changed the imgsize on warmup to meet the grayscale for prediction

2023-08-24 10:51:30 +02:00
parent 833d864689
commit d221ace5a3
1 changed files with 1 additions and 1 deletions
--- a/ultralytics/nn/autobackend.py
+++ b/ultralytics/nn/autobackend.py
@ -445,7 +445,7 @@ class AutoBackend(nn.Module):
         """
        return torch.tensor(x).to(self.device) if isinstance(x, np.ndarray) else x

-    def warmup(self, imgsz=(1, 3, 640, 640)):
+    def warmup(self, imgsz=(1, 1, 640, 640)):
        """
        Warm up the model by running one forward pass with a dummy input.