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supercombo-acceleration
ENOT-AutoDL/supercombo-acceleration
supercombo-acceleration is a machine learning model from ENOT-AutoDL. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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.
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Updated Nov 14, 2023
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108 MB
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.onnx75.1 MB · 70%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023
- SHA
- 45419dcc
Datasets
Model card
From the Hugging Face model README
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
<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 .
- License
- apache-2.0
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023