Raspbarry_Tensorflow_Robot | 基于Tensorflow的树莓派智能识别机器人
kandi X-RAY | Raspbarry_Tensorflow_Robot Summary
kandi X-RAY | Raspbarry_Tensorflow_Robot Summary
Raspbarry_Tensorflow_Robot is a Python library. Raspbarry_Tensorflow_Robot has no bugs, it has no vulnerabilities and it has low support. However Raspbarry_Tensorflow_Robot build file is not available. You can download it from GitHub.
基于Tensorflow的树莓派智能识别机器人
基于Tensorflow的树莓派智能识别机器人
Support
Quality
Security
License
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Support
Raspbarry_Tensorflow_Robot has a low active ecosystem.
It has 6 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Raspbarry_Tensorflow_Robot has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Raspbarry_Tensorflow_Robot is current.
Quality
Raspbarry_Tensorflow_Robot has no bugs reported.
Security
Raspbarry_Tensorflow_Robot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Raspbarry_Tensorflow_Robot 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.
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Raspbarry_Tensorflow_Robot releases are not available. You will need to build from source code and install.
Raspbarry_Tensorflow_Robot has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Raspbarry_Tensorflow_Robot and discovered the below as its top functions. This is intended to give you an instant insight into Raspbarry_Tensorflow_Robot implemented functionality, and help decide if they suit your requirements.
- Process an image
- Run inference on an image
- Convert a node id to a string
- Warm Tensorflow model
- Create graph from saved graph_def
- Download and extract the tarball
Get all kandi verified functions for this library.
Raspbarry_Tensorflow_Robot Key Features
No Key Features are available at this moment for Raspbarry_Tensorflow_Robot.
Raspbarry_Tensorflow_Robot Examples and Code Snippets
No Code Snippets are available at this moment for Raspbarry_Tensorflow_Robot.
Community Discussions
No Community Discussions are available at this moment for Raspbarry_Tensorflow_Robot.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Raspbarry_Tensorflow_Robot
You can download it from GitHub.
You can use Raspbarry_Tensorflow_Robot 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 Raspbarry_Tensorflow_Robot 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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