autoconvert tensor rt engine from onnx to specific CUDA gpu

Azaion.Inference/annotation.pyx

@@ -32,12 +32,12 @@ cdef class Annotation:
             d.annotation_name = self.name
         self.image = b''
 
-    cdef to_str(self, class_names):
+    def __str__(self):
         if not self.detections:
             return f"{self.name}: No detections"
 
         detections_str = ", ".join(
-            f"{class_names[d.cls]} {d.confidence * 100:.1f}% ({d.x:.2f}, {d.y:.2f})"
+            f"class: {d.cls} {d.confidence * 100:.1f}% ({d.x:.2f}, {d.y:.2f})"
             for d in self.detections
         )
         return f"{self.name}: {detections_str}"