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  # FFNet-40S: Optimized for Mobile Deployment
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  ## Semantic segmentation for automotive street scenes
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  FFNet-40S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
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- This model is an implementation of FFNet-40S found [here]({source_repo}).
 
 
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  This repository provides scripts to run FFNet-40S on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/ffnet_40s).
 
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  # FFNet-40S: Optimized for Mobile Deployment
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  ## Semantic segmentation for automotive street scenes
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  FFNet-40S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
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+ This model is an implementation of Posenet-Mobilenet found [here](https://github.com/Qualcomm-AI-research/FFNet).
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  This repository provides scripts to run FFNet-40S on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/ffnet_40s).