Create a hand drawn vector animation.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
Ruben van de Ven 47837fa9eb
change README title
5 months ago
app Add parse_offsets utility script 5 months ago
files move with right btn, add fullscreen btn, index 12 months ago
log move with right btn, add fullscreen btn, index 12 months ago
.dockerignore Run in docker 11 months ago
.gitignore ignore python .pyc files 12 months ago
.python-version Rough draft for drawing 1 year ago
Dockerfile Change dockerfile for faster builds. Incl. ffmpeg 8 months ago
LICENSE Expand Readme and add LICENSE file 5 months ago
README.md change README title 5 months ago
diagramming-apache-site.example.conf add example apache config 5 months ago
docker-compose.yml update compose to listen to localhost only 11 months ago
poetry.lock PNG output option for images 7 months ago
pyproject.toml PNG output option for images 7 months ago

README.md

Annotated Vector Drawing Animations

Getting StartedUsageLicenseCreditsCitation

This software allows for drawings to be made and played back in a time-based format. Additionally, it contains tools to create excerpts of the drawings and browse these segments by annotation.

This software was developed in light of a research project in which we used it in an interview setting. Asking speakers not just to speak, but to draw the entities they mention and the relations between them. This adds a visual layer on top of the audio.

For more information on the rationale behind developing this tool, see the citation section.

Getting Started

These instructions will give you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on deploying the project on a live system.

Prerequisites

The easiest way to run svganim is with docker-compose. Alternatively you can choose set up your own python environment. If you do so, ffmpeg is required.

Installation

  • git clone this repository.
  • cd into the folder and run docker-compose build
  • docker-compose up -d
  • Docker should now expose the service at port 7890. Edit docker-compose.yml to change this.

Update

  • git pull the new revision
  • rerun docker-compose build to rebuild the image
  • rerun docker-compose up -d to restart the container

Deployment

The server is best exposed through a proxy. An example Apache configuration file is included.

Usage

When the service runs, open it using your browser. The first page shows three options:

  • Tags -- Manage a set of tags for annotating.
  • Drawings -- All recorded drawings to be played back and annotated (or removed).
  • Draw -- start drawing a diagram.

Drawing

  • By default, the drawing page gives four colour options. Select the desired colour on the left.

  • The big 'Fullscreen' button puts the canvas in fullscreen. To exit, use the escape key.

  • The drawing will be recorded from the moment the pen touches the canvas.

  • When you stop drawing (ie. close the tab or browser) you can recover the drawing by going to 'Drawings' and select 'Draw' at the drawing you want to continue.

    • NOTE Please note that when continuing a drawing, the intermediate time is not captured. Ie. the last stroke of the first drawing, will be immediately followed by the first stroke from the second drawing.
  • A pen display such as a Wacom or Huion is recommended but not at all required.

Annotating

  • Before annotating, make sure to configure your initial tags on the tags page (URL/index)
  • [optional] Add audio
    • add an audio recording of the conversation to files/audio. Note that a wav file can be quite slow as everything goes through a browser. So possibly convert wav to mp3 or ogg.
    • Open the drawing in the interface URL/annotate.html. Hover the title on the top left, and select the audio file from the pull down.
    • Use the Offset parameter to align the audio to the drawing (number in seconds).
      • NOTE The diagram starts recoding on the first stroke. Often the audio file starts before the drawing. This requires a negative offset.
  • The title of the drawing can be set and changed by clicking on it.
  • To annotate, select an in and out point using the bar below the drawing.
    • Alternatively, in and out point can be set to the playhead i and o keys.
    • When the in or out point is selected, it can be moved wit the arrow keys, or page up/down for larger increments.
    • To precisely enter a timecode, click the time label of the point to type it.
  • Then click the desired tag from the overview on the left.
    • Creating an annotation, immediately deselects it, and sets the selected area to the time after annotation.
  • Click an annotation to select it
    • Use the textbox at the bottom to add a comment. This will be visible in the tags index page.
    • After selecting an annotation, click it again to deselect. Alternatively, use the esc key.
      • Deselecting an annotation sets the selected area to the time after it.

Tags

With the tags interface you can manage a nested set of tags and manage the annotated segments. In our workflow, we had annotated the interviews, but tweaked the terms to create interesting subsets of drawings.

  • To create a nested tag, select a tag, and an 'add tag' option will appear.
  • Double-click the title to rename.
  • Use the bucket icon to remove a tag.
  • Click the coloured square to tweak the colour.
  • In the overview of excerpts, use the checkboxes to change the tags in batch.
  • Clicking an excerpt plays it back.

Export as video?

There is no integrated a way to export the excerpts to a video file. The easiest way to do so however is to make a screen capture of a part of your display.

E.g. on Linux: set the pulse default input device to the monitor of the speakers. Then use wf-recorder: wf-recorder -g"$(slurp)" -a -f recording.mp4

Notes

The parse_offsets.py script can be used to pad the diagram in order to sync it with the audio. This is necessary eg. after a network failure. It works by adding a line with the required offset to the .json_appendable-file. It dumps the output to the terminal. So use it with a redirect. E.g. python parse_offsets.py -i faulty_file.json_appendable > new_file.json_appendable.

License

This code is made available under the MIT license. For details see LICENSE.

Credits

This software uses (and for ease of use, redistributes) the noUiSlider and wnumb javascript libraries, developed by Léon Gersen. Also using the MIT License.

Citation

van de Ven, Ruben, and Ildikó Zonga Plájás 2022. Inconsistent Projections: Con-figuring Security Vision Through Diagramming [Manuscript submitted for publication].