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mm_unet_s1s2.json

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+{"experiment_name": "md_mmunet_S1S2_mobilenet_v2_modalitydropout", "seed": 42, "model_params": {"model_folder": "/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/models/", "model_version": "v1", "hyperparameters": {"max_tile_size": 256, "metric_monitor": "val_dice_loss", "channel_configuration": {"S1": {"used": true, "channel_configuration": "vh/vv"}, "S2": {"used": true, "channel_configuration": "bgriswirs"}}, "label_names": ["land", "water"], "weight_per_class": [1.93445299, 10], "model_type": "md_mmunet", "encoder": "mobilenet_v2", "num_classes": 2, "max_epochs": 20, "val_every": 1, "lr": 0.0001, "lr_decay": 0.5, "lr_patience": 3, "early_stopping_patience": 6, "attention": false, "num_channels": {"S1": 2, "S2": 6}}, "train": true, "test": false, "weight_per_class": [0.12342170045449015, 0.8765782995455098], "normalization": {"mean": {"S1": [-12.672623634338379, -20.651826858520508], "S2": [1091.6708984375, 999.8798217773438, 968.8703002929688, 2005.2158203125, 1923.3369140625, 1241.5242919921875]}, "std": {"S1": [6.107601642608643, 8.471637725830078], "S2": [275.3205871582031, 353.46099853515625, 585.6177978515625, 929.5694580078125, 1056.81201171875, 839.3709106445312]}}}, "data_params": {"loader_type": "local", "num_workers": 4, "filter_windows": {"version": "water", "threshold_clouds": 0.01, "apply": true}, "get_class_weight": true, "get_norm_from_dataset": true, "path_to_splits": "/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/", "train_test_split_file": "/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/s1s2water_split.json", "input_folder": ["S1", "S2"], "target_folder": "gtwater", "batch_size": 25, "window_size": [256, 256], "channel_configuration": {"S1": {"used": true, "channel_configuration": "vh/vv"}, "S2": {"used": true, "channel_configuration": "bgriswirs"}}, "train_transformation": {"normalize": true}, "test_transformation": {"normalize": false}}, "resume_from_checkpoint": false, "gpus": 1, "wandb_entity": "kipoju", "wandb_project": "s1s2water"}

mm_unet_s1s2.pt

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sm_unet_s1.json

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+{"experiment_name": "unet_S1_mobilenet_v2_kurosiwo+s1s2water", "seed": 42, "model_params": {"model_folder": "/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/models/", "model_version": "v1", "hyperparameters": {"max_tile_size": 256, "metric_monitor": "val_dice_loss", "channel_configuration": {"S1": {"used": true, "channel_configuration": "vh/vv"}, "S2": {"used": false, "channel_configuration": "bgriswirs"}}, "label_names": ["land", "water"], "weight_per_class": [1.93445299, 10], "model_type": "unet", "encoder": "mobilenet_v2", "num_classes": 2, "max_epochs": 10, "val_every": 1, "lr": 0.0001, "lr_decay": 0.5, "lr_patience": 2, "early_stopping_patience": 4, "attention": false, "num_channels": {"S1": 2, "S2": 6}}, "train": true, "test": false, "weight_per_class": [0.11842466101101785, 0.8815753389889821], "normalization": {"mean": {"S1": [-17.284093856811523, -11.007352828979492], "S2": [3758.07470703125, 3238.08251953125, 3418.9013671875, 3981.962646484375, 2391.6611328125, 1790.324951171875]}, "std": {"S1": [6.7165303230285645, 5.614103317260742], "S2": [2794.095703125, 2549.494140625, 2811.781005859375, 2500.478759765625, 1500.025390625, 1241.9818115234375]}}}, "data_params": {"loader_type": "local", "num_workers": 12, "filter_windows": {"version": "valid", "threshold_clouds": 0.75, "apply": true}, "get_class_weight": true, "get_norm_from_dataset": false, "path_to_splits": ["/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/", "/media/disk/databases/SAR_Flood_Datasets/KuroSiwo30/wflike/"], "train_test_split_file": ["/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/s1s2water_split.json", "/media/disk/databases/SAR_Flood_Datasets/KuroSiwo30/wflike/split_kuro.json"], "custom_multidataset_config": {"weight": [0.3, 0.7], "len": 10000, "apply": false}, "input_folder": ["S1"], "target_folder": "gtwater", "batch_size": 32, "window_size": [256, 256], "channel_configuration": {"S1": {"used": true, "channel_configuration": "vh/vv"}, "S2": {"used": false, "channel_configuration": "bgriswirs"}}, "train_transformation": {"normalize": true}, "test_transformation": {"normalize": false}}, "resume_from_checkpoint": false, "gpus": 1, "wandb_entity": "kipoju", "wandb_project": "s1s2water"}

sm_unet_s1.pt

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sm_unet_s2.json

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+{"experiment_name": "unet_S2_mobilenet_v2_wf+s1s2water", "seed": 42, "model_params": {"model_folder": "/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/models/", "model_version": "v1", "hyperparameters": {"max_tile_size": 256, "metric_monitor": "val_dice_loss", "channel_configuration": {"S1": {"used": false, "channel_configuration": "vh/vv"}, "S2": {"used": true, "channel_configuration": "bgriswirs"}}, "label_names": ["land", "water"], "weight_per_class": [1.93445299, 10], "model_type": "unet", "encoder": "mobilenet_v2", "num_classes": 2, "max_epochs": 10, "val_every": 1, "lr": 0.0001, "lr_decay": 0.5, "lr_patience": 2, "early_stopping_patience": 4, "attention": false, "num_channels": {"S1": 2, "S2": 6}}, "train": true, "test": false, "weight_per_class": [0.12853228689583665, 0.8714677131041634], "normalization": {"mean": {"S1": [-17.284093856811523, -11.007352828979492], "S2": [3758.07470703125, 3238.08251953125, 3418.9013671875, 3981.962646484375, 2391.6611328125, 1790.324951171875]}, "std": {"S1": [6.7165303230285645, 5.614103317260742], "S2": [2794.095703125, 2549.494140625, 2811.781005859375, 2500.478759765625, 1500.025390625, 1241.9818115234375]}}}, "data_params": {"loader_type": "local", "num_workers": 12, "filter_windows": {"version": "valid", "threshold_clouds": 0.75, "apply": true}, "get_class_weight": true, "get_norm_from_dataset": false, "path_to_splits": ["/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/", "/media/disk/databases/WORLDFLOODS/2_Mart/worldfloods_extra_v3_0_optic/"], "train_test_split_file": ["/media/disk/databases/SAR_Flood_Datasets/S1S2WATER/wflike/s1s2water_split.json", "/media/disk/databases/WORLDFLOODS/2_Mart/worldfloods_extra_v3_0_optic/split_worldfloods_optic.json"], "custom_multidataset_config": {"weight": [0.3, 0.7], "len": 10000, "apply": false}, "input_folder": ["S2"], "target_folder": "gtwater", "batch_size": 64, "window_size": [256, 256], "channel_configuration": {"S1": {"used": false, "channel_configuration": "vh/vv"}, "S2": {"used": true, "channel_configuration": "bgriswirs"}}, "train_transformation": {"normalize": true}, "test_transformation": {"normalize": false}}, "resume_from_checkpoint": false, "gpus": 1, "wandb_entity": "kipoju", "wandb_project": "s1s2water"}

sm_unet_s2.pt

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