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erdogant / undouble

Python package undouble is to detect (near-)identical images.
BSD 3-Clause "New" or "Revised" License
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Request for a minimal reproducible example of tabluated results. #10

Open CodeByHarri opened 5 months ago

CodeByHarri commented 5 months ago

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 commented 5 months ago

Have you tried the documentation pages?

CodeByHarri commented 5 months ago

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 commented 5 months ago

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

CodeByHarri commented 5 months ago

image

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]