Update Scoliosis1K dataset

opengait/evaluation/evaluator.py

@@ -425,7 +425,7 @@ def evaluate_scoliosis(data, dataset, metric='euc'):
     class_id = np.array(class_id)
 
     # Update class_id with integer labels based on status
-    class_id_int = np.array([1 if status == 'positive' else 2 if status == 'critical' else 0 for status in class_id])
+    class_id_int = np.array([1 if status == 'positive' else 2 if status == 'neutral' else 0 for status in class_id])
     print('class_id=', class_id_int)
 
     features = np.array(feature)

opengait/modeling/models/sconet.py

@@ -18,7 +18,7 @@ class ScoNet(BaseModel):
     def forward(self, inputs):
         ipts, labs, class_id, _, seqL = inputs
 
-        class_id_int = np.array([1 if status == 'positive' else 2 if status == 'critical' else 0 for status in class_id])
+        class_id_int = np.array([1 if status == 'positive' else 2 if status == 'neutral' else 0 for status in class_id])
         class_id = torch.tensor(class_id_int).cuda()
 
         sils = ipts[0]