multimodal-human-action-recognotion | 《基于深度学习的多模态人体行为识别》论文工作整理及总结

 by   chenyr0021 Python Version: Current License: No License

kandi X-RAY | multimodal-human-action-recognotion Summary

kandi X-RAY | multimodal-human-action-recognotion Summary

multimodal-human-action-recognotion is a Python library. multimodal-human-action-recognotion has no bugs, it has no vulnerabilities and it has low support. However multimodal-human-action-recognotion build file is not available. You can download it from GitHub.

《基于深度学习的多模态人体行为识别》论文工作整理及总结
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            kandi-support Support

              multimodal-human-action-recognotion has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              multimodal-human-action-recognotion has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of multimodal-human-action-recognotion is current.

            kandi-Quality Quality

              multimodal-human-action-recognotion has no bugs reported.

            kandi-Security Security

              multimodal-human-action-recognotion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              multimodal-human-action-recognotion does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              multimodal-human-action-recognotion releases are not available. You will need to build from source code and install.
              multimodal-human-action-recognotion 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 multimodal-human-action-recognotion and discovered the below as its top functions. This is intended to give you an instant insight into multimodal-human-action-recognotion implemented functionality, and help decide if they suit your requirements.
            • Initialize the InceptionI3D .
            • Main function .
            • Run the model .
            • Perform forward computation .
            • Train the model .
            • Validate the dataset .
            • Retrieve data for a given index .
            • Make a dataset from a split file .
            • Calculate predictions for a given model .
            • convert csv to json
            Get all kandi verified functions for this library.

            multimodal-human-action-recognotion Key Features

            No Key Features are available at this moment for multimodal-human-action-recognotion.

            multimodal-human-action-recognotion Examples and Code Snippets

            No Code Snippets are available at this moment for multimodal-human-action-recognotion.

            Community Discussions

            No Community Discussions are available at this moment for multimodal-human-action-recognotion.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install multimodal-human-action-recognotion

            You can download it from GitHub.
            You can use multimodal-human-action-recognotion 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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            CLONE
          • HTTPS

            https://github.com/chenyr0021/multimodal-human-action-recognotion.git

          • CLI

            gh repo clone chenyr0021/multimodal-human-action-recognotion

          • sshUrl

            git@github.com:chenyr0021/multimodal-human-action-recognotion.git

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