ultralytics 8.0.195 NVIDIA Triton Inference Server support (#5257)

Co-authored-by: TheConstant3 <46416203+TheConstant3@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/engine/model.py

@@ -81,6 +81,12 @@ class Model(nn.Module):
             self.session = HUBTrainingSession(model)
             model = self.session.model_file
 
+        # Check if Triton Server model
+        elif self.is_triton_model(model):
+            self.model = model
+            self.task = task
+            return
+
         # Load or create new YOLO model
         suffix = Path(model).suffix
         if not suffix and Path(model).stem in GITHUB_ASSETS_STEMS:
@@ -94,6 +100,13 @@ class Model(nn.Module):
         """Calls the 'predict' function with given arguments to perform object detection."""
         return self.predict(source, stream, **kwargs)
 
+    @staticmethod
+    def is_triton_model(model):
+        """Is model a Triton Server URL string, i.e. <scheme>://<netloc>/<endpoint>/<task_name>"""
+        from urllib.parse import urlsplit
+        url = urlsplit(model)
+        return url.netloc and url.path and url.scheme in {'http', 'grfc'}
+
     @staticmethod
     def is_hub_model(model):
         """Check if the provided model is a HUB model."""