Comments (1)
Merging with #13.
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Related Issues (15)
- Save labeled bodies to HDF5 for inspection (single region sparse)
- fill_subvolume_with_model overwrites CUDA_VISIBLE_DEVICES HOT 1
- Training and prediction of the "CREMI" data set. PART 2 HOT 5
- 'pip install diluvian' is not working HOT 3
- UNet should downsample dimensions to nearest isotropy HOT 1
- Subvolume bounds generator should apply mask constraints based on output, not input, FOV shape
- setup.py doesn't work
- Batches should optionally be drawn from a single subvolume generator
- Coalesce adjacent partitions
- Dense segmentation should fill in parallel
- Support dilated conv layers
- Optional noise/dropout in mask input channel for robustness training
- Multi GPU fn's should optionally take list of devices instead of GPU count
- Reimplement a transposed convolution for UNet upscaling
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