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README.md

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 ---
 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 .

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