• 28-Dec-2022
Lightrun Team
Author Lightrun Team
This is a glossary of all the common issues in joelibaceta video-to-ascii

Troubleshooting Common Issues in joelibaceta video-to-ascii

Lightrun Team
Lightrun Team

Project Description


video-to-ascii is a Python package developed by Joel Ibaceta that allows you to convert video files to ASCII art. It uses the opencv-python, numpy, imageio, scikit-image, and scipy packages to process and convert the video frames to ASCII art.

To use the video-to-ascii package, you will need to install it using pip:

pip install git+https://github.com/joelibaceta/video-to-ascii.git

Once installed, you can use the video_to_ascii function to convert a video file to ASCII art. Here is an example of how you can use the video_to_ascii function:

from video_to_ascii import video_to_ascii
video_to_ascii("my_video.mp4", "output.txt")

This will convert the video file my_video.mp4 to ASCII art and save it to the file output.txt. You can also specify additional options such as the frame rate, width, and height of the output ASCII art using the optional arguments of the video_to_ascii function.

For more information on using the video-to-ascii package, you can refer to the documentation on the GitHub repository.

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The following issues are the most popular issues regarding this project:

Error when trying to install on pip


If you are encountering an error when trying to install the video-to-ascii package using pip, there could be a few different causes for the error. Here are a few things you can try to resolve the issue:

  1. Make sure you are using the correct package name. The video-to-ascii package is not available on PyPI, so you will need to install it using the GitHub repository URL. You can install the package using the following command:
pip install git+https://github.com/joelibaceta/video-to-ascii.git
  1. Check if you have the required dependencies installed. The video-to-ascii package has a number of dependencies that need to be installed in order for the package to work properly. Make sure you have installed the following dependencies:
  • opencv-python
  • numpy
  • imageio
  • scikit-image
  • scipy

You can install these dependencies using pip:

pip install opencv-python numpy imageio scikit-image scipy
  1. Make sure you are using the correct version of pip. If you are using an older version of pip, you may encounter errors when trying to install certain packages. Make sure you are using the latest version of pip by upgrading it using the following command:
pip install --upgrade pip

If you are still encountering errors after trying these steps, you may want to check the video-to-ascii documentation or seek help from the developer of the package or from the community. You can also check for any open issues on the GitHub repository that may be related to your issue.


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