If I force prediction to be equal to groud truth, I can't get a F-score of 1.
I add these code before "self.bench" function
pred_lanes = gt_lanes
pred_category = gt_category
However, I get the following result for night case.
===> Evaluation on validation set:
laneline F-measure 0.84169872
laneline Recall 0.99912995
laneline Precision 0.72712661
laneline Category Accuracy 0.99956497
laneline x error (close) 0.0017959209 m
laneline x error (far) 0.003160552 m
laneline z error (close) 0.00084101858 m
laneline z error (far) 0.0027049253 m
If I force prediction to be equal to groud truth, I can't get a F-score of 1.
I add these code before "self.bench" function
However, I get the following result for night case.
===> Evaluation on validation set:
laneline F-measure 0.84169872 laneline Recall 0.99912995 laneline Precision 0.72712661 laneline Category Accuracy 0.99956497 laneline x error (close) 0.0017959209 m laneline x error (far) 0.003160552 m laneline z error (close) 0.00084101858 m laneline z error (far) 0.0027049253 m