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Add model that inputs PlanetScope + Sentinel-2 images. #57

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Oct 23, 2024
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Add model that inputs PlanetScope + Sentinel-2 images. #57

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2 changes: 1 addition & 1 deletion data/maldives_ecosystem_mapping/config_mapbox.json
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Expand Up @@ -62,6 +62,6 @@
},
"tile_store": {
"name": "file",
"root_dir": "tiles"
"root_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/tiles"
}
}
64 changes: 63 additions & 1 deletion data/maldives_ecosystem_mapping/config_planetscope.json
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Expand Up @@ -97,10 +97,72 @@
"time_offset": "-90d"
},
"type": "raster"
},
"sentinel2_with_planet": {
"alias": "sentinel2",
"band_sets": [
{
"bands": [
"B02",
"B03",
"B04",
"B08"
],
"dtype": "uint16",
"format": {
"always_enable_tiling": true,
"name": "geotiff"
},
"zoom_offset": -2
},
{
"bands": [
"B05",
"B06",
"B07",
"B8A",
"B11",
"B12"
],
"dtype": "uint16",
"format": {
"always_enable_tiling": true,
"name": "geotiff"
},
"zoom_offset": -3
},
{
"bands": [
"B01",
"B09",
"B10"
],
"dtype": "uint16",
"format": {
"always_enable_tiling": true,
"name": "geotiff"
},
"zoom_offset": -4
}
],
"data_source": {
"duration": "180d",
"index_cache_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/cache/sentinel2",
"max_time_delta": "1d",
"name": "rslearn.data_sources.gcp_public_data.Sentinel2",
"query_config": {
"max_matches": 6,
"space_mode": "CONTAINS"
},
"sort_by": "cloud_cover",
"time_offset": "-90d",
"use_rtree_index": false
},
"type": "raster"
}
},
"tile_store": {
"name": "file",
"root_dir": "tiles"
"root_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/tiles"
}
}
204 changes: 204 additions & 0 deletions data/maldives_ecosystem_mapping/config_planetscope_plus_sentinel2.yaml
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@@ -0,0 +1,204 @@
model:
class_path: rslp.maldives_ecosystem_mapping.train.CMLightningModule
init_args:
model:
class_path: rslearn.models.multitask.MultiTaskModel
init_args:
encoder:
- class_path: rslearn.models.simple_time_series.SimpleTimeSeries
init_args:
encoder:
class_path: rslearn.models.swin.Swin
init_args:
pretrained: true
output_layers: [1, 3, 5, 7]
input_channels: 17
image_channels: 17
groups: [[0, 1, 2, 3, 4, 5]]
decoders:
segment:
- class_path: rslearn.models.unet.UNetDecoder
init_args:
in_channels: [[4, 128], [8, 256], [16, 512], [32, 1024]]
out_channels: 17
conv_layers_per_resolution: 2
- class_path: rslearn.train.tasks.segmentation.SegmentationHead
lr: 0.0001
plateau: true
plateau_factor: 0.2
plateau_patience: 2
plateau_min_lr: 0
plateau_cooldown: 10
data:
class_path: rslearn.train.data_module.RslearnDataModule
init_args:
path: gcs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20241017/
inputs:
planetscope:
data_type: "raster"
layers: ["planetscope"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
planetscope.1:
data_type: "raster"
layers: ["planetscope.1"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
planetscope.2:
data_type: "raster"
layers: ["planetscope.2"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
planetscope.3:
data_type: "raster"
layers: ["planetscope.3"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
planetscope.4:
data_type: "raster"
layers: ["planetscope.4"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
planetscope.5:
data_type: "raster"
layers: ["planetscope.5"]
bands: ["b01", "b02", "b03", "b04", "b05", "b06", "b07", "b08"]
passthrough: true
sentinel2_0:
data_type: "raster"
layers: ["sentinel2_with_planet"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
sentinel2_1:
data_type: "raster"
layers: ["sentinel2_with_planet.1"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
