The article mentions:
(...)
We trained four models: one pan-European model trained on all training blocks (six in total, two from each country), and three biome-specific models for boreal, temperate, and Mediterranean forests separately (trained on two blocks of data from the relevant biome)
(...)
which gives the assumption that both the pan-European model and the three biome-specific variants would be included to allow users to choose the most appropriate model for their application.
The readme.md has in its content:
Model Selection
Within the model folder, we have biome-specific as well as more general ecosystem-agnostic models.
Although after pulling the repo (I have the git-lfs preinstalled), only the eu.pth archive is downloaded. Should there be any other files available? - or is there any other parameter which I did not find?
The example running line from the manual has a parameter --model, and uses eu.pth.
python3 predict.py --point-cloud /x/x/cloud.ply --model eu.pth --batch_size 16 --is-wood 0.55 --grid_size 2.0 --min_pts 512;
The manual does not provide any information about extracting the eu.pth file, which suggests an inconsistency in the data availability.
The article mentions:
(...)
We trained four models: one pan-European model trained on all training blocks (six in total, two from each country), and three biome-specific models for boreal, temperate, and Mediterranean forests separately (trained on two blocks of data from the relevant biome)
(...)
which gives the assumption that both the pan-European model and the three biome-specific variants would be included to allow users to choose the most appropriate model for their application.
The readme.md has in its content:
Model Selection
Within the model folder, we have biome-specific as well as more general ecosystem-agnostic models.
Although after pulling the repo (I have the git-lfs preinstalled), only the eu.pth archive is downloaded. Should there be any other files available? - or is there any other parameter which I did not find?
The example running line from the manual has a parameter --model, and uses eu.pth.
python3 predict.py --point-cloud /x/x/cloud.ply --model eu.pth --batch_size 16 --is-wood 0.55 --grid_size 2.0 --min_pts 512;The manual does not provide any information about extracting the eu.pth file, which suggests an inconsistency in the data availability.