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.gitattributes CHANGED
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config.toml ADDED
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+ experiment_name = "unet_global_padding_nov_4"
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+ base_dir = "/exports/csce/eddie/eng/groups/DunnGroup/matthew/models_gelgenie"
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+
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+ [processing]
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+ base_hardware = "EDDIE"
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+ device = "GPU"
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+ pe = 1
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+ memory = 64
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+
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+ [data]
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+ n_channels = 1
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+ batch_size = 2
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+ num_workers = 1
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+ val_percent = 10
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+ dir_train_mask = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/neb_ladders/masks",]
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+ dir_train_img = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/neb_ladders/images",]
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+ dir_val_img = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/neb_ladders/val_images",]
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+ dir_val_mask = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/neb_ladders/val_masks",]
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+ split_training_dataset = false
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+ apply_augmentations = true
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+ padding = true
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+ individual_padding = false
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+ weak_augmentations = false
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+
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+ [model]
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+ model_name = "smp_unet"
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+ classes = 2
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+ in_channels = 1
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+ encoder_name = "resnet18"
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+
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+ [training]
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+ loss = [ "dice", "crossentropy",]
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+ loss_component_weighting = [ 1, 1,]
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+ class_loss_weighting = false
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+ class_loss_weight_damper = [ 1.0, 1.0,]
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+ lr = 0.0001
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+ epochs = 600
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+ grad_scaler = true
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+ load_checkpoint = false
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+ optimizer_type = "adam"
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+ scheduler_type = "CosineAnnealingWarmRestarts"
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+ save_checkpoint = true
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+ checkpoint_frequency = 1
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+ wandb_track = true
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+ model_cleanup_frequency = 20
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+ wandb_id = "2ogdvood"
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+
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+ [training.scheduler_specs]
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+ restart_period = 100
model_structure.txt ADDED
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+ ======================================================================
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+ Layer (type:depth-idx) Param #
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+ ======================================================================
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+ smp_UNet --
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+ ├─ResNetEncoder: 1-1 --
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+ │ └─Conv2d: 2-1 3,136
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+ │ └─BatchNorm2d: 2-2 128
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+ │ └─ReLU: 2-3 --
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+ │ └─MaxPool2d: 2-4 --
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+ │ └─Sequential: 2-5 --
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+ │ │ └─BasicBlock: 3-1 --
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+ │ │ │ └─Conv2d: 4-1 36,864
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+ │ │ │ └─BatchNorm2d: 4-2 128
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+ │ │ │ └─ReLU: 4-3 --
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+ │ │ │ └─Conv2d: 4-4 36,864
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+ │ │ │ └─BatchNorm2d: 4-5 128
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+ │ │ └─BasicBlock: 3-2 --
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+ │ │ │ └─Conv2d: 4-6 36,864
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+ │ │ │ └─BatchNorm2d: 4-7 128
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+ │ │ │ └─ReLU: 4-8 --
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+ │ │ │ └─Conv2d: 4-9 36,864
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+ │ │ │ └─BatchNorm2d: 4-10 128
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+ │ └─Sequential: 2-6 --
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+ │ │ └─BasicBlock: 3-3 --
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+ │ │ │ └─Conv2d: 4-11 73,728
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+ │ │ │ └─BatchNorm2d: 4-12 256
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+ │ │ │ └─ReLU: 4-13 --
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+ │ │ │ └─Conv2d: 4-14 147,456
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+ │ │ │ └─BatchNorm2d: 4-15 256
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+ │ │ │ └─Sequential: 4-16 --
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+ │ │ │ │ └─Conv2d: 5-1 8,192
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+ │ │ │ │ └─BatchNorm2d: 5-2 256
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+ │ │ └─BasicBlock: 3-4 --
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+ │ │ │ └─Conv2d: 4-17 147,456
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+ │ │ │ └─BatchNorm2d: 4-18 256
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+ │ │ │ └─ReLU: 4-19 --
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+ │ │ │ └─Conv2d: 4-20 147,456
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+ │ │ │ └─BatchNorm2d: 4-21 256
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+ │ └─Sequential: 2-7 --
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+ │ │ └─BasicBlock: 3-5 --
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+ │ │ │ └─Conv2d: 4-22 294,912
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+ │ │ │ └─BatchNorm2d: 4-23 512
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+ │ │ │ └─ReLU: 4-24 --
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+ │ │ │ └─Conv2d: 4-25 589,824
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+ │ │ │ └─BatchNorm2d: 4-26 512
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+ │ │ │ └─Sequential: 4-27 --
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+ │ │ │ │ └─Conv2d: 5-3 32,768
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+ │ │ │ │ └─BatchNorm2d: 5-4 512
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+ │ │ └─BasicBlock: 3-6 --
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+ │ │ │ └─Conv2d: 4-28 589,824
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+ │ │ │ └─BatchNorm2d: 4-29 512
