Optionally only detect specific objects

set-detect-notify/__main__.py

@@ -67,6 +67,14 @@ def main():
         help="The confidence threshold to use",
     )
 
+    argparser.add_argument(
+        "--detect-object",
+        nargs="*",
+        default=[],
+        type=str,
+        help="The object(s) to detect. Must be something the model is trained to detect",
+    )
+
     stream_source = argparser.add_mutually_exclusive_group()
     stream_source.add_argument(
         "--url",
@@ -176,8 +184,13 @@ def main():
                         # "first_detection_time": None,
                         "last_notification_time": None,
                     }
+                # Also, make sure that the objects to detect are in the list of object_names
+                # If it isn't, print a warning
+                for obj in args.detect_object:
+                    if obj not in object_names:
+                        print(f"Warning: {obj} is not in the list of objects the model can detect!")
+                    
             for box in r.boxes:
-        
                 # Get the name of the object
                 class_id = r.names[box.cls[0].item()]
                 # Get the coordinates of the object
@@ -192,8 +205,10 @@ def main():
                 # print("---")
 
                 # Now do stuff (if conf > 0.5)
-                if conf < args.confidence_threshold:
+                if conf < args.confidence_threshold or (class_id not in args.detect_object and args.detect_object != []):
-                    # If the confidence is less than 0.5, then SKIP!!!!
+                    # If the confidence is too low
+                    # or if the object is not in the list of objects to detect and the list of objects to detect is not empty
+                    # then skip this iteration
                     continue