cv_lab_2021 | Material for the Computer Vision Lab 2021 at JKU

by JKU-ICG Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | cv_lab_2021 Summary

cv_lab_2021 is a Jupyter Notebook library. cv_lab_2021 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Material for the Computer Vision Lab 2021 at JKU.

Support

Quality

Security

License

Reuse

Support

cv_lab_2021 has a low active ecosystem.

It has 5 star(s) with 8 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

cv_lab_2021 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cv_lab_2021 is current.

Quality

cv_lab_2021 has no bugs reported.

Security

cv_lab_2021 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cv_lab_2021 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

cv_lab_2021 releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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cv_lab_2021 Key Features

No Key Features are available at this moment for cv_lab_2021.

cv_lab_2021 Examples and Code Snippets

No Code Snippets are available at this moment for cv_lab_2021.

Community Discussions

No Community Discussions are available at this moment for cv_lab_2021.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cv_lab_2021

Clone this repository: git clone https://github.com/JKU-ICG/cv_lab_2021.git
Install miniconda
Create the course environment: conda env create -f environment.yaml
Before interacting with any course scripts or notebooks remeber to activate the python environment: conda activate cvlab

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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