Metadata-Version: 1.1
Name: imagedupes
Version: 1.2.3
Summary: Python 3 CLI application for finding visually similar images
Home-page: https://github.com/ghemsley/imagedupes
Author: Graham Hemsley
Author-email: ghemsley@protonmail.ch
License: GPL3+
Description: ==========
        imagedupes
        ==========
        --------------------------------------------------------
        Python 3 application for finding visually similar images
        --------------------------------------------------------
        usage: imagedupes [-h] [-a ALGORITHM] [-d DIRECTORY] [-D DATABASE] [-l]
                           [-o OPTIONS] [-p PROGRAM] [-r] [-R] [-s HASH_SIZE]
        
        Finds visually similar images and opens them in an image viewer, one group of
        matches at a time. If no options are specified, it defaults to searching the
        current working directory non-recursively using a perceptual image hash
        algorithm with a hash size of 8, opens images in the system default image
        handler (all members of a group of matches at once), and does not follow
        symbolic links or use a persistent database.
        
        optional arguments:
          -h, --help            show this help message and exit
          -a ALGORITHM, --algorithm ALGORITHM
                                Specify a hash algorithm to use. Acceptable inputs:
                                'dhash' (horizontal difference hash),
                                'dhash_vertical', 'ahash' (average hash), 'phash'
                                (perceptual hash), 'phash_simple', 'whash_haar' (Haar
                                wavelet hash), 'whash_db4' (Daubechles wavelet hash).
                                Defaults to 'phash' if not specified.
          -d DIRECTORY, --directory DIRECTORY
                                Directory to search for images. Defaults to the
                                current working directory if not specified.
          -D DATABASE, --database DATABASE
                                Use a database to cache hash results and speed up hash
                                comparisons. Argument should be the path to which you
                                want to save or read from the database. Warning:
                                runnning the program multiple times with the same
                                database but a different hash algorithm (or different
                                hash size) will lead to missed matches. Defaults to no
                                database if not specified.
          -l, --links           Follow symbolic links. Defaults to off if not
                                specified.
          -o OPTIONS, --options OPTIONS
                                Option parameters to pass to the program opened by the
                                --program flag. Defaults to no options if not
                                specified.
          -p PROGRAM, --program PROGRAM
                                Program to open the matched images with. Defaults to
                                your system's default image handler if not specified.
          -r, --recursive       Search through directories recursively. Defaults to
                                off if not specified.
          -R, --raws            Process and hash raw image files. Note: Very slow. You
                                might want to leave it running overnight for large
                                image sets. Using the --database option in tandem is
                                highly recommended. Defaults to off if not specified.
          -s HASH_SIZE, --hash_size HASH_SIZE
                                Resolution of the hash; higher is more sensitive to
                                differences. Some hash algorithms require that it be a
                                power of 2 (2, 4, 8, 16...) so using a power of two is
                                recommended. Defaults to 8 if not specified. Values
                                lower than 8 may not work with some hash algorithms.
        
Keywords: image search deduplication
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: Topic :: Multimedia :: Graphics
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3.6
