The videos above were generated using the same script described in an earlier post.
The video above was generated using neuralart.
Categories
Neural Art
neuralart is a Python library and utility for rendering generative art from a randomly initialized neural network.
It’s based on the following blog posts and pages from studio otoro.
- Neural Network Generative Art in Javascript
- Generating Abstract Patterns with TensorFlow
- Neurogram
- Interactive Neural Network Art
The package is available on PyPI, the Python Package Index. It can be installed with pip.
$ pip install neuralart
For example command line usage, see neuralart#example.
For example library usage, see example.py.
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echo and printenv in x86 Assembly
This post contains implementations of echo and printenv in 32-bit x86 assembly for Linux.
echo is a Unix utility that prints its arguments to standard output.
printenv is a Unix utility that prints the environment to standard output.
The core functionality of these programs can be written in a few lines of C, where program arguments and the environment are passed as function arguments to main.
When a process is executed on Linux (or other Unix-like systems), its stack contains pointers to the program arguments and the environment, as shown below.
|--------------------------| Low
0(%esp) | Argument Count | Addresses
|--------------------------|
4(%esp) | Argument Pointers |
| ... |
|--------------------------|
| 0 |
|--------------------------|
| Environment Pointers |
| ... |
|--------------------------|
| 0 |
|--------------------------|
| Additional Data |
| ... | High
|--------------------------| Addresses
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k-means Image Color Quantization
I implemented a web page that can apply color quantization to images using k-means clustering. Here’s the link:
https://dstein64.github.io/k-means-quantization-js/
The JavaScript source code is available on GitHub:
https://github.com/dstein64/k-means-quantization-js