In the 'ucf_dataloader_eval.py' file, specifically from lines 134 to 140, could you explain why only one annotation per video is loaded? I am concerned that this approach might lead to a degradation in performance during model evaluation. The model is trained to detect all actors (annotations) in the video, but if only one annotation is considered during evaluation, it might decrease the Intersection over Union (IoU) and result in lower performance metrics.
In the 'ucf_dataloader_eval.py' file, specifically from lines 134 to 140, could you explain why only one annotation per video is loaded? I am concerned that this approach might lead to a degradation in performance during model evaluation. The model is trained to detect all actors (annotations) in the video, but if only one annotation is considered during evaluation, it might decrease the Intersection over Union (IoU) and result in lower performance metrics.