зеркало из https://github.com/microsoft/torchgeo.git
0d4811b752
* adding QR loss functions for learning on the prior * chesapake learn on prior trainer with self-contained code for visualization * adding prior dataset to the chesapeake datasets; doesn't handle downloading or anything like that yet * updating init files to include chesapeake CVPR prior * adding FCNModified for learning on the prior * changing input to samplers to pass dataset instead of dataset.index * fixing style issues * Removing FCN_modified * Fixing super call and mypy in FCN model * Added learning on the prior extension * Update tests * Formatting * Adding QR loss * Added losses to docs * Removing trainer, moving datamodule * Combining chesapeake and chesapeake prior datamodules * Formatting * Test coverage * Formatting * Adding losses * Re-moving the datamodules around * Make loss function a torch Module * Version added * Fixed some stuff that got messed up in the rebase * Formatting * How'd this get there? * Change qr losses to expect probabilities instead of log-probabilities * Clean up test * Rename qr loss file * Renamed test file Co-authored-by: Caleb Robinson <calebrob6@gmail.com> |
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_static | ||
api | ||
tutorials | ||
user | ||
Makefile | ||
conf.py | ||
index.rst | ||
make.bat | ||
requirements.txt |