Faster_RCNN_for_Open_Images_Dataset_Keras
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no mAP score
I tried training using my own custom dataset, everything seems fine until I check the record.csv file. Why are the mAP values zero? I followed everything from the program, am I missing something? Thanks!
may i\i ask if you changed something in the code? I'm trying to train my own custom dataset too but the total loss result going upsait down
may i\i ask if you changed something in the code? I'm trying to train my own custom dataset too but the total loss result going upsait down
I didn't change anything! I simply follow the whole code. I'm not really sure about the solution to your problem, maybe check the program again from the start?
thanx
Hello @aliyyahna! Did you find out why the mAP was zero? I face the same problem.
Because the code simply writes 0 for mAP calculation and go... It's not something calculated. So it's not important but it would be nice how to calculate mAP and write the real value...
new_row = {'mean_overlapping_bboxes':round(mean_overlapping_bboxes, 3), 'class_acc':round(class_acc, 3), 'loss_rpn_cls':round(loss_rpn_cls, 3), 'loss_rpn_regr':round(loss_rpn_regr, 3), 'loss_class_cls':round(loss_class_cls, 3), 'loss_class_regr':round(loss_class_regr, 3), 'curr_loss':round(curr_loss, 3), 'elapsed_time':round(elapsed_time, 3), 'mAP': 0}