tut-ImageRecognition | Image CNN made for the Advanced Signal Processing

by asik03 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | tut-ImageRecognition Summary

tut-ImageRecognition is a Python library. tut-ImageRecognition has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Image CNN made for the Advanced Signal Processing Laboratory course, in Tampere University of Technology (TUT).

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License

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Support

tut-ImageRecognition has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

tut-ImageRecognition has no issues reported. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tut-ImageRecognition is current.

Quality

tut-ImageRecognition has no bugs reported.

Security

tut-ImageRecognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tut-ImageRecognition 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

tut-ImageRecognition releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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tut-ImageRecognition Key Features

No Key Features are available at this moment for tut-ImageRecognition.

tut-ImageRecognition Examples and Code Snippets

No Code Snippets are available at this moment for tut-ImageRecognition.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tut-ImageRecognition

Launch conda promt, create a new enviroment and install all the dependencies.

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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