Request for a minimal reproducible example of tabluated results.

[CodeByHarri]

Can a minimal reproducible example be provided where undouble is used where:

input: a folder path of images, path of image we care about
output: a table / pandas dataframe with the name of all the images in the folder path where ranked by most similar to least similar.

[erdogant]

Have you tried the documentation pages?

[CodeByHarri]

https://erdogant.github.io/undouble/pages/html/Examples.html#get-identical-images

my understanding is that model produces a matrix of results against all images in a directory. however, what if i dont care about all the images. i just have 1 image i care about and time is of concern. is there a way to use undouble to look for the most similar images from a given image. without checking every other image in the directory against each other?

sorry if I've misunderstood the code.

[erdogant]

How would you know which of all images is most similar to the input image without checking the distance to every other image?

[CodeByHarri]

My understanding is that undouble creates a matrix of all the images in the given directory. in the above example its [21460x21460], what if i dont want to spend the time and resources computing this marix and instead just want the results for 1 image [1x21460]