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Releases: hmellor/pytorch-superpixels
Releases · hmellor/pytorch-superpixels
Pre-processing feature added
You can now create masks and pre-processed target data-sets for PASCAL based data-sets.
These data-sets are stored in the SuperPixels
directory in the root of the PASCAL data-set.
Each pre-processed data-set creates 2 directories: 100_sp_mask
and 100_sp_target
(assuming you created a 100 superpixel data-set). Each of these sub-directories contains .pt
files for loading into your PyTorch model at train/validation/test time.
Ground Zero
This is release 0. The code has had it's code copied over from another project and is ready to be developed as a standalone package.