Going somewhere with a glass of wine.

dodgeballtracker/logic.py

@@ -10,7 +10,7 @@ import numpy as np
 import pandas as pd
 import pandera as pa
 from boxmot import DeepOcSort as DeepOCSORT
-from .typing import VideoFrame, DetectedObject_, TrackedDetectedObject_
+from .typing import VideoFrame, DetectedObject_, TrackedDetectedObject
 
 logger = logging.getLogger(__name__)
 
@@ -112,7 +112,8 @@ class DodgeballTracker:
         model_outputs = model(frame)[0]
         boxes = model_outputs.boxes.data.cpu().numpy()
         columns=['xmin', 'ymin', 'xmax', 'ymax', 'score', 'category']
-        return pd.DataFrame(boxes, columns=columns)
+        ret = pd.DataFrame(boxes, columns=columns)
+        return ret
 
     def persist_points(self):
         with open(self.output_json_path, "wt") as file_:
@@ -129,9 +130,9 @@ class DodgeballTracker:
         """
         load the pre-trained YOLOv8n model
         """
-        return YOLO("yolo11n.pt", verbose=True)
+        return YOLO("yolo11n.pt", verbose=False)
 
-    @pa.check_io(detected_objs=DetectedObject_, out=TrackedDetectedObject_)
+    @pa.check_io(detected_objs=DetectedObject_, out=TrackedDetectedObject)
     def update_tracker(self, tracker: DeepOCSORT, detected_objs: pd.DataFrame, frame: VideoFrame):
         data_ = tracker.update(detected_objs.to_numpy(), frame)
         columns = ['xmin', 'ymin', 'xmax', 'ymax', 'object_id', 'score', 'category', 'index']