cv_proj1 | computer vision project

by gravaman Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | cv_proj1 Summary

cv_proj1 is a Jupyter Notebook library. cv_proj1 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

computer vision project 1

Support

Quality

Security

License

Reuse

Support

cv_proj1 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.

cv_proj1 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cv_proj1 is current.

Quality

cv_proj1 has no bugs reported.

Security

cv_proj1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cv_proj1 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_proj1 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_proj1 Key Features

No Key Features are available at this moment for cv_proj1.

cv_proj1 Examples and Code Snippets

No Code Snippets are available at this moment for cv_proj1.

Community Discussions

No Community Discussions are available at this moment for cv_proj1.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cv_proj1

Install Miniconda. It doesn't matter whether you use 2.7 or 3.6 because we will create our own environment anyways.
Create a conda environment, using the appropriate command. On Windows, open the installed "Conda prompt" to run this command. On MacOS and Linux, you can just use a terminal window to run the command. Modify the command based on your OS ('linux', 'mac', or 'win'): conda env create -f environment_<OS>.yml
This should create an environment named cs6476. Activate it using the following Windows command: activate cs6476 or the following MacOS / Linux command: source activate cs6476.
Run the notebook using: jupyter notebook ./code_dir/proj1.ipynb
Generate the submission once you're finished using python zip_submission.py

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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