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AutoSweep_Dataset

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.

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This is a instruction about Autosweep Dataset.

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