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sbb_pixelwise_segmentation/config_params.json

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{
"backbone_type" : "transformer",
"task": "binarization",
"n_classes" : 2,
"n_epochs" : 1,
"input_height" : 224,
"input_width" : 672,
"weight_decay" : 1e-6,
"n_batch" : 1,
"learning_rate": 1e-4,
"patches" : true,
"pretraining" : true,
"augmentation" : false,
"flip_aug" : false,
"blur_aug" : false,
"scaling" : true,
"degrading": false,
"brightening": false,
"binarization" : false,
"scaling_bluring" : false,
"scaling_binarization" : false,
"scaling_flip" : false,
"rotation": false,
"rotation_not_90": false,
"transformer_num_patches_xy": [7, 7],
"transformer_patchsize_x": 3,
"transformer_patchsize_y": 1,
"transformer_projection_dim": 192,
"blur_k" : ["blur","guass","median"],
"scales" : [0.6, 0.7, 0.8, 0.9, 1.1, 1.2, 1.4],
"brightness" : [1.3, 1.5, 1.7, 2],
"degrade_scales" : [0.2, 0.4],
"flip_index" : [0, 1, -1],
"thetha" : [10, -10],
"continue_training": false,
"index_start" : 0,
"dir_of_start_model" : " ",
"weighted_loss": false,
"is_loss_soft_dice": false,
"data_is_provided": false,
"dir_train": "/home/vahid/Documents/test/training_data_sample_binarization",
"dir_eval": "/home/vahid/Documents/test/eval",
"dir_output": "/home/vahid/Documents/test/out"
}