Delete cdxformer.py

cdxformer.py

@@ -1,77 +0,0 @@
-net = 'CDXFormer'
-######################## base_config #########################
-epoch = 200
-gpus = [0]
-save_top_k = 1
-save_last = True
-check_val_every_n_epoch = 1
-logging_interval = 'epoch'
-resume_ckpt_path = None
-monitor_val = 'val_change_f1'
-monitor_test = ['test_change_f1']
-argmax = True
-
-test_ckpt_path = "work_dirs/CLCD_BS4_epoch200/CDXFormer/version_0/ckpts/test/test_change_f1/test_change_f1=0.9289-epoch=2.ckpt"
-
-exp_name = 'WHUCD_epoch200{}/{}'.format(epoch, net)
-
-######################## dataset_config ######################
-_base_ = [
-    './_base_/WHUCD_config.py',
-]
-num_class = 2
-ignore_index = 255
-
-######################### model_config #########################
-model_config = dict(
-        backbone = dict(
-            type = 'Base',
-            name = 'Seaformer',
-        ),
-        decoderhead = dict(
-            type = 'CDXLSTM',
-            channels = [64, 128, 192, 256]
-        )
-    )
-loss_config = dict(
-    type = 'myLoss',
-    loss_name = ['FocalLoss', 'dice_loss'],
-    loss_weight = [0.5, 0.5],
-    param = dict(
-        FocalLoss = dict(
-            gamma=0, 
-            alpha=None
-        ),
-        dice_loss = dict(
-            eps=1e-7
-        )
-    )
-)
-
-######################## optimizer_config ######################
-optimizer_config = dict(
-    optimizer = dict(
-        type = 'SGD',
-        lr = 0.05,
-        momentum=0.9,
-        weight_decay = 5e-5,
-        lr_mode = "single"
-    ),
-    scheduler = dict(
-        type = 'step',
-        step_size = 100,
-        gamma = 0.1
-    )
-)
-
-metric_cfg1 = dict(
-    task = 'multiclass',
-    average='micro',
-    num_classes = num_class, 
-)
-
-metric_cfg2 = dict(
-    task = 'multiclass',
-    average='none',
-    num_classes = num_class, 
-)