Defects_Detection_MaskRCNN | Detect mainly three kinds of defects on chips
kandi X-RAY | Defects_Detection_MaskRCNN Summary
kandi X-RAY | Defects_Detection_MaskRCNN Summary
Defects_Detection_MaskRCNN is a Jupyter Notebook library. Defects_Detection_MaskRCNN has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.
Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.
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Quality
Security
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Support
Defects_Detection_MaskRCNN has a low active ecosystem.
It has 9 star(s) with 3 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Defects_Detection_MaskRCNN has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Defects_Detection_MaskRCNN is current.
Quality
Defects_Detection_MaskRCNN has no bugs reported.
Security
Defects_Detection_MaskRCNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Defects_Detection_MaskRCNN 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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Defects_Detection_MaskRCNN releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Defects_Detection_MaskRCNN
Defects_Detection_MaskRCNN Key Features
No Key Features are available at this moment for Defects_Detection_MaskRCNN.
Defects_Detection_MaskRCNN Examples and Code Snippets
No Code Snippets are available at this moment for Defects_Detection_MaskRCNN.
Community Discussions
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Defects_Detection_MaskRCNN
You can download it from GitHub.
Support
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