Welcome to pytorch-caney’s documentation!

Contents:

• pytorch-caney
  • Objectives
  • Installation
  • Why Caney?
  • Contributors
  • Contributing
  • SatVision
  • SatVision Datasets
  • MODIS Surface Reflectance (MOD09GA) Band Details
  • Pre-training with Masked Image Modeling
  • Fine-tuning Satvision-base
  • Testing
  • References
• pytorch-caney package
  • pytorch_caney.config
  • pytorch_caney.data.datamodules.finetune_datamodule
  • pytorch_caney.data.datamodules.mim_datamodule
  • pytorch_caney.data.datamodules.segmentation_datamodule
  • pytorch_caney.data.datamodules.simmim_datamodule
  • pytorch_caney.data.datasets.classification_dataset
  • pytorch_caney.data.datasets.modis_dataset
  • pytorch_caney.data.transforms
  • pytorch_caney.data.utils
  • pytorch_caney.inference
  • pytorch_caney.loss.build
  • pytorch_caney.loss.utils
  • pytorch_caney.lr_scheduler
  • pytorch_caney.metrics
  • pytorch_caney.models.decoders.unet_decoder
  • pytorch_caney.models.mim.mim
  • pytorch_caney.models.simmim.simmim
  • pytorch_caney.models.build
  • pytorch_caney.models.maskrcnn_model
  • pytorch_caney.models.swinv2_model
  • pytorch_caney.models.unet_model
  • pytorch_caney.models.unet_swin_model
  • pytorch_caney.network.attention
  • pytorch_caney.network.mlp
  • pytorch_caney.pipelines.finetuning.finetune
  • pytorch_caney.pipelines.pretraining.mim
  • pytorch_caney.pipelines.modis_segmentation
  • pytorch_caney.processing
  • pytorch_caney.ptc_logging
  • pytorch_caney.training.fine_tuning
  • pytorch_caney.training.mim_utils
  • pytorch_caney.training.pre_training
  • pytorch_caney.training.simmim_utils
  • pytorch_caney.training.utils
  • pytorch_caney.utils

Indices and tables

• Index

• Module Index

• Search Page