This is root folder for all parts of AutoSweep. There are several modules like below:
- FasterRCNN: we use deeplab for detection task at first. Finally, we use instances segmentation.
- Deeplab: we use deeplab for segementaion task at first. However, we find that this is not suit for instance task.
- PointSetGeneration：Code for "A Point Set Generation Network for 3D Object Reconstruction from a Single Image".
- 3D-R2N2:Single/multi view image(s) to voxel reconstruction using a recurrent neural network.
- FCIS:we modify fcis to be suit for AutoSweep dataset.
- MaskRCNN:we modify maskrcnn to be suit for AutoSweep dataset.
- DCN: Code from Deformable Deconvolutional Network.
- GeonetEnd2End: This is a attempt for connectting FCIS and DCN.
- OneKeyGeonet: We use this framework based on Matlab, to do experiments and demo.
- AxisClassifier: The property of curve or straight is estimated by this classifier.
- CircleReconstruction: C++ version of Profile fitting.
- AnnatationTool: The annatiation tool for AutoSweep dataset.
- Unity Part:
- ObjectSnap: Modeling Part of AutoSweep Project based on Unity.