Change unclear statement: trace_freq to track_intvl

configs/config_EF_AC_Szada.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_EF_AC_Tiszadob.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_EF_OSCD.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_base.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamconc_AC_Szada.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamconc_AC_Tiszadob.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamconc_OSCD.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamdiff_AC_Szada.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamdiff_AC_Tiszadob.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

configs/config_siamdiff_OSCD.yaml

@@ -24,7 +24,7 @@ resume: ''
 load_optim: True
 save_optim: True
 anew: False
-trace_freq: 1
+track_intvl: 1
 device: cuda
 metrics: 'F1Score+Accuracy+Recall+Precision'
 

src/core/trainers.py

@@ -33,7 +33,7 @@ class Trainer:
         self.lr = float(context.lr)
         self.save = context.save_on or context.out_dir
         self.out_dir = context.out_dir
-        self.trace_freq = int(context.trace_freq)
+        self.track_intvl = int(context.track_intvl)
         self.device = torch.device(context.device)
         self.suffix_off = context.suffix_off
 
@@ -188,7 +188,7 @@ class Trainer:
         } 
         # Save history
         history_path = self.path('weight', constants.CKP_COUNTED.format(e=epoch), underline=True)
-        if epoch % self.trace_freq == 0:
+        if epoch % self.track_intvl == 0:
             torch.save(state, history_path)
         # Save latest
         latest_path = self.path(

src/train.py

@@ -67,7 +67,7 @@ def parse_args():
                         help='path to latest checkpoint')
     group_train.add_argument('--anew', action='store_true',
                         help='clear history and start from epoch 0 with the checkpoint loaded')
-    group_train.add_argument('--trace-freq', type=int, default=50)
+    group_train.add_argument('--track_intvl', type=int, default=50)
     group_train.add_argument('--device', type=str, default='cpu')
     group_train.add_argument('--metrics', type=str, default='F1Score+Accuracy+Recall+Precision')