A CLI tool to add iNaturalist taxonomy metadata to local observation photos
Project description
Naturtag
Naturtag is a tool for tagging local observation photos with iNaturalist taxonomy & observation metadata. This includes a command-line interface, a graphical interface, and can also be used as a python package.
Contents
Use Cases
The purpose of this is to take some of the useful information from your own iNaturalist observations and embed it in your local photo collection.
Metadata for local photo organization
If you like the way you can search and filter your observations on iNaturalist.org and its mobile apps, and you wish you could do that with your local photos, naturtag can help. It can tag your photos with hierarchical keywords, which can then be used in a photo viewer or DAM such as Lightroom, FastPictureViewer, or XnViewMP.
Metadata for photo hosting
Naturtag can also simplify tagging photos for photo hosting sites like Flickr. For that use case, this tool generates keywords in the same format as iNaturalist's Flickr Tagger.
Metadata for other biodiversity tools
Finally, naturtag can improve interoperability with other tools and systems that interact with biodiversity data. For example, in addition to iNaturalist you may submit observations of certain species to another biodiversity observation platform with a more specific focus, such as eBird, BugGuide, or Mushroom Observer. For that use case, this tool supports Simple Darwin Core.
Development Status
See Issues for planned features and current progress.
If you have any suggestions, questions, or requests, please create an issue, or ping me (@jcook) on the iNaturalist Community Forum.
This is currently just a small hobby project, and still fairly unpolished. All the features described below are functional, however, and plenty more are planned. I am intermittently working on this while maintaining a number of other libraries that are (or will be) used in Naturtag.
Python Package
See naturtag documentation on ReadTheDocs for details on the python package, which lets you use most of naturtag's features in your own scripts or applications.
Generic iNaturalist data access features that aren't specific to naturtag are contributed upstream to pyinaturalist.
CLI
CLI Installation
Install the latest stable version with pip:
pip install naturtag
Or, if you would like to use the latest development version:
pip install --pre naturtag
To run on python 3.7, you will also need the
importlib-metadata
backport:
pip install importlib-metadata
For python 3.8+, this is included in the standard library.
CLI Usage
This package provides the command naturtag
, also aliased to nt
.
Usage: naturtag [OPTIONS] [IMAGES]...
Get taxonomy tags from an iNaturalist observation or taxon, and write them
either to the console or to local image metadata.
Options:
-c, --common-names Include common names for all ranks that have them
-d, --darwin-core Generate Darwin Core metadata
-f, --flickr-format Output tags in a Flickr-compatible format
-h, --hierarchical Generate pipe-delimited hierarchical keywords
-o, --observation TEXT Observation ID or URL
-t, --taxon TEXT Taxon ID or URL
-x, --create-xmp Create XMP sidecar file if it doesn't already exist
-v, --verbose Show additional information
--help Show this message and exit.
Species & Observation IDs
Either a species or observation may be specified, either by ID or URL. For example, all the following options will fetch the same taxonomy metadata:
naturtag -t 48978
naturtag -t https://www.inaturalist.org/taxa/48978-Dirona-picta
naturtag -o 45524803
naturtag -o https://www.inaturalist.org/observations/45524803
The difference is that specifying a species (-t, --taxon
) will fetch only
taxonomy metadata, while specifying an observation (-o, --observation
)
will fetch taxonomy plus observation metadata.
Species Search
You may also search for species by name, for example naturtag -t cardinal
.
If there are multiple results, you will be prompted to choose from the top 10 search results:
Images
Multiple paths are supported, as well as glob patterns, for example:
0001.jpg IMG*.jpg ~/observations/**.jpg
If no images are specified, the generated keywords will be printed.
Keywords
Keywords will be generated in the format:
taxonomy:{rank}={name}
DarwinCore
If an observation is specified, DwC metadata will also be generated, in the
form of XMP tags. Among other things, this includes taxonomy tags in the
format:
dwc:{rank}="{name}"
Sidecar Files
By default, XMP tags will be written to a sidecar file if it already exists.
Use the -x
option to create a new one if it doesn't exist.
Hierarchical Keywords
If specified (-h
), hierarchical keywords will be generated. These will be
interpreted as a tree structure by image viewers that support them.
