Package · PyPI

dlr-moge

PyPI · v2.0.0 · MIT

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

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Install

pip install dlr-moge

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.51
DerivedRelease cadence and recency, 0 to 1
Releases per year
365
1 version over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v2.0.0
1 version
First published
JUN 17, 2026
Last release
JUN 17, 2026
4mo ago
Licence
MIT

Repository

In the Crest catalog

microsoft/MoGe

[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Stars
3K
Forks
241
Language
JavaScript
Last push
45d ago
Last release
None recorded

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v2.0.0

Runtime 13

  • clickAny version
  • dlr-pipeline==1.0.0
  • dlr-utils3d==1.3
  • gradioAny version
  • huggingface_hubAny version
  • matplotlibAny version
  • numpyAny version
  • opencv-pythonAny version
  • pillowAny version
  • scipyAny version
  • torch>=2.0.0
  • torchvisionAny version
  • trimeshAny version

Related news

No published news event mentions this package or its repository yet.