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Fangchang Ma
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fixed typo in README
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README.md

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@@ -48,7 +48,7 @@ python3 main.py --help
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For instance, run the following command to train a network with ResNet50 as the encoder, deconvolutions of kernel size 3 as the decoder, and both RGB and 100 random sparse depth samples as the input to the network.
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```bash
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python3 main.py -a resnet50 -d deconv3 -m rgbd -s 100 -data nyudepthv2
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python3 main.py -a resnet50 -d deconv3 -m rgbd -s 100 --data nyudepthv2
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```
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Training results will be saved under the `results` folder. To resume a previous training, run

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