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.
$ git clone https://github.com/stephenbalaban/bigimg.git
$ cd bigimg
$ sudo pip install -e .
You can also create pseudorandom images with:
./bigimg 128 128 pseudorandom.png --lambda randomThis is useful in a variety of contexts.
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.
bigimg 512 512 examples/1.png --lambda "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.)"
bigimg 512 512 --lambda random examples/0.png
bigimg 512 512 examples/3.png --lambda "lambda x, y: (x, x, y)"
bigimg 512 512 examples/4.png --lambda "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.))"
