This is a instruction about Autosweep Dataset.

• 1_ Cube_Cylinder_11658: Contains all Images, masks and etc
  • cls: FCIS data, classes level
  • gray: Contour maps
  • ImageSets: Training lists,Testing lists
  • img: Image...
  • inst: FCIS data, instances level
  • instanceIds_5classes: Masks of MaskRCNN data, 5 classes
  • instanceIds_6classes: Masks of MaskRCNN data, 6 classes
  • line: Edge maps
  • lineData: For modeling, Record line Data.
  • lineImage: For modeling, visulization line.
  • seg: Masks of FCIS
  • tool: Useful Tools
  • old_cube_files: Old cube file with deficiency
• 2_Cube_Cylinder_raw: Backup data for deeplab, faster-rcnn
  • ...
• 3_Synthtic_Data_21467: Synthtic Data with 10 models
  • ...
• 4_Sub_Geonet_data: Training and Testing Data for Sub Geonet
  • ...
• 5_XiaoData: XiaoData with Autosweep pattern in 1_ Cube_Cylinder_11658.
• 6_AxisCurveData: Training and Testing data for axis curve experiments
• 7_ExperimentData:
  • Exper_Cuboid: Training Data for Cuboid Modeling and Detection Experiment
  • Exper_FCIS_DCN: Training Data for MeanAP Experiment
  • Exper_MeanAP: Testing Data for MeanAP Experiment, For evaluation
  • Exper_PointNet_VolexNet: models for PointNet & VolexNet
  • Exper_XiaoCube: Testing Data for Cuboid Modeling and Detection Experiment, For evaluation
  • Net_Model: Config files and Models for FCIS, MaskRcnn & DCN
  • Rebuttal_Exper_Mask_RCN: Rebuttal Experiments on MeanIOU.