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  FFNet-40S-Quantized 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-Quantized on Qualcomm® devices.
 
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  FFNet-40S-Quantized 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-Quantized found [here](https://github.com/Qualcomm-AI-research/FFNet).
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  This repository provides scripts to run FFNet-40S-Quantized on Qualcomm® devices.