cv_proj1 | computer vision project
kandi X-RAY | cv_proj1 Summary
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
computer vision project 1
Support
Quality
Security
License
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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.
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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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cv_proj1
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cv_proj1
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
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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