PyPI page
Author:
Philipe Borba
License:
GPL
Summary:
Image segmentation models training of popular architectures.
Latest version:
1.4.0
Required dependencies:
albumentations
|
bidict
|
click
|
colorama
|
cython
|
descartes
|
fastapi
|
geoalchemy2
|
geopandas
|
h3
|
httpx
|
hydra-core
|
kornia
|
matplotlib
|
multiprocess
|
ninja
|
numba
|
numpy
|
opencv-python-headless
|
optuna
|
pandas
|
pillow
|
plotly
|
psycopg2-binary
|
pycocotools
|
pydantic-settings
|
pyogrio
|
python-multipart
|
pytorch-lightning
|
pytorch-toolbelt
|
pyyaml
|
rasterio
|
rtree
|
ruamel-yaml
|
sahi
|
scikit-image
|
scikit-learn
|
scipy
|
seaborn
|
segmentation-models-pytorch
|
shapely
|
similaritymeasures
|
skan
|
swifter
|
tensorboardx
|
torch
|
torchmetrics
|
torchvision
|
tqdm
|
typing-extensions
|
uvicorn
|
wget
Optional dependencies:
coverage
|
cucim-cu12
|
cuml-cu12
|
cupy-cuda12x
|
earthengine-api
|
flake8
|
parameterized
|
peft
|
pydensecrf
|
pygco
|
pytest
|
pytest-cov
|
pytest-timeout
|
pytest-xdist
|
timm
|
transformers
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