|
task_name: predict |
|
tags: |
|
- dev |
|
train: true |
|
test: true |
|
ckpt_path: null |
|
seed: 42 |
|
float32_matmul_precision: high |
|
clean_pred: true |
|
data: |
|
_target_: src.data.canopy_datamodule.GEODataModule |
|
geometry_path: ${paths.data_dir}canopy_height/geometries.geojson |
|
imageside: 336 |
|
imagesize: 224 |
|
mean: |
|
- 124 |
|
- 124 |
|
- 124 |
|
- 124 |
|
std: |
|
- 124 |
|
- 124 |
|
- 124 |
|
- 124 |
|
mean_type: global |
|
iinter: 1 |
|
batch_size: 64 |
|
pin_memory: true |
|
num_workers: 0 |
|
sample_multiplier: 1 |
|
tsize_base: null |
|
tsize_enum_sizes: |
|
- 1 |
|
tsize_enum_probs: |
|
- 1 |
|
tsize_range_frac: 0.5 |
|
tsize_range_sizes: |
|
- 0.5 |
|
- 2 |
|
trot_prob: 0.5 |
|
trot_angle: 90 |
|
min_overlap: 0.2 |
|
test_overlap: 0.5 |
|
model: |
|
_target_: src.models.regression_module.RegressionModule |
|
optimizer: |
|
_target_: torch.optim.Adam |
|
_partial_: true |
|
lr: 0.001 |
|
weight_decay: 0.0 |
|
scheduler: |
|
_target_: torch.optim.lr_scheduler.ReduceLROnPlateau |
|
_partial_: true |
|
mode: min |
|
factor: 0.5 |
|
patience: 1 |
|
threshold: 0.01 |
|
threshold_mode: rel |
|
metric_monitored: val/RMSE |
|
warmup_scheduler: |
|
_target_: src.models.components.utils.WarmupScheduler |
|
_partial_: true |
|
min_lr: 1.0e-05 |
|
max_lr: ${model.optimizer.lr} |
|
fract: 0.04 |
|
net: |
|
_target_: src.models.components.timmNet.timmNet |
|
img_size: ${data.imagesize} |
|
num_channels: 4 |
|
num_classes: 1 |
|
backbone: pvt_v2_b3.in1k |
|
pretrained: false |
|
pretrained_path: datasets/Models/pvt_v2_b3.in1k.bin |
|
segmentation_head: |
|
_partial_: true |
|
_target_: src.models.components.utils.SimpleSegmentationHead |
|
decoder_stride: 32 |
|
save_eval_only: true |
|
save_freq: 1000 |
|
test_overlap: ${data.test_overlap} |
|
compile: false |
|
num_classes: ${model.net.num_classes} |
|
aux_loss_factor: 0.0 |
|
loss: l1 |
|
activation: none |
|
callbacks: |
|
model_checkpoint: |
|
_target_: lightning.pytorch.callbacks.ModelCheckpoint |
|
dirpath: ${paths.output_dir}/checkpoints |
|
filename: epoch_{epoch:03d} |
|
monitor: val/RMSE |
|
verbose: false |
|
save_last: true |
|
save_top_k: 1 |
|
mode: min |
|
auto_insert_metric_name: false |
|
save_weights_only: false |
|
every_n_train_steps: null |
|
train_time_interval: null |
|
every_n_epochs: null |
|
save_on_train_epoch_end: null |
|
early_stopping: |
|
_target_: lightning.pytorch.callbacks.EarlyStopping |
|
monitor: ${callbacks.model_checkpoint.monitor} |
|
min_delta: 0.0 |
|
patience: 3 |
|
verbose: false |
|
mode: min |
|
strict: true |
|
check_finite: true |
|
stopping_threshold: null |
|
divergence_threshold: null |
|
check_on_train_epoch_end: null |
|
model_summary: |
|
_target_: lightning.pytorch.callbacks.RichModelSummary |
|
max_depth: -1 |
|
rich_progress_bar: |
|
_target_: lightning.pytorch.callbacks.RichProgressBar |
|
learning_rate_monitor: |
|
_target_: lightning.pytorch.callbacks.LearningRateMonitor |
|
logging_interval: step |
|
logger: null |
|
trainer: |
|
_target_: lightning.pytorch.trainer.Trainer |
|
default_root_dir: ${paths.output_dir} |
|
min_epochs: 10 |
|
max_epochs: 25 |
|
accelerator: gpu |
|
devices: 1 |
|
reload_dataloaders_every_n_epochs: 1 |
|
check_val_every_n_epoch: 1 |
|
log_every_n_steps: 20 |
|
deterministic: false |
|
paths: |
|
root_dir: ${oc.env:PROJECT_ROOT} |
|
data_dir: ${paths.root_dir}/datasets/ |
|
log_dir: ${paths.root_dir}/logs/ |
|
output_dir: ${hydra:runtime.output_dir} |
|
work_dir: ${hydra:runtime.cwd} |
|
extras: |
|
ignore_warnings: false |
|
enforce_tags: true |
|
print_config: true |
|
|
