new nc=len(names) check

train.py

@@ -76,7 +76,7 @@ def train(hyp):
         os.remove(f)
 
     # Create model
-    model = Model(opt.cfg, nc=data_dict['nc']).to(device)
+    model = Model(opt.cfg, nc=nc).to(device)
 
     # Image sizes
     gs = int(max(model.stride))  # grid size (max stride)
@@ -177,7 +177,7 @@ def train(hyp):
     model.hyp = hyp  # attach hyperparameters to model
     model.gr = 1.0  # giou loss ratio (obj_loss = 1.0 or giou)
     model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device)  # attach class weights
-    model.names = data_dict['names']
+    model.names = names
 
     # Class frequency
     labels = np.concatenate(dataset.labels, 0)