Skip to main content

Inference Engine Python* API

Project description

OpenVINO™ Toolkit

OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel® hardware, maximizing performance. The OpenVINO™ toolkit includes the Deep Learning Deployment Toolkit (DLDT).

OpenVINO™ toolkit:

  • Enables CNN-based deep learning inference on the edge
  • Supports heterogeneous execution across an Intel® CPU, Intel® Integrated Graphics, Intel® FPGA, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
  • Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels
  • Includes optimized calls for computer vision standards, including OpenCV* and OpenCL™

Operating Systems:

  • Ubuntu* 18.04 long-term support (LTS), 64-bit
  • Windows* 10, 64-bit
  • macOS* 10.15, 64-bit

Install the Runtime Package Using the PyPI Repository

  1. Set up and update pip to the highest version:
    python3 -m pip install --upgrade pip
    
  2. Install the Intel® distribution of OpenVINO™ toolkit:
    pip install openvino
    
  3. Add PATH to environment variables.
  • Ubuntu* 18.04 and macOS*:
    export LD_LIBRARY_PATH=<library_dir>:${LD_LIBRARY_PATH}
    
  • Windows* 10:
    set PATH=<library_dir>;%PATH%
    

How to find library_dir:

  • Ubuntu*, macOS*:
    • standard user:
      echo $(python3 -m site --user-base)/lib
      
    • root or sudo user:
      /usr/local/lib
      
    • virtual environments or custom Python installations (from sources or tarball):
      echo $(which python3)/../../lib
      
  • Windows*:
    • standard Python:
       python -c "import os, sys; print((os.path.dirname(sys.executable))+'\Library\\bin')"
      
    • virtual environments or custom Python installations (from sources or tarball):
       python -c "import os, sys; print((os.path.dirname(sys.executable))+'\..\Library\\bin')"
      
  1. Verify that the package is installed:
    python3 -c "import openvino"
    

Now you are ready to develop and run your application.

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

openvino-2021.2-170-cp38-cp38-win_amd64.whl (18.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

openvino-2021.2-170-cp37-cp37m-win_amd64.whl (19.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

openvino-2021.2-170-cp37-cp37m-manylinux2010_x86_64.whl (20.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

openvino-2021.2-170-cp37-cp37m-macosx_10_15_x86_64.whl (23.2 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

openvino-2021.2-170-cp36-cp36m-win_amd64.whl (19.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

openvino-2021.2-170-cp36-cp36m-manylinux2010_x86_64.whl (20.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

openvino-2021.2-170-cp36-cp36m-macosx_10_15_x86_64.whl (23.3 MB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

File details

Details for the file openvino-2021.2-170-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 18.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 2b106e6f7504925d1b2c6d4633d0440a2480b37e7a95562711ff96039d69fe57
MD5 3ccb1fb18700b46433fe9620ceffd117
BLAKE2b-256 26a1dbd26ebf842045f402fb04b1d831ddd8f8c40c1129a74c9f5f2be68751f7

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 19.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b56e28d82dd15b2563f7c084939b41a2a14799751eef002c4719bdf09144d7fc
MD5 ce19a90bfa07f275b8cfa8f18dfd6982
BLAKE2b-256 750b469831e623ccd4b00b49b3f06bce89036f06ca787049e5fd44a7e39a2a27

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 20.4 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bdd5865392cf6345a5800f996fcee140d68865ef59b03073b5d20730e2abf481
MD5 9fb59d924c014d63d2892b8021a4724d
BLAKE2b-256 a9cf76189cb8ac5a1d1a06c4ccf779beaae396c7d1aaad25eaebb37ce2857994

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 1ec257b78ecc71f774d8ffb679e05b92ab7cc934346881657bfdcad95a46eefd
MD5 a7b6c8ff534641a99aa1278469c9c586
BLAKE2b-256 a5babafc1fd0c24d32e2fd74700edfd027e3651494ccb90abb9f16ec463ef23c

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 19.0 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 cf32ee2965627376375486b76e4d87845651f0ed721634f4d7a0b7b1c2a6c28b
MD5 afcc9314f88ec884bce0046aab7a2caa
BLAKE2b-256 b29bcc5c6c5dd739e43854412d867dd662cbb21f8c5b32d1ce35a885a04fb7ea

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 20.3 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 32e215082d3b09bc7f7eeb1c3e256ecdfaa2d85a7ed30d941cea12c4690f6b09
MD5 e20336aad430ce32efa7c0a7818e1605
BLAKE2b-256 dedb67c18c0e03ae6b4632d7234ac8715241a911de597e9ef10825e43ec1e80b

See more details on using hashes here.

File details

Details for the file openvino-2021.2-170-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: openvino-2021.2-170-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 23.3 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

File hashes

Hashes for openvino-2021.2-170-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 71ec9bde8f66f9aba45122f0090448b1f969c7745a0c367e27a8a552ae16dbad
MD5 3a41a2a016d6911eb1de82bb1fda9b08
BLAKE2b-256 18014483b6eda3432b91ee295bf3329946b03975e508f428c9ef47ecee160c2f

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