Captures insect counts on sticky traps by image analysis
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Sticky traps are sheets of plastic or paper that attract and trap insects. Such traps are mostly used to assess the presence and numbers of insects, rather than as a control measure. Example applications include the detection of pest insects in greenhouses. A specific use case that has come up recently in a collaboration between the Louis Bolk Instituut and Naturalis Biodiversity Center is to use these traps to detect and count insects, and their size classes, in meadows. This in order to measure food availability for the chicks of meadow birds.
Previously, this detection and counting was done by hand, by volunteers. However, this is labour intensive and therefore not very scalable. To remedy this, we have developed an image analysis application. The application can be run on the web, but this requires manual uploads of images. Better still would be to be able to do this in batches, so that dozens or hundreds of images can be analyzed in one go. Here we provide this command line tool. It is made available as a Docker container, which means it can be run on a variety of operating systems.
The tool is used, for example, as follows:
docker run \
-v /path/to/infile.yml:/sticky-traps.yml \
-v /path/to/images:/images \
trap-cap > results.tsv
The command consists of the following parts:
/path/to/infile.yml needs to be replaced with the absolute
path to where you have your configuration file. On Windows, this might be something
like C:\trap-cap\infile.yml.*.JPG files
(example). On your
system, the part /path/to/images should be replaced with the absolute path. For
example to C:\trap-cap\images on Windows.trap-cap) and where to write the output. Normally, the output is written to the
console window, but by specifying > results.tsv it is written to a file instead
(example).Content type
Image
Digest
Size
424.1 MB
Last updated
over 7 years ago
docker pull naturalis/trap-cap