clean up

app.py

@@ -80,15 +80,13 @@ def streaming_object_detection(recording_id: str, img):
         outputs = model(**inputs)
 
     # convert outputs (bounding boxes and class logits) to COCO API
-    # let's only keep detections with score > 0.9
-
+    # let's only keep detections with score > 0.85
     height, width = img.shape[:2]
     target_sizes = torch.tensor([[height, width]])  # [height, width] order
     results = processor.post_process_object_detection(
-        outputs, target_sizes=target_sizes, threshold=0.9
+        outputs, target_sizes=target_sizes, threshold=0.85
     )[0]
 
-    print(results)
     rec.log(
         "image/objects",
         rr.Boxes2D(