Update app.py

app.py

@@ -16,7 +16,7 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 processor = Owlv2Processor.from_pretrained("google/owlv2-base-patch16")
 model = Owlv2ForObjectDetection.from_pretrained("google/owlv2-base-patch16").to(device)
 
-@spaces.GPU(duration=120)
+@spaces.GPU(duration=200)
 def process_video(video_path, target, progress=gr.Progress()):
     if video_path is None:
         return None, None, "Error: No video uploaded"
@@ -64,7 +64,7 @@ def process_video(video_path, target, progress=gr.Progress()):
         boxes, scores, labels = results[0]["boxes"], results[0]["scores"], results[0]["labels"]
 
         for box, score, label in zip(boxes, scores, labels):
-            if score.item() >= 0.25:
+            if score.item() >= 0.5:
                 box = [round(i, 2) for i in box.tolist()]
                 object_label = target
                 confidence = round(score.item(), 3)