open_model_zoo | trained Deep Learning models and demos ( high quality | Machine Learning library

 by   openvinotoolkit Python Version: 2023.0.0 License: Apache-2.0

kandi X-RAY | open_model_zoo Summary

kandi X-RAY | open_model_zoo Summary

open_model_zoo is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. open_model_zoo has no vulnerabilities, it has a Permissive License and it has medium support. However open_model_zoo has 4 bugs and it build file is not available. You can install using 'pip install open_model_zoo' or download it from GitHub, PyPI.

This repository includes optimized deep learning models and a set of demos to expedite development of high-performance deep learning inference applications. Use these free pre-trained models instead of training your own models to speed-up the development and production deployment process. Intel is committed to the respect of human rights and avoiding complicity in human rights abuses, a policy reflected in the Intel Global Human Rights Principles. Accordingly, by accessing the Intel material on this platform you agree that you will not use the material in a product or application that causes or contributes to a violation of an internationally recognized human right.
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              open_model_zoo has a medium active ecosystem.
              It has 3633 star(s) with 1315 fork(s). There are 121 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 56 open issues and 368 have been closed. On average issues are closed in 129 days. There are 37 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of open_model_zoo is 2023.0.0

            kandi-Quality Quality

              OutlinedDot
              open_model_zoo has 4 bugs (1 blocker, 0 critical, 3 major, 0 minor) and 542 code smells.

            kandi-Security Security

              open_model_zoo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              open_model_zoo code analysis shows 0 unresolved vulnerabilities.
              There are 26 security hotspots that need review.

            kandi-License License

              open_model_zoo is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              open_model_zoo releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              open_model_zoo has no build file. You will be need to create the build yourself to build the component from source.
              open_model_zoo saves you 55175 person hours of effort in developing the same functionality from scratch.
              It has 63501 lines of code, 5024 functions and 484 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed open_model_zoo and discovered the below as its top functions. This is intended to give you an instant insight into open_model_zoo implemented functionality, and help decide if they suit your requirements.
            • Main function .
            • Extracts events from the same action .
            • Add model page elements .
            • Calculate overlap between two boxes .
            • Add a new tab .
            • Make a subset of the given ids .
            • Adds OpenVINO specific arguments to the given parser .
            • Compute key points from heatmaps .
            • Process frame .
            • Compute the proposal positions .
            Get all kandi verified functions for this library.

            open_model_zoo Key Features

            No Key Features are available at this moment for open_model_zoo.

            open_model_zoo Examples and Code Snippets

            Retail Analytics,Setup,Which model to use
            Pythondot img1Lines of Code : 2dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            cd 
            ./setup.sh
              
            tensorboardX - demo openvino
            Pythondot img2Lines of Code : 3dot img2License : Permissive (MIT License)
            copy iconCopy
            from tensorboardX import SummaryWriter
            with SummaryWriter() as w:
                # https://download.01.org/opencv/2019/open_model_zoo/R3/20190905_163000_models_bin/mobilenetv2-int8-sparse-v1-tf-0001/FP32/mobilenetv2-int8-sparse-v1-tf-0001.xml
                w.add_openvino  

            Community Discussions

            QUESTION

            Fail to run OpenVINO demo
            Asked 2020-Nov-04 at 06:55

            I am trying to install OpenVINO in a custom location (Windows 10). So far installation occurs without error. However, when I try to run any of the samples, I get this output:

            ...

            ANSWER

            Answered 2020-Nov-04 at 06:55

            Open Model Zoo is a separate folder. It is not created during 'build from source' installation. You can clone the Open Model Zoo repo from this GitHub link: https://github.com/openvinotoolkit/open_model_zoo.git.

            Then, place the cloned repo in the deployment_tools directory.

            Source https://stackoverflow.com/questions/64539024

            QUESTION

            Use openvino from docker
            Asked 2020-Jun-10 at 00:05

            I am trying to use OpenVINO from docker container. I use docker file from official web site https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_docker_linux.html

            ...

            ANSWER

            Answered 2020-Jun-10 at 00:05

            If you are building the Docker image, and trying to run the OpenVINO Python apps outside the docker image it won't work. You can create the Docker image and run Docker image interactively to execute the Python apps within the image. Refer to https://docs.docker.com/engine/reference/run/ for more information on docker run.

            Couple of issues noticed in your Dockerfile when used in my environment. After the changes and steps below, you should be able to import openvino module and run a Python application:

            In Dockerfile line #34:

            Source https://stackoverflow.com/questions/62277098

            QUESTION

            How to fix OpenSSL.SSL.WantReadError?
            Asked 2019-Jul-10 at 04:44

            I have a trouble about pyopenssl. The error message is 'OpenSSL.SSL.WantReadError'.

            I'm debugging below. https://github.com/opencv/open_model_zoo

            First error happened. asn1crypto._ffi.LibraryNotFoundError: The library libcrypto could not be found

            I confirmed info below.

            where to get and install crypto.dll on 64 bit Windows

            I changed from crypto to libcrypto in the file.

            (virtualenv path)\Lib\site-packages\asn1crypto_perf_big_num_ctypes.py

            So I resolved the first error. But Second error happend.

            OpenSSL.SSL.WantReadError

            My environment is below. Windows 10 virtualenv Python 3.7.1 pyopenssl 19.0.0 Visual C++ 2017 OpenSSL 1.0.2、1.1.0、1.1.1

            (virtualenv path)\Lib\site-packages\OpenSSL\SSL.py

            1620 line

            ...

            ANSWER

            Answered 2019-Jul-10 at 04:44

            Although I don't know the reason, I executed it using no debug mode normally.

            Source https://stackoverflow.com/questions/56946404

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install open_model_zoo

            You can install using 'pip install open_model_zoo' or download it from GitHub, PyPI.
            You can use open_model_zoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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