How to get TP,TN,FP,FN of TrainCascadeObjectDetector?
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
hello, i used TrainCascadeObjectDetector for training a classifier i want to plot a ROC curve to evalute detector, i need TP , TN , FP , FN, how to get them for each stage of the classification, for exemple this simple training showing for every stage just the pos and neg samples used:
Automatically setting ObjectTrainingSize to [ 32, 87 ]
Using at most 28 of 28 positive samples per stage
Using at most 56 negative samples per stage
Training stage 1 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 1: 1 seconds
Training stage 2 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 2: 0 seconds
Training stage 3 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 3: 1 seconds
Training stage 4 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 4: 1 seconds
Training stage 5 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 5: 1 seconds
Training stage 6 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 6: 1 seconds
Training stage 7 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 7: 1 seconds
Training stage 8 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 8: 5 seconds
Training stage 9 of 16
[........................................................................]
Used 28 positive and 56 negative samples
Time to train stage 9: 11 seconds
Training stage 10 of 16
[........................................................................]
Used 28 positive and 22 negative samples
Time to train stage 10: 9 seconds
Training stage 11 of 16
[........................................................................]
Used 28 positive and 22 negative samples
Time to train stage 11: 9 seconds
Training stage 12 of 16
[........................................................................]
Used 28 positive and 13 negative samples
Time to train stage 12: 9 seconds
Training stage 13 of 16
[........................................................................]
Used 28 positive and 7 negative samples
Time to train stage 13: 9 seconds
Training stage 14 of 16
[........................................................................]
Used 28 positive and 8 negative samples
Time to train stage 14: 10 seconds
.
.
.
In other words, how to keep track of these values TP TN FP FN for each stage?
0 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!