sentinel2_2:
data_type: "raster"
layers: ["sentinel2_with_planet.2"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
sentinel2_3:
data_type: "raster"
layers: ["sentinel2_with_planet.3"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
sentinel2_4:
data_type: "raster"
layers: ["sentinel2_with_planet.4"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
sentinel2_5:
data_type: "raster"
layers: ["sentinel2_with_planet.5"]
bands: ["B04", "B03", "B02", "B05", "B06", "B07", "B08", "B11", "B12"]
passthrough: true
targets:
data_type: "raster"
layers: ["label"]
bands: ["label"]
is_target: true
task:
class_path: rslearn.train.tasks.multi_task.MultiTask
init_args:
tasks:
segment:
class_path: rslearn.train.tasks.segmentation.SegmentationTask
init_args:
num_classes: 17
remap_values: [[0, 1], [0, 255]]
zero_is_invalid: true
metric_kwargs:
average: "micro"
input_mapping:
segment:
targets: "targets"
batch_size: 8
num_workers: 32
default_config:
transforms:
- class_path: rslearn.train.transforms.concatenate.Concatenate
init_args:
selections:
planetscope: []
sentinel2_0: []
planetscope.1: []
sentinel2_1: []
planetscope.2: []
sentinel2_2: []
planetscope.3: []
sentinel2_3: []
planetscope.4: []
sentinel2_4: []
planetscope.5: []
sentinel2_5: []
output_selector: image
- class_path: rslearn.train.transforms.normalize.Normalize
init_args:
mean: 0
std: 255
train_config:
patch_size: 128
transforms:
- class_path: rslearn.train.transforms.concatenate.Concatenate
init_args:
selections:
planetscope: []
sentinel2_0: []
planetscope.1: []
sentinel2_1: []
planetscope.2: []
sentinel2_2: []
planetscope.3: []
sentinel2_3: []
planetscope.4: []
sentinel2_4: []
planetscope.5: []
sentinel2_5: []
output_selector: image
- class_path: rslearn.train.transforms.normalize.Normalize
init_args:
mean: 0
std: 255
- class_path: rslearn.train.transforms.flip.Flip
init_args:
image_selectors: ["image", "target/segment/classes", "target/segment/valid"]
groups: ["crops_planetscope"]
tags:
split: train
val_config:
patch_size: 128
groups: ["crops_planetscope"]
tags:
split: val
test_config:
patch_size: 128
groups: ["crops_planetscope"]
tags:
split: val
predict_config:
groups: ["images_planetscope"]
load_all_patches: true
skip_targets: true
patch_size: 512
trainer:
max_epochs: 500
callbacks:
- class_path: lightning.pytorch.callbacks.LearningRateMonitor
init_args:
logging_interval: "epoch"
- class_path: rslearn.train.prediction_writer.RslearnWriter
init_args:
path: gcs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20241017/
output_layer: output
selector: ["segment"]
- class_path: lightning.pytorch.callbacks.ModelCheckpoint
init_args:
save_top_k: 1
every_n_epochs: 50
save_last: true
monitor: val_segment/accuracy
mode: max
rslp_project: maldives_ecosystem_mapping
rslp_experiment: planetscope_plus_sentinel2_data_20241017_satlaspretrain_flip_crop128_00
4 changes: 2 additions & 2 deletions data/maldives_ecosystem_mapping/config_sentinel2.json
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Expand Up @@ -77,7 +77,7 @@
],
"data_source": {
"duration": "180d",
"index_cache_dir": "cache/sentinel2",
"index_cache_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/cache/sentinel2",
"max_time_delta": "1d",
"name": "rslearn.data_sources.gcp_public_data.Sentinel2",
"query_config": {
Expand All @@ -93,6 +93,6 @@
},
"tile_store": {
"name": "file",
"root_dir": "tiles"
"root_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/tiles"
}
}
2 changes: 1 addition & 1 deletion data/maldives_ecosystem_mapping/config_skysat.json
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Expand Up @@ -124,6 +124,6 @@
},
"tile_store": {
"name": "file",
"root_dir": "tiles"
"root_dir": "gs://rslearn-eai/datasets/maldives_ecosystem_mapping/dataset_v1/20240924/tiles"
}
}
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