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Updated documentation #7439

Merged
merged 24 commits into from
Nov 23, 2023
Merged

Updated documentation #7439

merged 24 commits into from
Nov 23, 2023

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hotzenklotz
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@hotzenklotz hotzenklotz commented Nov 14, 2023

PR updates the WK docs:

  • new page for pen tablets / wacom / iPad
  • new page for creating animations
  • content for segment stats
  • re-structuring of the various data source into individual pages
  • several suggestions from gpt4 to various pages. mostly switching sentences from a passive to an active voice
  • small fixes here and there

URL of deployed dev instance (used for testing):

  • https://___.webknossos.xyz

Steps to test:

  • RTFM

DO NOT MERGE WITHOUT WK_LIBS PR


(Please delete unneeded items, merge only when none are left open)


A picture is worth a thousand words. In this spirit, you can use WEBKNOSSOS to create eye-catching animation of your datasets as a video clip. You can use these short movies as part of a presentation, website, for social media or to promote a publication.

// animation video
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TODO

docs/tooling.md Outdated
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Most of these libs are deprecated. Probably not worht having a whole page and take up space in the navbar

@@ -0,0 +1,19 @@
# Animations

A picture is worth a thousand words. In this spirit, you can use WEBKNOSSOS to create eye-catching animation of your datasets as a video clip. You can use these short movies as part of a presentation, website, for social media or to promote a publication.
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Suggested change
A picture is worth a thousand words. In this spirit, you can use WEBKNOSSOS to create eye-catching animation of your datasets as a video clip. You can use these short movies as part of a presentation, website, for social media or to promote a publication.
A picture is worth more than a thousand words. In this spirit, you can use WEBKNOSSOS to create an eye-catching animation of your datasets as a video clip. You can use these short movies as part of a presentation, website, for social media or to promote a publication.

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docs/animations.md Show resolved Hide resolved
docs/dashboard.md Outdated Show resolved Hide resolved
docs/datasets.md Outdated Show resolved Hide resolved
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@hotzenklotz hotzenklotz changed the title WIP: Updated documentation Updated documentation Nov 20, 2023
hotzenklotz and others added 8 commits November 20, 2023 10:27
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
WEBKNOSSOS expects the following file structure for N5 datasets:

```
my_dataset.n5 # One root folder per dataset
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@fm3 @frcroth Is this structure for N5 correct?

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Kinda. Webknossos can explore links to N5 datasets with an attributes.json that contains "multiscales" metadata, which points to the different actual arrays. This corresponds to our "mag" concept.

It can also explore N5 links to individual arrays (like, just one mag)

What you describe here looks more like our "layer" concept, but has nothing with "mags"/"multiscales". Instead, when the user has multiple n5 arrays (that are not just different multiscales/mags), they will have to input their URIs individually in webknossos.

WEBKNOSSOS expects the following file structure for Neuroglancer Precomputed datasets:

```
my_dataset.precomputed # One root folder per dataset
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@fm3 @frcroth Is this structure for Precomputed correct?

hotzenklotz and others added 6 commits November 20, 2023 14:54
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
Co-authored-by: Norman Rzepka <[email protected]>
@hotzenklotz hotzenklotz marked this pull request as ready for review November 20, 2023 14:23
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@normanrz I added the feedback. PR still needs approval

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Looks good. Would be good to clarify the N5 questions, tho.

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Sorry, looks like I never hit “submit” on these comments 🙈


WEBKNOSSOS can read [N5 datasets](https://github.com/saalfeldlab/n5).

!!!info
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I think only with full datasource-properties.json and everything

WEBKNOSSOS expects the following file structure for N5 datasets:

```
my_dataset.n5 # One root folder per dataset
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Kinda. Webknossos can explore links to N5 datasets with an attributes.json that contains "multiscales" metadata, which points to the different actual arrays. This corresponds to our "mag" concept.

It can also explore N5 links to individual arrays (like, just one mag)

What you describe here looks more like our "layer" concept, but has nothing with "mags"/"multiscales". Instead, when the user has multiple n5 arrays (that are not just different multiscales/mags), they will have to input their URIs individually in webknossos.

@hotzenklotz hotzenklotz merged commit de3b349 into master Nov 23, 2023
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@hotzenklotz hotzenklotz deleted the docs_update branch November 23, 2023 12:32
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3 participants