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Toytiny committed Mar 17, 2023
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Expand Up @@ -92,6 +92,24 @@ python preprocess/preprocess_vod.py --root_dir $ROOT_DIR$ --save_dir $SAVE_DIR$

where `$ROOT_DIR$` is the path of the VoD dataset. The final scene flow samples will be saved under the `$SAVE_DIR$/flow_smp/`. The preprocessing speed might be slow because we need to infer the optical flow results with the RAFT model for training samples. Each scene flow sample is a dictinary that includes:

Possible errors during preprocessing:

i. Error during reading frame pose information.
```
File ".../preprocess/utils/vod/frame/transformations.py", line 277, in get_world_transform
t_odom_camera = np.array(jsons[0]["odomToCamera"], dtype=np.float32).reshape(4, 4)
IndexError: list index out of range
```
This is due to the pose information missing at the beginning of sequences. We recommend copy the pose information from the closest later frame to


ii. Error when FrameDataLoader loads labels.
```
ERROR:root:02759.txt does not exist at location: /mnt/data/fangqiang/view_of_delft/lidar/training/label_2!
```
Please ignore them. These errors have no impact to our preprocessing. Because these frames (e.g., 2532-3276) are testing frames in the original dataset, thus their labels are withheld for benchmarking. Moreover, our preprocessing code doesn't use these labels loaded by FrameDataLoader, instead we use `preprocess/label_track_gt` and `preprocess/label_track_pre`.


```
#Key Dimension Description
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