turn off half inference mode for consistency

stamp_processing/detector.py

@@ -68,7 +68,7 @@ class StampDetector:
         for origin_images in batches:
             images = [letterbox(x, 640, stride=32)[0] for x in origin_images]  # type: ignore
             images = list(map(self.process_func_, images))
-            tensor = torch.stack(images).half()
+            tensor = torch.stack(images)#.half()
 
             with torch.no_grad():
                 pred = self.model(tensor)[0]