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add burn scars and multi temporal crop examples
Signed-off-by: Carlos Gomes <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,131 @@ | ||
| # lightning.pytorch==2.1.1 | ||
| seed_everything: 0 | ||
| trainer: | ||
| accelerator: auto | ||
| strategy: auto | ||
| devices: auto | ||
| num_nodes: 1 | ||
| precision: 16-mixed | ||
| logger: | ||
| class_path: TensorBoardLogger | ||
| init_args: | ||
| save_dir: <path> | ||
| name: fire_scars | ||
| callbacks: | ||
| - class_path: RichProgressBar | ||
| - class_path: LearningRateMonitor | ||
| init_args: | ||
| logging_interval: epoch | ||
| - class_path: EarlyStopping | ||
| init_args: | ||
| monitor: val/loss | ||
| patience: 40 | ||
|
|
||
| max_epochs: 200 | ||
| check_val_every_n_epoch: 1 | ||
| log_every_n_steps: 50 | ||
| enable_checkpointing: true | ||
| default_root_dir: <path> | ||
|
|
||
| # dataset available: https://huggingface.co/datasets/ibm-nasa-geospatial/hls_burn_scars | ||
| data: | ||
| class_path: GenericNonGeoSegmentationDataModule | ||
| init_args: | ||
| batch_size: 4 | ||
| num_workers: 8 | ||
| dataset_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| output_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| rgb_indices: | ||
| - 0 | ||
| - 1 | ||
| - 2 | ||
| train_transform: | ||
| - class_path: albumentations.RandomCrop | ||
| init_args: | ||
| height: 224 | ||
| width: 224 | ||
| - class_path: albumentations.HorizontalFlip | ||
| init_args: | ||
| p: 0.5 | ||
| - class_path: ToTensorV2 | ||
| no_data_replace: 0 | ||
| no_label_replace: -1 | ||
| train_data_root: <data_path>/training | ||
| train_label_data_root: <data_path>/training | ||
| val_data_root: <data_path>/validation | ||
| val_label_data_root: <data_path>/validation | ||
| test_data_root: <data_path>/validation | ||
| test_label_data_root: <data_path>/validation | ||
| img_grep: "*_merged.tif" | ||
| label_grep: "*.mask.tif" | ||
| means: | ||
| - 0.033349706741586264 | ||
| - 0.05701185520536176 | ||
| - 0.05889748132001316 | ||
| - 0.2323245113436119 | ||
| - 0.1972854853760658 | ||
| - 0.11944914225186566 | ||
| stds: | ||
| - 0.02269135568823774 | ||
| - 0.026807560223070237 | ||
| - 0.04004109844362779 | ||
| - 0.07791732423672691 | ||
| - 0.08708738838140137 | ||
| - 0.07241979477437814 | ||
| num_classes: 2 | ||
|
|
||
| model: | ||
| class_path: terratorch.tasks.SemanticSegmentationTask | ||
| init_args: | ||
| model_args: | ||
| decoder: FCNDecoder | ||
| pretrained: true | ||
| backbone: prithvi_vit_100 | ||
| decoder_channels: 256 | ||
| in_channels: 6 | ||
| bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| num_frames: 1 | ||
| num_classes: 2 | ||
| head_dropout: 0.1 | ||
| decoder_num_convs: 4 | ||
| head_channel_list: | ||
| - 256 | ||
| loss: dice | ||
| plot_on_val: 10 | ||
| ignore_index: -1 | ||
| freeze_backbone: false | ||
| freeze_decoder: false | ||
| model_factory: PrithviModelFactory | ||
| tiled_inference_parameters: | ||
| h_crop: 512 | ||
| h_stride: 496 | ||
| w_crop: 512 | ||
| w_stride: 496 | ||
| average_patches: true | ||
| optimizer: | ||
| class_path: torch.optim.Adam | ||
| init_args: | ||
| lr: 1.5e-5 | ||
| weight_decay: 0.05 | ||
| lr_scheduler: | ||
| class_path: ReduceLROnPlateau | ||
| init_args: | ||
| monitor: val/loss |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,169 @@ | ||
| # lightning.pytorch==2.1.1 | ||
| seed_everything: 0 | ||
| trainer: | ||
| accelerator: auto | ||
| strategy: auto | ||
| devices: auto | ||
| num_nodes: 1 | ||
| precision: 16-mixed | ||
| logger: | ||
| class_path: TensorBoardLogger | ||
| init_args: | ||
| save_dir: <path> | ||
