bigimg lets you generate big images with just a lambda expression.
Project description
Easily create big images. With just a lambda expression.
An image can be seen as a function that maps a real-valued (x, y) coordinate onto a color. With this in mind, I made bigimg.
`bigimg.py` allows you to define a canvas width and height, a vector function which will conduct an element wise map over each element in the canvas, and an output file. If your function returns a single floating point value, the resulting image will be gray scale, if it returns a 3-tuple, it will be color.
You can also create pseudorandom images with:
`bash ./bigimg 128 128 pseudorandom.png --lamdbda random `
This is useful in a variety of contexts.
## Examples
Check out the example images included. You can pull request a new example image if you find an especially cool formula. Simply add the code to the example set below, and place the image in the examples/ folder.
Only the best images, as determined by me, will be accepted.
### Grayscale
` bigimg 512 512 examples/1.png --lambda "lambda x, y: 2048. * np.sin(x/32.) + 2048. * np.sin(y/32.)" ` ![Example 1](examples/1.png “lambda x, y: 2048. * np.sin(x/32.) + 2048. * np.sin(y/32.)” )
` bigimg 512 512 examples/2.png --lambda "lambda x, y: y * np.cos(x/128.)" ` ![Example 2](examples/2.png “lambda x, y: y * np.cos(x/128.)”)
` bigimg 512 512 --lambda random examples/0.png ` ![Example 0](examples/0.png “random”)
### Color
` bigimg 512 512 examples/3.png --lambda "lambda x, y: (x, x, y)" ` ![Example 3](examples/3.png “lambda x, y: (x, x, y)”)
` bigimg 512 512 examples/4.png --lambda "lambda x, y: (x, np.sin(x), np.sin(y))" ` ![Example 4](examples/4.png “lambda x, y: (x, np.sin(x), np.sin(y))”)
` bigimg 1024 1024 examples/5.png --lambda "lambda x, y: (512 * np.cos(y/32.), 512 * np.sin(x/32.), 512 * np.sin(y/32.))" ` ![Example 5](examples/5.png “lambda x, y: (512 * np.cos(y/32.), 512 * np.sin(x/32.), 512 * np.sin(y/32.))”)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.