How to achieve good results in a test image that is much larger than the size of the training image? #234
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ASpeiser
zhangshenhe
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How to achieve good results in a test image that is much larger than the size of the training image?
#234
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Your work uses image training at 40 × 40 resolution, but the final biological image is much larger than this size, how did you achieve good results on test images that are much larger than the size of the training image?Are large images cropped and predicted separately?Thank you. |
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Answered by
ASpeiser
Apr 29, 2024
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Hey, the network is fully convolutional so the size during training and inference don't have to match. We tested that training on small crops works best. |
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Hey, the network is fully convolutional so the size during training and inference don't have to match. We tested that training on small crops works best.