| name: replicate | ||
| callbacks: | ||
| - class_path: RichProgressBar | ||
| - class_path: LearningRateMonitor | ||
| init_args: | ||
| logging_interval: epoch | ||
|
|
||
| max_epochs: 200 | ||
| check_val_every_n_epoch: 1 | ||
| log_every_n_steps: 50 | ||
| enable_checkpointing: true | ||
| default_root_dir: <path> | ||
|
|
||
| # data available at: https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification | ||
| data: | ||
| class_path: GenericNonGeoSegmentationDataModule | ||
| init_args: | ||
| batch_size: 8 | ||
| num_workers: 12 | ||
| train_transform: | ||
| - class_path: FlattenTemporalIntoChannels | ||
| - class_path: albumentations.Flip | ||
| - class_path: ToTensorV2 | ||
| - class_path: UnflattenTemporalFromChannels | ||
| init_args: | ||
| n_timesteps: 3 | ||
|
|
||
| dataset_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| output_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| rgb_indices: | ||
| - 2 | ||
| - 1 | ||
| - 0 | ||
| reduce_zero_label: True | ||
| expand_temporal_dimension: True | ||
| train_data_root: <data_path>/training_chips | ||
| train_label_data_root: <data_path>/training_chips | ||
| val_data_root: <data_path>/validation_chips | ||
| val_label_data_root: <data_path>/validation_chips | ||
| test_data_root: <data_path>/validation_chips | ||
| test_label_data_root: <data_path>/validation_chips | ||
| train_split: <data_path>/training_chips/training_data.txt | ||
| test_split: <data_path>/validation_chips/validation_data.txt | ||
| val_split: <data_path>/validation_chips/validation_data.txt | ||
| img_grep: "*_merged.tif" | ||
| label_grep: "*.mask.tif" | ||
| means: | ||
| - 494.905781 | ||
| - 815.239594 | ||
| - 924.335066 | ||
| - 2968.881459 | ||
| - 2634.621962 | ||
| - 1739.579917 | ||
| stds: | ||
| - 284.925432 | ||
| - 357.84876 | ||
| - 575.566823 | ||
| - 896.601013 | ||
| - 951.900334 | ||
| - 921.407808 | ||
| num_classes: 13 | ||
|
|
||
| model: | ||
| class_path: terratorch.tasks.SemanticSegmentationTask | ||
| init_args: | ||
| model_args: | ||
| decoder: FCNDecoder | ||
| pretrained: true | ||
| backbone: prithvi_vit_100 | ||
| in_channels: 6 | ||
| rescale: False | ||
| bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| num_frames: 3 | ||
| num_classes: 13 | ||
| head_dropout: 0.1 | ||
| decoder_channels: 512 | ||
| head_channel_list: | ||
| - 128 | ||
| - 64 | ||
| loss: ce | ||
| class_names: | ||
| - Natural Vegetation | ||
| - Forest | ||
| - Corn | ||
| - Soybeans | ||
| - Wetlands | ||
| - Developed/Barren | ||
| - Open Water | ||
| - Winter Wheat | ||
| - Alfalfa | ||
| - Fallow/Idle Cropland | ||
| - Cotton | ||
| - Sorghum | ||
| - Other | ||
| # aux_heads: | ||
| # - name: aux_head | ||
| # decoder: FCNDecoder | ||
| # decoder_args: | ||
| # decoder_channels: 256 | ||
| # decoder_in_index: 2 | ||
| # decoder_num_convs: 2 | ||
| # head_channel_list: | ||
| # - 64 | ||
| # aux_loss: | ||
| # aux_head: 1.0 | ||
| class_weights: | ||
| - 0.386375 | ||
| - 0.661126 | ||
| - 0.548184 | ||
| - 0.640482 | ||
| - 0.876862 | ||
| - 0.925186 | ||
| - 3.249462 | ||
| - 1.542289 | ||
| - 2.175141 | ||
| - 2.272419 | ||
| - 3.062762 | ||
| - 3.626097 | ||
| - 1.198702 | ||
|
|
||
| ignore_index: -1 | ||
| freeze_backbone: false | ||
| freeze_decoder: false | ||
| model_factory: PrithviModelFactory | ||
| tiled_inference_parameters: | ||
| h_crop: 224 | ||
| h_stride: 196 | ||
| w_crop: 224 | ||
| w_stride: 196 | ||
| average_patches: true | ||
| optimizer: | ||
| class_path: torch.optim.AdamW | ||
| init_args: | ||
| lr: 1.5e-5 | ||
| weight_decay: 0.05 | ||
| lr_scheduler: | ||
| class_path: ReduceLROnPlateau | ||
| init_args: | ||
| monitor: val/loss |