Skip to main content

Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search

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.

coacd-1.0.11-cp39-abi3-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.9+Windows x86-64

coacd-1.0.11-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ x86-64

coacd-1.0.11-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ ARM64

coacd-1.0.11-cp39-abi3-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

File details

Details for the file coacd-1.0.11-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: coacd-1.0.11-cp39-abi3-win_amd64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.9+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for coacd-1.0.11-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 4de22f70d1a3fa8c44698c8006a223fe5fb0ee84b76adecf3726cf2003e9145f
MD5 4d15a5b1fde8280637b238fce6d3f93d
BLAKE2b-256 0083c50472ce98175fddd86d4aba861fea89f30350a5487880b3a81d34915a85

See more details on using hashes here.

File details

Details for the file coacd-1.0.11-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coacd-1.0.11-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a60f700a52e5b40462e508c14bb756cd63ce7e6a95ff72ae0b1592be1dbb0106
MD5 dfe5c39f7da76c255746c76b32f32d75
BLAKE2b-256 0eb4057c78f7b16b87871cfcecc6febe70522e77a2a33f8788960377152c224d

See more details on using hashes here.

File details

Details for the file coacd-1.0.11-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coacd-1.0.11-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e376fadb22790444c7253f0cee9104a1af01ec965488c1318e84e3b2dbf1e2a3
MD5 8a27b882796468ccabc408e9eab33c0e
BLAKE2b-256 cba706f63baa29198f681ba60848e3271cc625eddd61cd4e59071f56ffce9362

See more details on using hashes here.

File details

Details for the file coacd-1.0.11-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for coacd-1.0.11-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 adbc58259a721cc5ede24cc8c2671a95e75a8a52dc1ee4d953d80d236b192da9
MD5 3f24c2fb98b80d13818dab98c2197e84
BLAKE2b-256 1d3b434beab9e1754ca0ae3a619b383243dd85aa65d03a4dc7333c8296c97a92

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