Fix TFLite Segment inference (#13488)

* Fix TFLite Segment inference

* Auto-format by https://ultralytics.com

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

models/common.py

@@ -750,6 +750,9 @@ class DetectMultiBackend(nn.Module):
                         scale, zero_point = output["quantization"]
                         x = (x.astype(np.float32) - zero_point) * scale  # re-scale
                     y.append(x)
+            if len(y) == 2:  # segment with (det, proto) output order reversed
+                if len(y[1].shape) != 4:
+                    y = list(reversed(y))  # should be y = (1, 116, 8400), (1, 160, 160, 32)
             y = [x if isinstance(x, np.ndarray) else x.numpy() for x in y]
             y[0][..., :4] *= [w, h, w, h]  # xywh normalized to pixels