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# ICNet_tensorflow
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## News (2018.10.22 updated):
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Now you can try ICNet on your own image online using [ModelDepot live demo](https://modeldepot.io/hellochick/icnet) features.
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This repo provides a TensorFlow-based implementation of paper "[ICNet for Real-Time Semantic Segmentation on High-Resolution Images](https://arxiv.org/abs/1704.08545)," by Hengshuang Zhao, and et. al. (ECCV'18).
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The model generates segmentation mask for every pixel in the image. It's based on the ResNet50 with totally three branches as auxiliary paths, see architecture below for illustration.
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We provide both training and inference code in this repo. The pre-trained models we provided are converted from caffe weights in [Official Implementation](https://github.com/hszhao/ICNet).
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## News (2018.10.22 updated):
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Now you can try ICNet on your own image online using [ModelDepot live demo](https://modeldepot.io/hellochick/icnet)!
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## Table Of Contents
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- [Environment Setup](#environment)
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- [Download Weights](#download-weights)

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