How to convert sfsNet SH to shtools？

[cccml]

Hello, I extracted 27 dimension SH coefficients from sfsNet ( 9 dimension for each channel of RGB), I see you provide the "convert code", but the output dimension is still 27, your network input is 9 dimension. Can you show me a code example of how to convert？Thank you so much！！！！！！

[xuefeng-li-sydney]

Hello, I extracted 27 dimension SH coefficients from sfsNet ( 9 dimension for each channel of RGB), I see you provide the "convert code", but the output dimension is still 27, your network input is 9 dimension. Can you show me a code example of how to convert？Thank you so much！！！！！！

Did you solve this?

[zhhoper]

Actually, you can convert the RGB image to gray scale and use SfSNet to predict the SH of gray scale lighting.

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On Wed, May 18, 2022 at 12:43 AM Xuefeng Li ***@***.***> wrote: Hello, I extracted 27 dimension SH coefficients from sfsNet ( 9 dimension for each channel of RGB), I see you provide the "convert code", but the output dimension is still 27, your network input is 9 dimension. Can you show me a code example of how to convert？Thank you so much！！！！！！ Did you solve this? — Reply to this email directly, view it on GitHub <#20 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AA4HJSI3COEPFAHVLOAX42DVKR7PNANCNFSM5KZQ4WBQ> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

-- Zhou Hao ***@***.*** ***@***.***> ****************************************

[xuefeng-li-sydney]

Actually, you can convert the RGB image to gray scale and use SfSNet to predict the SH of gray scale lighting.
…
On Wed, May 18, 2022 at 12:43 AM Xuefeng Li @.> wrote: Hello, I extracted 27 dimension SH coefficients from sfsNet ( 9 dimension for each channel of RGB), I see you provide the "convert code", but the output dimension is still 27, your network input is 9 dimension. Can you show me a code example of how to convert？Thank you so much！！！！！！ Did you solve this? — Reply to this email directly, view it on GitHub <#20 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AA4HJSI3COEPFAHVLOAX42DVKR7PNANCNFSM5KZQ4WBQ . You are receiving this because you are subscribed to this thread.Message ID: @.>
-- Zhou Hao @.*** @.***> ****************************************

Thanks for you quick reply!