detect_num_of_people | 使用Mask_RCNN来对公交车中的人数和异常状况进行检测
kandi X-RAY | detect_num_of_people Summary
kandi X-RAY | detect_num_of_people Summary
detect_num_of_people is a Python library. detect_num_of_people has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
使用Mask_RCNN来对公交车中的人数和异常状况进行检测
使用Mask_RCNN来对公交车中的人数和异常状况进行检测
Support
Quality
Security
License
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Support
detect_num_of_people has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of detect_num_of_people is v1.0
Quality
detect_num_of_people has no bugs reported.
Security
detect_num_of_people has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
detect_num_of_people 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.
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detect_num_of_people releases are available to install and integrate.
Build file is available. You can build the component from source.
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detect_num_of_people Key Features
No Key Features are available at this moment for detect_num_of_people.
detect_num_of_people Examples and Code Snippets
No Code Snippets are available at this moment for detect_num_of_people.
Community Discussions
No Community Discussions are available at this moment for detect_num_of_people.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install detect_num_of_people
You can download it from GitHub.
You can use detect_num_of_people 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 detect_num_of_people 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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