I was experimenting a bit with custom made dual illuminant DCP profiles (COVID-19 lockdown you know…) using the following link :
[https://rawpedia.rawtherapee.com/How_to_create_DCP_color_profiles#Creating_DCP_profiles_using_DCamProf](http://How to Create DCP Color Profiles)
I have gotten satisfying results in my testing but while I was compiling the DCP I have noticed that the last lines of code in the DCP’s provided with NLP are slightly different :
<ToneCurve Size="2"> <Element N="0" h="0.000000" v="0.000000"/> <Element N="1" h="1.000000" v="1.000000"/> </ToneCurve> <ProfileCalibrationSignature>com.adobe</ProfileCalibrationSignature> <UniqueCameraModelRestriction>Fujifilm X-E3</UniqueCameraModelRestriction> <ProfileLookTableEncoding>0</ProfileLookTableEncoding> <BaselineExposureOffset>0.000000</BaselineExposureOffset> <DefaultBlackRender>1</DefaultBlackRender>
So my first question is, out of curiosity, how are you generating the DCP distributed with NLP ?
And second, what would be the recommended workflow/tool in order to create custom made DCP that are tailored for NLP ?
Last question : What is the BW settings used, or the master profile used when switching to BW ?