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scannet v2 split
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chrischoy committed Nov 2, 2019
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16 changes: 8 additions & 8 deletions README.md
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Expand Up @@ -5,25 +5,25 @@ This repository contains the accompanying code for [4D-SpatioTemporal ConvNets:

## ScanNet Training

1. First, preprocess all scannet raw point cloud with the following command after you set the path correctly.
1. Download the ScanNet dataset from [the official website](http://kaldir.vc.in.tum.de/scannet_benchmark/documentation). You need to sign the terms of use.

2. Next, preprocess all scannet raw point cloud with the following command after you set the path correctly.

```
python -m lib.datasets.prepreocessing.scannet
```

2. Download the v2 official splits from [https://github.com/ScanNet/ScanNet/tree/master/Tasks/Benchmark](https://github.com/ScanNet/ScanNet/tree/master/Tasks/Benchmark) and save them to the scannet preprocessed root directory.

3. Create `scannetv2_trainval.txt` by concatenating `scannetv2_train.txt` and `scannetv2_val.txt`.

4. Train the network with
3. Train the network with

```
export BATCH_SIZE=N; \
./scripts/train_scannet.sh 0 \
export BATCH_SIZE=N;
./scripts/train_scannet.sh 0 \
-default \
"--scannet_path /path/to/preprocessed/scannet"
```

Modify the `BATCH_SIZE` accordingly.

The first argument is the GPU id and the second argument is the path postfix
and the last argument is the miscellaneous arguments.

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