hi, authors,
I have several questions about tusimple evaluation logic.
It seems that the evaluation logic doesn't consider whether the prediction and ground truth match with each other, or just default prediction and gt match with each other.
when using pt_thresh=0.85 to calculate num of matched, it seems that the evaluation logic only consider the max(accs) among the lines in single image. As shown in the below:
max_acc = np.max(accs) if len(accs) > 0 else 0if max_acc < LaneEval.pt_thresh:fn += 1else: matched += 1
The above are all my questions, I am looking forward to your reply.
hi, authors, I have several questions about tusimple evaluation logic.
It seems that the evaluation logic doesn't consider whether the prediction and ground truth match with each other, or just default prediction and gt match with each other.
when using pt_thresh=0.85 to calculate num of matched, it seems that the evaluation logic only consider the max(accs) among the lines in single image. As shown in the below:
max_acc = np.max(accs) if len(accs) > 0 else 0if max_acc < LaneEval.pt_thresh:fn += 1else:matched += 1The above are all my questions, I am looking forward to your reply.
Best, Max