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
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
《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
Support
Quality
Security
License
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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.
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.
Quality
multimodal-human-action-recognotion has no bugs reported.
Security
multimodal-human-action-recognotion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
multimodal-human-action-recognotion does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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.
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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