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@@ -84,7 +84,7 @@ conda create -y -n lcnn
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source activate lcnn
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# Replace cudatoolkit=10.1 with your CUDA version: https://pytorch.org/
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conda install -y pytorch cudatoolkit=10.1 -c pytorch
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-conda install -y tensorboardx -c conda-forge
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+conda install -y tensorboardx gdown -c conda-forge
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conda install -y pyyaml docopt matplotlib scikit-image opencv
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mkdir data logs post
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```
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@@ -109,13 +109,13 @@ Here, `-d 0` is specifying the GPU ID used for evaluation, and you can specify `
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Make sure `curl` is installed on your system and execute
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```bash
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cd data
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-../misc/gdrive-download.sh 1T4_6Nb5r4yAXre3lf-zpmp3RbmyP1t9q wireframe.tar.xz
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+gdown 1T4_6Nb5r4yAXre3lf-zpmp3RbmyP1t9q -O wireframe.tar.xz
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tar xf wireframe.tar.xz
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rm wireframe.tar.xz
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cd ..
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```
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-If `gdrive-download.sh` does not work for you, you can download the pre-processed dataset
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+If `gdown` does not work for you, you can download the pre-processed dataset
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`wireframe.tar.xz` manually from [Google
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Drive](https://drive.google.com/drive/u/1/folders/1rXLAh5VIj8jwf8vLfuZncStihRO2chFr) and proceed
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accordingly.
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@@ -127,7 +127,7 @@ the pre-processed dataset `wireframe.tar.xz`.
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```bash
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cd data
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-../misc/gdrive-download.sh 1BRkqyi5CKPQF6IYzj_dQxZFQl0OwbzOf wireframe_raw.tar.xz
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+gdown 1BRkqyi5CKPQF6IYzj_dQxZFQl0OwbzOf -O wireframe_raw.tar.xz
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tar xf wireframe_raw.tar.xz
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rm wireframe_raw.tar.xz
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cd ..
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