Colour VS doccano

Colour Science is one of the more serious projects I know of, and more or less lets you get as advanced as you want. Used by film professionals among others. https://www.colour-science.org/

How would you define what the perfect color tool is? I would guess like most tools that it depends entirely on the job at hand, and that maybe no one perfect tool can exist. Colour Science might be great at serious color management and perceptual measurements and conversions between standardized color spaces, but not the right tool for a web developer looking for quick & easy way to make an HSV palette generation widget (and not because Colour Science is Python, but because it’s too big and heavy of a hammer).

If you're using a DCI-P3 (wide-gamut HDR) display, then #0000ff (or #aaaaff) in that display's colour space will be emitted as more saturated blue light than what an sRGB display is capable of. I am not sure if you will perceive them as exactly equally bright, brightness is subjective and depends on the reaction of your retina to the light hitting it, which is why #0000ff (blue) appears darker than #00ff00 (green), however the objective energy of the emitted light should be equal between displays of different gamuts, i.e. #ff0000, #00ff00, #0000ff should all result in the same amount of light being emitted in every correctly calibrated display regardless of the RGB primaries (aka gamut) it uses. The whole colour space topic is pretty deep, if you want to learn more about it and how colours are represented and converted between spaces, I encourage you to go and check out https://www.colour-science.org/ and linked resources.

People that work on resolve also work on https://github.com/colour-science/colour which is most REFERENCE code and complete support there is.

I haven’t seen the math for the conversion but the conversion from CCT to xy/uv are given for a particular domain. One of the conversion with the largest domain, i.e. Ohno m, covers domain [1000K, 100000K]: https://github.com/colour-science/colour/blob/develop/colour...

Infinity is very much in extrapolation territory.

I did a little digging and it's this one https://github.com/colour-science/colour/issues/666

Huh?

I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.

My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.

Pytorch is open source, Huggingface is open source. CUDA isn't. This is

https://labelstud.io/

and for annotating text spans there are so many open source tools

https://github.com/doccano/doccano

I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.

I followed the guide to have doccano https://github.com/doccano/doccano setup in a notebook server in Kubeflow. It is running and the django connection is established, but it fails to connect with my localmachine so when I try to open the link, it does not respond. Is there a way to connect apps running on remove notebook servers to local in Kubeflow?

Why not just use the docker instructions on the GitHub page? https://github.com/doccano/doccano

doccano is built on a Django backend though I believe it uses extensive front end code for the annotation UI.

I worked at a place where we developed a system for doing this kind of tagging but it was for making training sets and there was no expectation that you could export the document from the system for normal use.

Quite a few NLP annotation systems are out there

https://prodi.gy/

https://brat.nlplab.org/

https://doccano.herokuapp.com/