Basic Usage

difPy is split into two main processes:

• build which builds the image repository from the directories provided (difpy.build) and

• search which performs the actual search operation (difPy.search).

First we need to build the dif object:

import difPy
dif = difPy.build("C:/Path/to/Folder/")

And then we can perform one or more different searches on the same dif object:

search_duplicates = difPy.search(dif, similarity="duplicates")
search_similar = difPy.search(dif, similarity= "similar")

We can obtain the search results as follows (see Output):

search_duplicates.result
search_similar.result

difPy supports searching for duplicate and similar images within a single or multiple directories.

Single Folder Search

Search for duplicate images in a single folder:

import difPy
dif = difPy.build('C:/Path/to/Folder/')
search = difPy.search(dif)

Multi Folder Search

Search for duplicate images in multiple folders:

import difPy
dif = difPy.build('C:/Path/to/Folder_A/', 'C:/Path/to/Folder_B/', 'C:/Path/to/Folder_C/', ...)
search = difPy.search(dif)

or add a list of folders:

import difPy
dif = difPy.build(['C:/Path/to/Folder_A/', 'C:/Path/to/Folder_B/', 'C:/Path/to/Folder_C/', ... ])
search = difPy.search(dif)

Folder paths must be specified as either standalone Python strings, or in a Python list.

difPy can search for duplicates in the union of all folders it finds, or only for duplicates within separate/isolated directories. See in_folder (bool).

difPy leverages multiprocessing for both the build and the search process.