Python package for differentiable rasterization of gaussians

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jgkerr from gravatar.com jgkerr Avatar for ruilongli from gravatar.com ruilongli Avatar for vye16 from gravatar.com vye16

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Tags gaussian, splatting, cuda
  • Requires: Python >=3.7

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jgkerr from gravatar.com jgkerr Avatar for ruilongli from gravatar.com ruilongli Avatar for vye16 from gravatar.com vye16

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Tags gaussian, splatting, cuda
  • Requires: Python >=3.7

Release history Release notifications | RSS feed

1.4.0

1.3.0

1.2.0

1.1.1

1.1.0

1.0.0

0.1.13

0.1.12

0.1.11

0.1.10

This version

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2.1

0.1.1

0.1.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gsplat-0.1.9.tar.gz (4.4 MB view details)

Uploaded Source

Built Distribution

gsplat-0.1.9-py3-none-any.whl (6.0 MB view details)

Uploaded Python 3

File details

Details for the file gsplat-0.1.9.tar.gz.

File metadata

  • Download URL: gsplat-0.1.9.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for gsplat-0.1.9.tar.gz
Algorithm Hash digest
SHA256 308ffc3c5ab814c50ca1502b797d9dd9011d138d9485a5c82e2148e656ed2bc9
MD5 909d0e7eee40cb78ac0b3146ddb33afd
BLAKE2b-256 89b9567e06504436039f7ce1a63a694c2b465d1b1b11aa55a0f8e409a0f9b0f3

See more details on using hashes here.

File details

Details for the file gsplat-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: gsplat-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for gsplat-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 cdc8a2d78b5bab47ef1ba6f4074d4bdbc74ae817d69439a456389f5588e9405b
MD5 a8c42fe14310e2e896e2954ea29f1743
BLAKE2b-256 86f84c8526b5851fce0e6d27aa13a4c8265772b63a30798fcb5d3396bb33e8bc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page