seung-lab (original) (raw)

  1. Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
    C++ 412 46
  2. Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
    C++ 248 36
  3. Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
    C++ 147 26
  4. Read and write Neuroglancer datasets programmatically.
    Python 146 48
  5. Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
    C++ 94 33
  6. Python wrapper for Google's Draco mesh compression library.
    C++ 93 28