Hardware Abstraction Layer for edge AI with zero-copy tensors, image processing, and YOLO decoding

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for au-zone from gravatar.com au-zone
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache-2.0)
  • Tags edge-ai , computer-vision , machine-learning , yolo , tensor , image-processing , dma , zero-copy , embedded , nxp-imx
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for au-zone from gravatar.com au-zone
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache-2.0)
  • Tags edge-ai , computer-vision , machine-learning , yolo , tensor , image-processing , dma , zero-copy , embedded , nxp-imx
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.22.0

0.21.0

0.20.0

0.19.0

0.18.1

0.18.0

0.17.0

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.0

0.13.2

0.13.1

0.13.0

0.12.0

0.11.0

0.10.0

0.9.1

0.9.0

0.8.0

0.7.0

0.6.2

0.6.1

0.6.0

This version

0.5.2

0.5.1

0.5.0

Download files

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

Source Distribution

edgefirst_hal-0.5.2.tar.gz (183.6 kB view details)

Uploaded Source

Built Distributions

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

edgefirst_hal-0.5.2-cp311-cp311-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.11Windows x86-64

edgefirst_hal-0.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

edgefirst_hal-0.5.2-cp311-cp311-macosx_11_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

File details

Details for the file edgefirst_hal-0.5.2.tar.gz.

File metadata

  • Download URL: edgefirst_hal-0.5.2.tar.gz
  • Upload date:
  • Size: 183.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for edgefirst_hal-0.5.2.tar.gz
Algorithm Hash digest
SHA256 d059f1fcc2045cf22aa4058d41b7d9a13fd534a2a13805c1ab4d6d4f89ed53b4
MD5 2849b882afca3860395d84b70d11c6d9
BLAKE2b-256 27082b67b5a5d24c94a9c55aae259ff8c68cdb1ef534f3c0e8edad27db72249c

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_hal-0.5.2.tar.gz:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file edgefirst_hal-0.5.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for edgefirst_hal-0.5.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 e9ec410f9762ab741dd6115cf17588f00080a7236319c6a8d6e35c37246efe3f
MD5 5203f14f6aaaffa6d1de54134dcf95ab
BLAKE2b-256 908ae4e3fbe518039d3ed19fbc5ea5ff4ff5b1dfc344d0105973e0cd4e590859

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_hal-0.5.2-cp311-cp311-win_amd64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file edgefirst_hal-0.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for edgefirst_hal-0.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b785ddb6b198df9cb35a098974f9b02e1a1bb2f4a2c0e3d9c977d145c1a83a24
MD5 af64bf2ddc70d88c6a9721a109f3e713
BLAKE2b-256 c0598392967d23dd59672a534674510d6164bbcd80e633b56210eb6f3f14adb5

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_hal-0.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file edgefirst_hal-0.5.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for edgefirst_hal-0.5.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 517ab9628aee3eefc31da5d9bed898123bcab17bbad945e5a2d9a8632b80c5d1
MD5 d70e1cc9b664ecd7fcf2bcfa96239771
BLAKE2b-256 d45d3b257fd1b467009c0a1ce79367bd1951b643fcc7df66ae9d6d52f2632dfd

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_hal-0.5.2-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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