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docs(data): update README, fix #8
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dataprocess/README.md

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@@ -30,7 +30,7 @@ pip install numpy==1.22
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Install their download tool `s5cmd`, already in our envsftool.yaml. Then download the dataset:
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```bash
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# train is really big (750): totally 966 GB
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# train is really big (700): totally 966 GB
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s5cmd --numworkers 12 --no-sign-request cp "s3://argoverse/datasets/av2/sensor/train/*" av2/sensor/train
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# val (150) and test (150): totally 168GB + 168GB
@@ -61,7 +61,7 @@ s5cmd --numworkers 12 --no-sign-request cp "s3://argoverse/datasets/av2/lidar/te
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| Dataset | # Total Scene | # Total Frames |
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| ------------ | ------------- | -------------- |
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| Sensor/train | 750 | 110071 |
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| Sensor/train | 700 | 110071 |
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| Sensor/val | 150 | 23547 |
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| Sensor/test | 150 | 23574 |
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| LiDAR/train | 16000 | - |
@@ -168,4 +168,4 @@ Process train data for self-supervised learning. Only training data needs this s
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```bash
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python process.py --data_dir /home/kin/data/av2/preprocess_v2/sensor/train --scene_range 0,701
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```
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```

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