="480"/>

If you want to book a demo, please contact us: enot@enot.ai .