infinite-recursive-image

A script to create the Droste effect with any image. Has two modes -- orthogonal mode (-o) for rectangular boxes, and skew mode (-s) for skewed boxes.

Usage

Run:

$ git clone github.com/EkanshdeepGupta/infinite-recursive-image
$ cd ./infinite-recursive-image
$ python ./nested_photo.py -h
    usage: nested_photo.py [-h] [-o | -s] [-n COUNT] filename dimensions

    positional arguments:
      filename              the filename of the image to be processed.
      dimensions            the pixel dimensions of the box to create the effect. In orthogonal mode,
                            the dimensions have to be given as "x1,y1,x2,y2". In skew mode, dimensions
                            have to be given as "(x1,y1),(x2,y2),(x3,y3),(x4,y4)"

    optional arguments:
      -h, --help            show this help message and exit
      -o, --orthogonal      flag used to run the script on an orthogonally rectangular box. Defaults
                            to orthogonal mode.
      -s, --skew            flag used to run the script on a non orthogonally rectangular box.
      -n COUNT, --count COUNT
                            number of times to recurse. Defaults to 10.

For orthogonal mode, the dimensions can be given as a comma separated string of four numbers, which denote the pixel coordinates of the left, top, right, bottom edges respectively, of the box on which to generate the Droste effect. Since orthogonal mode only works on orthogonal rectangles, only the edges can be specified. For non-rectangular boxes, use skew mode with the -s flag. In orthogonal mode, the image is cropped accordingly to maintain the aspect ratio with the rectangular box.

For skew mode, the dimensions can be given as a string of four 2-tuples of numbers, which denote the pixel coordinates of the top-left, top-right, bottom-right, bottom-left corners respectively, of the box on which to generate the Droste effect. In skew mode, the perspective shift effect is used to make the image fit the dimensions given.

The pixel coordinates for dimensions can be found using any photo-editing software like GIMP or Adobe Photoshop.

Examples

Get the outputs stored in ./examples as follows:

Orthogonal mode:

$ python nested_photo.py ./examples/modern-tv-cabinet.jpg "552,238,1049,540"

$ python nested_photo.py ./examples/gray-wooden-sideboard.jpg "721,217,1217,550"

Skew mode

$ python nested_photo.py ./examples/black-white.jpg -s "(246,312),(889,456),(887,826),(250,839)"

$ python nested_photo.py ./examples/living-room.jpg -s "(450,1020),(1196,1036),(1197,1430),(449,1476)"

$ python nested_photo.py "./examples/seats.jpg" -s "(1231,281), (2357,265), (2367,1009), (1244,1025)"

Photo Credits

• Modern TV Cabinet - Photo by MAX 3D Design from Shutterstock.
• Gray Wooden Sideboard - Photo from Pexels.
• Black White - Photo by Sidekix Media on Unsplash.
• Living Room - Photo by Jean van der Meulen from Pexels.
• Seats - Photo by Simon Maris from FreeImages.