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manufactured-finetune_prithvi_swin_B_band_interval.yaml
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# lightning.pytorch==2.1.1
seed_everything: 42
trainer:
accelerator: cpu
strategy: auto
devices: auto
num_nodes: 1
# precision: 16-mixed
logger:
class_path: TensorBoardLogger
init_args:
save_dir: tests/
name: all_ecos_random
callbacks:
- class_path: RichProgressBar
- class_path: LearningRateMonitor
init_args:
logging_interval: epoch
- class_path: EarlyStopping
init_args:
monitor: val/loss
patience: 100
max_epochs: 5
check_val_every_n_epoch: 1
log_every_n_steps: 20
enable_checkpointing: true
default_root_dir: tests/
data:
class_path: GenericNonGeoPixelwiseRegressionDataModule
init_args:
batch_size: 2
num_workers: 4
train_transform:
- class_path: albumentations.HorizontalFlip
init_args:
p: 0.5
- class_path: albumentations.Rotate
init_args:
limit: 30
border_mode: 0 # cv2.BORDER_CONSTANT
value: 0
# mask_value: 1
p: 0.5
- class_path: ToTensorV2
dataset_bands:
- [0, 11]
output_bands:
- [1, 3]
- [4, 6]
rgb_indices:
- 2
- 1
- 0
train_data_root: tests/
train_label_data_root: tests/
val_data_root: tests/
val_label_data_root: tests/
test_data_root: tests/
test_label_data_root: tests/
img_grep: "regression*input*.tif"
label_grep: "regression*label*.tif"
means:
- 547.36707
- 898.5121
- 1020.9082
- 2665.5352
- 2340.584
- 1610.1407
stds:
- 411.4701
- 558.54065
- 815.94025
- 812.4403
- 1113.7145
- 1067.641
no_label_replace: -1
no_data_replace: 0
model:
class_path: terratorch.tasks.PixelwiseRegressionTask
init_args:
model_args:
decoder: UperNetDecoder
pretrained: true
backbone: prithvi_swin_B
backbone_pretrained_cfg_overlay:
file: tests/prithvi_swin_B.pt
backbone_drop_path_rate: 0.3
# backbone_window_size: 8
decoder_channels: 256
in_channels: 6
bands:
- BLUE
- GREEN
- RED
- NIR_NARROW
- SWIR_1
- SWIR_2
num_frames: 1
head_dropout: 0.5708022831486758
head_final_act: torch.nn.ReLU
head_learned_upscale_layers: 2
loss: rmse
#aux_heads:
# - name: aux_head
# decoder: IdentityDecoder
# decoder_args:
# decoder_out_index: 2
# head_dropout: 0,5
# head_channel_list:
# - 64
# head_final_act: torch.nn.ReLU
#aux_loss:
# aux_head: 0.4
ignore_index: -1
freeze_backbone: true
freeze_decoder: false
model_factory: PrithviModelFactory
# uncomment this block for tiled inference
# tiled_inference_parameters:
# h_crop: 224
# h_stride: 192
# w_crop: 224
# w_stride: 192
# average_patches: true
optimizer:
class_path: torch.optim.AdamW
init_args:
lr: 0.00013524680528283027
weight_decay: 0.047782217873995426
lr_scheduler:
class_path: ReduceLROnPlateau
init_args:
monitor: val/loss