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+ │ │ │ └─ReLU: 4-30 --
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+ │ │ │ └─Conv2d: 4-31 589,824
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+ │ │ │ └─BatchNorm2d: 4-32 512
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+ │ └─Sequential: 2-8 --
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+ │ │ └─BasicBlock: 3-7 --
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+ │ │ │ └─Conv2d: 4-33 1,179,648
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+ │ │ │ └─BatchNorm2d: 4-34 1,024
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+ │ │ │ └─ReLU: 4-35 --
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+ │ │ │ └─Conv2d: 4-36 2,359,296
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+ │ │ │ └─BatchNorm2d: 4-37 1,024
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+ │ │ │ └─Sequential: 4-38 --
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+ │ │ │ │ └─Conv2d: 5-5 131,072
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+ │ │ │ │ └─BatchNorm2d: 5-6 1,024
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+ │ │ └─BasicBlock: 3-8 --
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+ │ │ │ └─Conv2d: 4-39 2,359,296
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+ │ │ │ └─BatchNorm2d: 4-40 1,024
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+ │ │ │ └─ReLU: 4-41 --
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+ │ │ │ └─Conv2d: 4-42 2,359,296
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+ │ │ │ └─BatchNorm2d: 4-43 1,024
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+ ├─UnetDecoder: 1-2 --
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+ │ └─Identity: 2-9 --
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+ │ └─ModuleList: 2-10 --
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+ │ │ └─DecoderBlock: 3-9 --
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+ │ │ │ └─Conv2dReLU: 4-44 --
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+ │ │ │ │ └─Conv2d: 5-7 1,769,472
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+ │ │ │ │ └─BatchNorm2d: 5-8 512
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+ │ │ │ │ └─ReLU: 5-9 --
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+ │ │ │ └─Attention: 4-45 --
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+ │ │ │ │ └─Conv2d: 5-11 589,824
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+ │ │ │ │ └─BatchNorm2d: 5-12 512
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+ │ │ �� │ └─ReLU: 5-13 --
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+ │ │ │ └─Attention: 4-47 --
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+ │ │ │ │ └─Conv2d: 5-15 442,368
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+ │ │ │ │ └─BatchNorm2d: 5-16 256
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+ │ │ │ │ └─ReLU: 5-17 --
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+ │ │ │ └─Attention: 4-49 --
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+ │ │ │ │ └─Identity: 5-18 --
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+ │ │ │ └─Conv2dReLU: 4-50 --
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+ │ │ │ │ └─Conv2d: 5-19 147,456
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+ │ │ │ │ └─BatchNorm2d: 5-20 256
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+ │ │ │ │ └─ReLU: 5-21 --
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+ │ │ │ └─Attention: 4-51 --
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+ │ │ │ │ └─Identity: 5-22 --
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+ │ │ └─DecoderBlock: 3-11 --
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+ │ │ │ └─Conv2dReLU: 4-52 --
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+ │ │ │ │ └─Conv2d: 5-23 110,592
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+ │ │ │ │ └─BatchNorm2d: 5-24 128
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+ │ │ │ │ └─ReLU: 5-25 --
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+ │ │ │ └─Attention: 4-53 --
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+ │ │ │ │ └─Identity: 5-26 --
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+ │ │ │ └─Conv2dReLU: 4-54 --
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+ │ │ │ │ └─Conv2d: 5-27 36,864
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+ │ │ │ │ └─BatchNorm2d: 5-28 128
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+ │ │ │ │ └─ReLU: 5-29 --
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+ │ │ │ └─Attention: 4-55 --
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+ │ │ │ │ └─Identity: 5-30 --
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+ │ │ └─DecoderBlock: 3-12 --
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+ │ │ │ └─Conv2dReLU: 4-56 --
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+ │ │ │ │ └─Conv2d: 5-31 36,864
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+ │ │ │ │ └─BatchNorm2d: 5-32 64
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+ │ │ │ │ └─ReLU: 5-33 --
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+ │ │ │ └─Attention: 4-57 --
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+ │ │ │ │ └─Identity: 5-34 --
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+ │ │ │ └─Conv2dReLU: 4-58 --
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+ │ │ │ │ └─Conv2d: 5-35 9,216
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+ │ │ │ │ └─BatchNorm2d: 5-36 64
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+ │ │ │ │ └─ReLU: 5-37 --
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+ │ │ │ └─Attention: 4-59 --
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+ │ │ │ │ └─Identity: 5-38 --
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+ │ │ └─DecoderBlock: 3-13 --
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+ │ │ │ └─Conv2dReLU: 4-60 --
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+ │ │ │ │ └─Conv2d: 5-39 4,608
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+ │ │ │ │ └─BatchNorm2d: 5-40 32
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+ │ │ │ │ └─ReLU: 5-41 --
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+ │ │ │ └─Attention: 4-61 --
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+ │ │ │ │ └─Identity: 5-42 --
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+ │ │ │ └─Conv2dReLU: 4-62 --
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+ │ │ │ │ └─Conv2d: 5-43 2,304
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+ │ │ │ │ └─BatchNorm2d: 5-44 32
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+ │ │ │ │ └─ReLU: 5-45 --
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+ │ │ │ └─Attention: 4-63 --
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+ │ │ │ │ └─Identity: 5-46 --
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+ ├─SegmentationHead: 1-3 --
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+ │ └─Identity: 2-12 --
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+ │ └─Activation: 2-13 --
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+ │ │ └─Identity: 3-14 --
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+ ======================================================================
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+ Total params: 14,322,082
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+ Trainable params: 14,322,082
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+ Non-trainable params: 0
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+ ======================================================================
model_summary.txt ADDED
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+ Model Summary
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+ ┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓
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+ ┃ Parameter ┃ Value ┃
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+ ┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩
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+ │ Network │ smp_unet │
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+ │ Trainable Parameters │ 14322082 │
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+ │ Output channels │ 2 │
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+ └──────────────────────┴──────────┘
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