PaddleDetection
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How to train high resolution images?
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Training high resolution images, such as 19201080, to detect target object size is basically the same size (300300) , how to adjust the parameters training.
Is the problem about GPU memory or model accuracy?
- If it is about GPU memory, just set lower
batch_size
and adjust thelearning rate
. - If it is about model accuracy, in my opinion, the 300*300 size seems well. But you can still refer this config, which is to deal with the small size object and trained with a large input image size.