Convert Video and Images to ASCII form! Achieve Real-Time Color ASCII Rendering using NumPy Vectorization.
See this algorithm work on a webcam stream: https://github.com/AlexEidt/ASCII-Vision
positional arguments:
filename File name of the input image.
output File name of the output image.
optional arguments:
-h, --help show this help message and exit
-chars CHARS ASCII chars to use in media.
-r Reverse the character order.
-f [F] Font size.
-b [B] Boldness of characters. Recommended boldness is 1/10 of Font size.
-bg [BG] Background color. Must be either 255 for white or 0 for black.
-m M Color to use for Monochromatic characters in "R,G,B" format.
-c Clip characters to not go outside of image bounds.
-font [FONT] Font to use.
-a Add audio from the input file to the output file.
-q Quality of the output video. (0-10), 0 worst, 10 best.
Instead of a filename, a directory name can be used as the filename
argument. All media in this directory will be converted to ASCII Form and be placed in a directory specified by the output
argument. Note that this means if a directory is passed as the filename
argument, the output
argument must also be a directory and all media in filename
must be either images and/or videos.
- Python 3.7+
imageio
imageio-ffmpeg
numpy
PIL
tqdm
pip install numpy pillow tqdm imageio imageio-ffmpeg