flipbook 0.9.50

Starts a simple image server that lets you quickly flip through image files from a local directory using your web browser and optionally answering customizable questions about each one

FlipBook

This tool starts a simple image server that lets you quickly flip through image files from a local directory using your web browser. Also, it optionally shows a customizable form where you can take notes or answer questions about each image or set of images.

Example uses:

• manual curation / review of sequencing data visualization images such as those generated by REViewer for short tandem repeat loci
• machine learning training set creation
• reviewing a pile of photos

Features:

• simple way to flip through many local image files using your web browser
• crawls a top-level directory to find .png, .jpeg, or .svg image files
• web interface: home page lists all images
• web interface: image pages show the image, an optional customizable form where you can take notes or answer questions about the image, next/previous page links, and optional other customizable info for context
• use subdirectories to group images. Any images found in the same subdirectory will be shown on the same page

---

Install:

python3 -m pip install flipbook  

Run:

python3 -m flipbook    # start server for all images in the current directory and subdirectories

Below are more examples. Run with --help to see all available options and their descriptions.

python3 -m flipbook -x temp -x keyword2  /path/dir-with-images    #  -x are keyword(s) of paths to skip and /path/dir-with-images is the top level dir to search instead of the current dir

python3 -m flipbook -t /path/user_responses.xls    #  change where user responses get saved (default: flipbook_form_responses.tsv)

python3 -m flipbook -m /path/metadata.tsv          #  provide a metadata table 

After the server is running, open your web browser to http://localhost:8080 to start reviewing images.

Options:

• metadata table (-m)

  It's often useful to add extra info to the image pages to help with review - such as image descriptions, quality scores, etc. To enable this, there are several ways to specify arbitrary key-value pairs to add to specific image pages. The 1st way is to put a file called flipbook_metadata.json next to the image(s). All keys and values from this file will appear on that image page. The 2nd way is to use -m to pass in a metadata table (.tsv or .xls) with a Path column + arbitrary other columns. If the Path value matches the relative directory containing the image(s), entries from that row will be added to this image page.

  Since the keys and values are treated as html, they can be used to add more complex info - such as colors, text formatting, <img ..> tags with images from other web pages, iframes containing entire sections of external pages, etc.

• responses table (-t)

  As you fill in the forms at the top of the image pages, the responses are written to this table. If you later restart flipbook with the same -t, it will reload previous responses. You can also optionally use this table to provide additional columns to display - sometimes this can be more convenient than using -m.

  Default: flipbook_form_responses.tsv

• custom form schema (--form-schema-json)

  If you'd like to use non-default questions in the image page forms, you can specify the path or url of a .json file containing a custom form schema. For examples of the expected format see main/form_schema_examples

• config file (~/.flipbook_config)

  Most settings that can be provided on the command line can also be set via this YAML config file instead. For example:

  ~/.flipbook_config

  form-schema-json: /path/to/my-schema.json
  hide-metadata-on-home-page: true
  host: 127.0.0.1
  port: 8080
  

For more details, run:

python3 -m flipbook --help

Comparing reviews:

If 2 or more people review the same images, the reviews can be compared using the compare_form_response_tables script.

For example:

python3 -m compare_form_response_tables egor_flipbook_form_responses.tsv  ben_flipbook_form_responses.tsv -o combined_responses.tsv -s1 egor -s2 ben

This script will print concordance stats, and output a combined_responses.tsv table that contains one image per row as well as each person's review of the image.

To see the full list of args and descriptions, run python3 -m compare_form_response_tables --help

Development:

To create a local dev instance, run

git clone [e-mail]:broadinstitute/flipbook.git
cd flipbook

# start server in dev mode so it reloads code on change
python3 -m flipbook /path/dir-with-images --dev-mode