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README.md
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DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.
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This model is an implementation of
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This repository provides scripts to run DDRNet23-Slim on Qualcomm® devices.
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DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.
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This model is an implementation of DDRNet23-Slim found [here](https://github.com/chenjun2hao/DDRNet.pytorch).
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This repository provides scripts to run DDRNet23-Slim on Qualcomm® devices.
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