Issue in Meanshift while training on 16 bit, 1 channel tiff images?

[ahanagemini]

Meanshift assumes 3 channels and so the code needs to be re-written for 1 channel? Also, the default RGB mean values are around 0.4 for each channel. This seems to indicate that data should be in the range 0-1. However, from the code, it seems that the data is in the range of 0-255. If so, then how are the means so small?

[HaolyShiit]

I think it should be: out = (in - mean * 255) / sigma, according to author's codes, if input images are at 0 ~ 255. So the final range is -(mean * 255) ~ +(255 - mean * 255), roughly at -127~+127.

[ahanagemini]

I see. So, that part of the code should be modified/ corrected?

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On Thu, 26 Mar 2020 at 07:02, haodejun ***@***.***> wrote: I think it should be: out = (in - mean * 255) / sigma, according to author's codes, if input images are at 0255. So the final range is -(mean * 255) ~ +(255 - mean * 255), roughly at -127+127. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#257 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADTJUXLRP7BXSEILUGW3I3LRJMY3DANCNFSM4LTEUWHQ> .