Updated stride value

app.py

@@ -46,7 +46,7 @@ def inference(input_img, conf_thres, iou_thres):
     seen, windows, dt = 0, [], (Profile(), Profile(), Profile())
 
     with dt[0]:
-        im = letterbox(input_img, imgsz, stride=32, auto=True)[0]  # padded resize
+        im = letterbox(input_img, imgsz, stride=stride, auto=True)[0]  # padded resize
         im = im.transpose((2, 0, 1))[::-1]
         im = torch.from_numpy(im).to(model.device)
         im = im.half() if model.fp16 else im.float()  # uint8 to fp16/32