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Training is not convergent! #108

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JentMan opened this issue Jan 9, 2019 · 2 comments
Open

Training is not convergent! #108

JentMan opened this issue Jan 9, 2019 · 2 comments

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@JentMan
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JentMan commented Jan 9, 2019

hi,I used the nature scene pictures to train the textboxes++ model, but in the training, the mbox_loss
changes between 1 and 4, I feel it is so big, so what i can do to reduce the mbox_loss?

@MhLiao
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MhLiao commented Jan 22, 2019

Some suggestions
(1) Check your ground truth. Ensure that the ground truth of the images is correct.
(2) Adjust your batch size and learning rate. Empirically, a larger batch size or smaller learning rate may be helpful.
(3) Turn off the random crop data augmentation if the above two suggestions do not help.

@JentMan
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JentMan commented Jan 28, 2019

@MhLiao, Did you adopt the random crop data augmentation method in your training code? I don't do that for my data set alone. If I want to detect chinese text line, can you recommend some data set to me?

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