Install this package:
emerge -a dev-python/scikit-image
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-python/scikit-image
Or alternatively:
emerge --autounmask-write -a dev-python/scikit-image
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.26.0-r1 | 8 | ~amd64 ~arm64 ~x86 | 0 |
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
This SciKit (toolkit for SciPy) includes useful image processing
algorithms for use with Python and NumPy. While SciPy’s ndimage
provides low-level manipulation, scikits.image centres around
algorithms and applications.
</longdescription>
<upstream>
<remote-id type="pypi">scikit-image</remote-id>
<remote-id type="github">scikit-image/scikit-image</remote-id>
</upstream>
</pkgmetadata>
| Type | File | Size | Versions |
|---|
| Type | File | Size |
|---|---|---|
| DIST | scikit-image-data-5c090b56df3988d988ff97928e2ef2d2cbe38e1b.tar.bz2 | 156723295 bytes |
| DIST | scikit_image-0.26.0.tar.gz | 22729739 bytes |
| DIST | scikit_image-0.26.0.tar.gz.provenance | 9692 bytes |