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README.md

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@@ -73,7 +73,7 @@ The code is developed under the following configurations.
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1. Download the ADE20K scene parsing dataset:
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```bash
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chmod +x download_ADE20K.sh
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. download_ADE20K.sh
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./download_ADE20K.sh
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```
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2. Train a network (default: resnet34_dilated8). During training, checkpoints will be saved in folder ```ckpt```, visual results will be saved in folder ```vis```.
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```bash
@@ -123,7 +123,8 @@ usage: eval.py [-h] --id ID [--suffix SUFFIX] [--arch_encoder ARCH_ENCODER]
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## Test/Inference
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1. Here is a simple demo to do inference on a single image:
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```bash
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. demo_test.sh
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chmod +x demo_test.sh
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./demo_test.sh
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```
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2. Input arguments: (see full input arguments via ```python test.py -h ```)
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```bash

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