Skip to main content

PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pytorch3d-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl (566.6 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pytorch3d-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl (600.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

pytorch3d-0.6.1-cp37-cp37m-macosx_10_9_x86_64.whl (599.2 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

pytorch3d-0.6.1-cp36-cp36m-macosx_10_9_x86_64.whl (599.2 kB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file pytorch3d-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pytorch3d-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 566.6 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.8

File hashes

Hashes for pytorch3d-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 58fb1cfadd213b839a8c075e7d25e5ac7bee7248b80e93a8b31038e291d946d7
MD5 9c0a93b03d8bd79a3c1de7cb16a028b6
BLAKE2b-256 0107761dd6490a1cb6d3922f54e0863acca896fe961ec7ca21ed5af3a5d3cd7d

See more details on using hashes here.

File details

Details for the file pytorch3d-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pytorch3d-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 600.7 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.8

File hashes

Hashes for pytorch3d-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 87437e99c978944ba264dfc1a402e183e3a38bf9dae110e9909306507e797e61
MD5 6c9ecb45e6a39e212860e7fb8bfb9262
BLAKE2b-256 a0bc999e1e0641d56a81fc53f06e484078498d778651d286f15f36fb0ad4063b

See more details on using hashes here.

File details

Details for the file pytorch3d-0.6.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pytorch3d-0.6.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 599.2 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.8

File hashes

Hashes for pytorch3d-0.6.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 75e665012e018e35e942adb7ebce26f03bf3ad1c1443ba6e777b07737c3194c9
MD5 fb677bf641d6c71f5a87482d9b6fbd05
BLAKE2b-256 dee29ffe97b77f6b42c45894fb7a4661005bd4d3d21574807eaf821dcedc6588

See more details on using hashes here.

File details

Details for the file pytorch3d-0.6.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pytorch3d-0.6.1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 599.2 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.8

File hashes

Hashes for pytorch3d-0.6.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1f65de8235c77213915b180fc604a2ed7a78288a40b658e097eb0a4317d70a94
MD5 84eebb27bdabf9c3f199c31c1e01797d
BLAKE2b-256 90d578a438d28d8e491357231d10ce9e1069a1ac2b6698a7bdad41730f5ecc51

See more details on using hashes here.

Supported by

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