1. 11 May, 2021 1 commit
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    • Ziyi Wu's avatar
      [Feature] Support ScanNet semantic segmentation dataset (#390) · 9cb75e7d
      Ziyi Wu authored
      * remove max_num_point in ScanNet data preprocessing
      
      * add config file for ScanNet semantic segmentation dataset
      
      * modify NormalizePointsColor in pipeline
      
      * add visualization function for semantic segmentation
      
      * add ignore_index to semantic segmentation visualization function
      
      * add ignore_index to semantic segmentation evaluation function
      
      * fix ignore_index bug in semantic segmentation evaluation function
      
      * add test function to check ignore_index assignment in PointSegClassMapping
      
      * fix slicing bug in BasePoints class and add unittest
      
      * add IndoorPatchPointSample class for indoor semantic segmentation data loading and add unittest
      
      * modify LoadPointsFromFile class and its unittest to support point color loading
      
      * fix data path in unittest
      
      * add setter function for coord and attributes of BasePoint and modify unittest
      
      * modify color normalization operation to work on BasePoint class
      
      * add unittest for ScanNet semantic segmentation data loading pipeline
      
      * fix ignore_index bug in seg_eval function
      
      * add ScanNet semantic segmentation dataset and unittest
      
      * modify config file for ScanNet semantic segmentation
      
      * fix visualization function and modify unittest
      
      * fix a typo in seg_eval.py
      
      * raise exception when semantic mask is not provided in train/eval data loading
      
      * support custom computation of label weight for loss calculation
      
      * modify seg_eval function to be more efficient
      
      * fix small bugs & change variable names for clarity & add more cases to unittest
      
      * move room index resampling and label weight computation to data pre-processing
      
      * add option allowing user to determine whether to sub-sample point clouds
      
      * fix typos & change .format to f-string & fix link in comment
      
      * save all visualizations into .obj format for consistency
      
      * infer num_classes from label2cat in eval_seg function
      
      * add pre-computed room index and label weight for ScanNet dataset
      
      * replace .ply with .obj in unittests and documents
      
      * add TODO in case data is on ceph
      
      * add base dataset for all semantic segmentation tasks & add ScanNet dataset inheriting from base dataset
      
      * rename class for consistency
      
      * fix minor typos in comment
      
      * move Custom3DSegDataset to a new file
      
      * modify BasePoint setter function to enable attribute adding
      
      * add unittest for NormalizePointsColor and fix small bugs
      
      * fix unittest for BasePoints
      
      * modify ScanNet data pre-processing scripts
      
      * change ignore_idx to -1 in seg_eval function
      
      * remove sliding inference from PatchSample function and modify unittest
      
      * remove PatchSample from scannet seg test_pipeline
      9cb75e7d
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