Learning-Rich-Features-for-Image-Manipulation-Detection | Python3 GitHub warehouse of dBeker

 by   SBZed Jupyter Notebook Version: Current License: No License

kandi X-RAY | Learning-Rich-Features-for-Image-Manipulation-Detection Summary

kandi X-RAY | Learning-Rich-Features-for-Image-Manipulation-Detection Summary

Learning-Rich-Features-for-Image-Manipulation-Detection is a Jupyter Notebook library. Learning-Rich-Features-for-Image-Manipulation-Detection has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This experiment is mainly to learn and modify the code of the Faster-RCNN-TensorFlow-Python3 GitHub warehouse of dBeker, thus realizing double-flow tampering Detection.
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            kandi-support Support

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

            kandi-Quality Quality

              Learning-Rich-Features-for-Image-Manipulation-Detection has 0 bugs and 0 code smells.

            kandi-Security Security

              Learning-Rich-Features-for-Image-Manipulation-Detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Learning-Rich-Features-for-Image-Manipulation-Detection code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Learning-Rich-Features-for-Image-Manipulation-Detection does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Learning-Rich-Features-for-Image-Manipulation-Detection releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 312090 lines of code, 0 functions and 5508 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Learning-Rich-Features-for-Image-Manipulation-Detection Key Features

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            Learning-Rich-Features-for-Image-Manipulation-Detection Examples and Code Snippets

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            Install Learning-Rich-Features-for-Image-Manipulation-Detection

            You can download it from GitHub.

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            gh repo clone SBZed/Learning-Rich-Features-for-Image-Manipulation-Detection

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            git@github.com:SBZed/Learning-Rich-Features-for-Image-Manipulation-Detection.git

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