Action-Net | artificial intelligence models to recognize human actions | Machine Learning library

 by   OlafenwaMoses Python Version: v1 License: MIT

kandi X-RAY | Action-Net Summary

kandi X-RAY | Action-Net Summary

Action-Net is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. Action-Net has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Action-Net build file is not available. You can download it from GitHub.

A dataset of images for artificial intelligence models to recognize human actions.
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            kandi-support Support

              Action-Net has a low active ecosystem.
              It has 52 star(s) with 31 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 1 have been closed. On average issues are closed in 11 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Action-Net is v1

            kandi-Quality Quality

              Action-Net has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Action-Net is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Action-Net releases are available to install and integrate.
              Action-Net has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Action-Net and discovered the below as its top functions. This is intended to give you an instant insight into Action-Net implemented functionality, and help decide if they suit your requirements.
            • Runs a custom image prediction
            • Train action net
            • Download action_net_v1
            Get all kandi verified functions for this library.

            Action-Net Key Features

            No Key Features are available at this moment for Action-Net.

            Action-Net Examples and Code Snippets

            No Code Snippets are available at this moment for Action-Net.

            Community Discussions

            Trending Discussions on Action-Net

            QUESTION

            GitHub Action In-line if
            Asked 2020-Nov-05 at 15:45

            So I have the following workflow and its working perfectly. I now want to enhance it and when I am doing a PR to master, I want to set NETLIFY_DEPLOY_TO_PROD: false instead of it being true? Do I have to duplicate this all in a new workflow, or could do some inline if check of github.event_name === push ? true : false

            ...

            ANSWER

            Answered 2020-Nov-05 at 15:45

            You could set an environment variable to indicate if deploy to prod should happen, and change it depending on the event name:

            Source https://stackoverflow.com/questions/63621850

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

            Vulnerabilities

            No vulnerabilities reported

            Install Action-Net

            You can download it from GitHub.
            You can use Action-Net 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/OlafenwaMoses/Action-Net.git

          • CLI

            gh repo clone OlafenwaMoses/Action-Net

          • sshUrl

            git@github.com:OlafenwaMoses/Action-Net.git

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