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README.md
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FFNet-78S-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
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This repository provides scripts to run FFNet-78S-Quantized on Qualcomm® devices.
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FFNet-78S-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-78S-Quantized found [here](https://github.com/Qualcomm-AI-research/FFNet).
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This repository provides scripts to run FFNet-78S-Quantized on Qualcomm® devices.
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