Enhance input processing by moving tensors to the model's device and converting to the appropriate dtype

detect-objects.py

@@ -233,7 +233,15 @@ def process_batch(
             images=pil_images,
             text=class_names,  # All class names as prompts
             return_tensors="pt",
-        ).to(model.device)
+        )
+        # Move to device and convert to model's dtype
+        inputs = {
+            k: v.to(
+                model.device,
+                dtype=model.dtype if v.dtype.is_floating_point else v.dtype,
+            )
+            for k, v in inputs.items()
+        }
 
         with torch.no_grad():
             outputs = model(**inputs)