For example, the following keywords:
Animalia
Animalia|Arthropoda
Animalia|Arthropoda|Chelicerata
Animalia|Arthropoda|Hexapoda
Will translate into the following tree structure:
Animalia
┗━Arthropoda
┣━Chelicerata
┗━Hexapoda
Examples
Just generate keywords from a taxon, without writing to a file:
$ naturtag -ct 48978
Fetching taxon 48978
12 parent taxa found
22 keywords generated
taxonomy:kingdom=Animalia
taxonomy:phylum=Mollusca
taxonomy:class=Gastropoda
taxonomy:subclass=Heterobranchia
taxonomy:infraclass=Euthyneura
taxonomy:subterclass=Ringipleura
taxonomy:superorder=Nudipleura
taxonomy:order=Nudibranchia
taxonomy:suborder=Cladobranchia
taxonomy:superfamily=Proctonotoidea
taxonomy:family=Dironidae
taxonomy:genus=Dirona
"taxonomy:species=Dirona picta"
Animals
Molluscs
Gastropods
"Heterobranch Gastropods"
"Euthyneuran Gastropods"
"Nudipleuran Slugs"
Nudibranchs
"Colorful Dirona"
inaturalist:taxon_id=48978
Generate both keywords and DarwinCore metadata for an observation, and write to two images and one XMP sidecar:
$ naturtag -co 45524803 img00001.jpg img00002.jpg
Fetching observation 45524803
Fetching taxon 48978
12 parent taxa found
23 keywords generated
Getting darwincore terms for observation 45524803
Writing 39 tags to img00001.jpg
Writing 37 tags to img00001.xmp
Writing 39 tags to img00002.jpg
No existing XMP sidecar file found for img00002.jpg; skipping
See example of XMP metadata generated by this command.
GUI
This project also includes a graphical frontend, although it's very early in development.
GUI Installation
My goal is to get this packaged into more convenient platform-specific builds
(a .exe
build for Windows, for example), but for now it can take a bit of work to get the GUI
up and running. If you are interested in trying this out and you run into issues, please let me
know and I can help.
To install:
pip install naturtag[ui]
Some additional dependencies are required on Windows:
pip install naturtag[ui-win]
To launch, run:
python -m naturtag.ui
GUI Usage
Image Selection and Tagging
The basic UI components are shown below:
- Drag & drop images or folders into the window.
- Or, select files via the file browser on the right
- Enter an iNaturalist observation ID or taxon ID (iNaturalist URLs also work here)
- Click the 'Run' button in the lower-left to tag the selected images
Other things to do:
- Middle-click an image to remove it
- Right-click an image for a context menu with more actions
- See Metadata for more details
Species Search
In the likely event that you don't already know the taxon ID, click the 'Find a Species' button to go to the taxon search screen. You can start with searching by name, with autocompletion support:
You can also run a full search using the additional filters. For example, to search for plants and fungi with 'goose' in either the species or genus name:
Saved Species
The additional tabs on the taxon screen contain:
- History of recently viewed taxa
- Most frequently viewed taxa
- Starred taxa
To save a particular taxon for future reference, click the ✩ icon in the top left of its info panel, and it will be saved in the ★ tab. These items can be re-ordered via Right-click -> Move to top. (Unfortunately, drag-and-drop functionality is not currently possible for list items).
Metadata
Right-click an image and select Copy Flickr tags to copy keyword tags compatible with Flickr.
Also, a very simple metadata view is included. To open it, Right-click an image and select View metadata.
Settings
There are also some settings to customize the metadata that your images will be tagged with, as well as iNaturalist info used in search filters. And yes, there is a dark mode, because why not.
See CLI Usage for more details on these settings.
Keyboard Shortcuts
Some keyboard shortcuts are included for convenience:
Key(s) | Action | Screen |
---|---|---|
F11 | Toggle fullscreen | All |
Ctrl+O | Open file chooser | Image selection |
Shift+Ctrl+O | Open file chooser (dirs) | Image selection |
Ctrl+Enter | Run image tagger | Image selection |
Ctrl+Enter | Run taxon search | Taxon search |
Shift+Ctrl+X | Clear selected images | Image selection |
Shift+Ctrl+X | Clear search filters | Taxon search |
Ctrl+S | Open settings screen | All |
Ctrl+Backspace | Return to main screen | All |
Ctrl+Q | Quit | All |
See Also
- For generating keyword collections, see the related tool
taxon-keyword-gen
. - This project uses
pyinaturalist
, a python API client for iNaturalist. Refer to that project for more data access tools.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file naturtag-0.6.1.tar.gz
.
File metadata
- Download URL: naturtag-0.6.1.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.0a1 CPython/3.9.5 Linux/5.4.0-1048-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 362cf4a9f400033a83b97d56b34c529cbd70519b38006f80a65e67eb95a4399e |
|
MD5 | 9e7c0d353685d655a32a4731c1bfdae2 |
|
BLAKE2b-256 | b6717782eb68c9947f9de45f677e1d9354ce4bfa5fe801b2be032959f6e38fda |
File details
Details for the file naturtag-0.6.1-py3-none-any.whl
.
File metadata
- Download URL: naturtag-0.6.1-py3-none-any.whl
- Upload date:
- Size: 79.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.0a1 CPython/3.9.5 Linux/5.4.0-1048-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e403664a794cc765cdc579df463d534a9e6f11f8ff5234c13a41dc9804039d95 |
|
MD5 | 7556f33c84753ef50d399db9f6d671c2 |
|
BLAKE2b-256 | d8d5df5eb81837e19179a5e056a191f31cebaf9d6804c21495dae9aec1fd679e |