`ultralytics 8.3.39` fix classification validation loss scaling (#17851)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.3.38"
+__version__ = "8.3.39"
 
 import os
 

ultralytics/models/yolo/classify/predict.py

@@ -54,6 +54,6 @@ class ClassificationPredictor(BasePredictor):
             orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)
 
         return [
-            Results(orig_img, path=img_path, names=self.model.names, probs=pred)
+            Results(orig_img, path=img_path, names=self.model.names, probs=pred.softmax(0))
             for pred, orig_img, img_path in zip(preds, orig_imgs, self.batch[0])
         ]

ultralytics/nn/modules/head.py

@@ -296,7 +296,7 @@ class Classify(nn.Module):
         if isinstance(x, list):
             x = torch.cat(x, 1)
         x = self.linear(self.drop(self.pool(self.conv(x)).flatten(1)))
-        return x if self.training else x.softmax(1)
+        return x
 
 
 class WorldDetect(Detect):