The dataset configs are located within tools/cfgs/dataset_configs, and the model configs are located within tools/cfgs for different settings.
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Please download the ScanNet Dataset and follow PointGroup to pre-process the dataset as follows or directly download the pre-processed data here.
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Additionally, please download the caption data here. If you want to generate captions on your own, please download image data (scannet_frames_25k) from ScanNet and follow scripts generate_caption.py and generate_caption_idx.py.
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The directory organization should be as follows:
PLA ├── data │ ├── scannetv2 │ │ │── train │ │ │ │── scene0000_00.pth │ │ │ │── ... │ │ │── val │ │ │── text_embed │ │ │── caption_idx │ │ │── scannetv2_train.txt │ │ │── scannetv2_val.txt │ │ │—— scannet_frames_25k (optional, only for caption generation) ├── pcseg ├── tools
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Please download the S3DIS Dataset and follow dataset/s3dis/preprocess.py to pre-process the dataset as follows or directly download the pre-processed data here.
python3 pcseg/datasets/s3dis/preprocess.py
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Additionally, please download the caption data here. If you want to generate captions on your own, please download image data here and follows scripts here: generate_caption.py and generate_caption_idx.py.
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The directory organization should be as follows:
PLA ├── data │ ├── s3dis │ │ │── stanford_indoor3d_inst │ │ │ │── Area_1_Conference_1.npy │ │ │ │── ... │ │ │── text_embed │ │ │── caption_idx │ │ │—— s3dis_2d (optional, only for caption generation) ├── pcseg ├── tools