J’ai fait une petite lecture des tables de Dikikam afin de faire un export des images similaires avec un taux à 1.0 :

$ sqlite3 
SQLite version 3.22.0 2018-01-22 18:45:57
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database.
sqlite> .open similarity.db
sqlite> .tables
ImageHaarMatrix     ImageSimilarity     SimilaritySettings
sqlite> .schema ImageSimilarity
CREATE TABLE ImageSimilarity
                    (imageid1 INTEGER NOT NULL,
                    imageid2 INTEGER NOT NULL,
                    algorithm INTEGER,
                    value DOUBLE,
                    CONSTRAINT Similar UNIQUE(imageid1, imageid2, algorithm));
sqlite> .schema ImageHaarMatrix
CREATE TABLE ImageHaarMatrix
                    (imageid INTEGER PRIMARY KEY,
                    modificationDate DATETIME,
                    uniqueHash TEXT,
                    matrix BLOB);
CREATE TRIGGER delete_similarities DELETE ON ImageHaarMatrix
                    BEGIN
                        DELETE FROM ImageSimilarity
                            WHERE ( ImageSimilarity.imageid1=OLD.imageid OR ImageSimilarity.imageid2=OLD.imageid )
                              AND ( ImageSimilarity.algorithm=1 );
                    END;
sqlite> .schema SimilaritySettings
CREATE TABLE SimilaritySettings
                    (keyword TEXT NOT NULL UNIQUE,
                    value TEXT);
sqlite> .open digikam4.db
sqlite> .tables
AlbumRoots          ImageHistory        ImageRelations      Settings          
Albums              ImageInformation    ImageTagProperties  TagProperties     
DownloadHistory     ImageMetadata       ImageTags           Tags              
ImageComments       ImagePositions      Images              TagsTree          
ImageCopyright      ImageProperties     Searches            VideoMetadata     
sqlite> .schema Images
CREATE TABLE Images
                    (id INTEGER PRIMARY KEY,
                    album INTEGER,
                    name TEXT NOT NULL,
                    status INTEGER NOT NULL,
                    category INTEGER NOT NULL,
                    modificationDate DATETIME,
                    fileSize INTEGER,
                    uniqueHash TEXT,
                    manualOrder INTEGER,
                    UNIQUE (album, name));
CREATE INDEX dir_index  ON Images (album);
CREATE INDEX hash_index ON Images (uniqueHash);
CREATE INDEX image_name_index ON Images (name);
CREATE TRIGGER delete_image DELETE ON Images
                    BEGIN
                        DELETE FROM ImageTags          WHERE imageid=OLD.id;
                        DELETE From ImageInformation   WHERE imageid=OLD.id;
                        DELETE From ImageMetadata      WHERE imageid=OLD.id;
                        DELETE From VideoMetadata      WHERE imageid=OLD.id;
                        DELETE From ImagePositions     WHERE imageid=OLD.id;
                        DELETE From ImageComments      WHERE imageid=OLD.id;
                        DELETE From ImageCopyright     WHERE imageid=OLD.id;
                        DELETE From ImageProperties    WHERE imageid=OLD.id;
                        DELETE From ImageHistory       WHERE imageid=OLD.id;
                        DELETE FROM ImageRelations     WHERE subject=OLD.id OR object=OLD.id;
                        DELETE FROM ImageTagProperties WHERE imageid=OLD.id;
                        UPDATE Albums SET icon=null    WHERE icon=OLD.id;
                        UPDATE Tags SET icon=null      WHERE icon=OLD.id;
                    END;
sqlite>  .schema ImageInformation
CREATE TABLE ImageInformation
                    (imageid INTEGER PRIMARY KEY,
                    rating INTEGER,
                    creationDate DATETIME,
                    digitizationDate DATETIME,
                    orientation INTEGER,
                    width INTEGER,
                    height INTEGER,
                    format TEXT,
                    colorDepth INTEGER,
                    colorModel INTEGER);
CREATE INDEX creationdate_index ON ImageInformation (creationDate);
sqlite> .schema Albums
CREATE TABLE Albums
                    (id INTEGER PRIMARY KEY,
                    albumRoot INTEGER NOT NULL,
                    relativePath TEXT NOT NULL,
                    date DATE,
                    caption TEXT,
                    collection TEXT,
                    icon INTEGER,
                    UNIQUE(albumRoot, relativePath));
CREATE TRIGGER delete_album DELETE ON Albums
                BEGIN
                    DELETE FROM Images
                    WHERE Images.album = OLD.id;
                END;
sqlite> attach 'digikam4.db' as db1;
sqlite> attach 'similarity.db' as db2;
sqlite> select count(*) from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid2 = A.id and B.algorithm = 1.0 and A.album = C.id;
36796
sqlite> select relativePath || '/' || name from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid2 = A.id and B.algorithm = 1.0 and A.album = C.id group by relativePath;
...
sqlite> .output file_duplicate.txt
sqlite> select '.' || relativePath || '/' || name from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid2 = A.id and B.algorithm = 1.0 and A.album = C.id group by relativePath;

sqlite> select count(*) from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid2 = A.id and A.album = C.id and relativePath = '/2019/11/28';
654
sqlite> select count(*) from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid1 = A.id and A.album = C.id and relativePath = '/2019/11/28';
2545
sqlite> .output file_duplicate_2.txt
sqlite> select '.' || relativePath || '/' || name from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid2 = A.id and B.algorithm > 0.96 and A.album = C.id;
sqlite> .output file_duplicate_3.txt
sqlite> select '.' || relativePath || '/' || name from db1.Images as A, db2.ImageSimilarity as B, db1.Albums as C where B.imageid1 = A.id and B.algorithm > 0.96 and A.album = C.id;
sqlite> .quit

Ensuite pour la suppression j’ai fait :

Le lien de TAPForm sur l’Apple Store : https://itunes.apple.com/fr/app/tap-forms-base-de-donnees/id494995266?mt=12. J’estime que c’est la meilleure alternative à Bento.

Solution ( n°1 ) pour utilisateur de Bento avec une version >= 4.0 :

Attention : les utilisateurs de la dernière version de Bento peuvent utiliser cette méthode qui est beaucoup plus simple :

http://www.manula.com/manuals/tap-zapp/tap-forms-mac/3/en/topic/bento-template-importer.

Pour voir si vous avez la dernière version il faut faire : Bento -> Fichier -> Exporter -> Modèle (et il faut avoir une case à cocher indiquant d’inclure les données).