Skip to main content

Ikomia Python API for Computer Vision workflow and plugin integration in Ikomia Studio

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

ikomia-0.12.0-cp311-none-win_amd64.whl (71.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

ikomia-0.12.0-cp311-none-manylinux2014_x86_64.whl (147.4 MB view details)

Uploaded CPython 3.11

ikomia-0.12.0-cp310-none-win_amd64.whl (70.8 MB view details)

Uploaded CPython 3.10 Windows x86-64

ikomia-0.12.0-cp310-none-manylinux2014_x86_64.whl (147.1 MB view details)

Uploaded CPython 3.10

ikomia-0.12.0-cp39-none-win_amd64.whl (70.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

ikomia-0.12.0-cp39-none-manylinux2014_x86_64.whl (147.0 MB view details)

Uploaded CPython 3.9

ikomia-0.12.0-cp38-none-win_amd64.whl (70.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

ikomia-0.12.0-cp38-none-manylinux2014_x86_64.whl (146.9 MB view details)

Uploaded CPython 3.8

File details

Details for the file ikomia-0.12.0-cp311-none-win_amd64.whl.

File metadata

  • Download URL: ikomia-0.12.0-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 71.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for ikomia-0.12.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 35b85401e217135b8660a09407eec2d60c46965f017032e0b311d22a9c351195
MD5 1b404940112e1e358cbb78ee2880afb7
BLAKE2b-256 9311a5654f0b5fe92593e5ea405a08f3bd64118ce0f0365e35ffdbb840d3c214

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp311-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ikomia-0.12.0-cp311-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2abd7c40e0399784f3458c5d3991a967b833680a07fc57c83dbcf3b073465e4e
MD5 1f58e5fd20aefc991eb2eac73c0e59b6
BLAKE2b-256 b87e9de63429238dd7478ed8e859993c7db3c6b35d6c8a534f2f8ae32b16d988

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp310-none-win_amd64.whl.

File metadata

  • Download URL: ikomia-0.12.0-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 70.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for ikomia-0.12.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 6d351658655f8278ecef2d22875e47f08fcbd5efac30ac16fe8e97aa11be189d
MD5 6cf4592e4c8943059d122c75d677df04
BLAKE2b-256 5786f25ea576b8ee28819c6060b93e0e474b77ee19c539d3d668c033978d4138

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp310-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ikomia-0.12.0-cp310-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a05463cf0dbc9a975c7ef511dc16a71e8abd7716ce46606bd9e16b780d2a696f
MD5 7503cb1d98a7387a87c587b9897a90df
BLAKE2b-256 e2ac4d86501390ef0bb60d2e45a18d59d6b09acc98f6196fd5f3e694c872154c

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp39-none-win_amd64.whl.

File metadata

  • Download URL: ikomia-0.12.0-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 70.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for ikomia-0.12.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 53e023812c413fab88aa6281062d6f971af3c21568bb89305a8a9d0e5b8dfd9e
MD5 8665d657802e5b33d0a4a21ce21a1032
BLAKE2b-256 f69ae6b8aca7b5369db10ee46d414fa40c332fb8da4f3c5cb5003b8b9e7fda82

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp39-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ikomia-0.12.0-cp39-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 609fd8ba41f424e49a9015acd1d83ddc1e1bebb9cb6feb224b67cac0ff8a16d0
MD5 310c36f92232f1c09731ec38efd4ee24
BLAKE2b-256 fbccd240b9a8fe92c0225f219d4b9e4b483ec2608e4e10e7ca08cd3a6b154993

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp38-none-win_amd64.whl.

File metadata

  • Download URL: ikomia-0.12.0-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 70.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for ikomia-0.12.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 ea205c63fa3d1a024b7a079d12dc90ea0b6d09f8e2056d5e3fa68d2207d2483e
MD5 5f3a9c39a899a855b71ab1318c681163
BLAKE2b-256 f5a0c2b1d792e429ac7a8c59b7f712b6f12c95bcc8c6e0fad4f822e5c45e87e6

See more details on using hashes here.

Provenance

File details

Details for the file ikomia-0.12.0-cp38-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ikomia-0.12.0-cp38-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2d3db7e14c31d42eda69704d08e41c924f815a340ac7db3f9058c5daa2dc427e
MD5 399b40cc255df63f200d2d4be35deb7e
BLAKE2b-256 71f7a91f6dee59176abe38877f15516150bb7a28b1113a74612f7477956033fc

See more details on using hashes here.

Provenance

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