Color info added

image_list.py

@@ -30,6 +30,10 @@ def setup_options():
                      help="Create randomized files for landscape and portrait images [%(default)s]")
     parser.add_argument("-s",type=str,dest="search",default=False,
                       help="Search list based on path pattern")
+    parser.add_argument("--color",action="store_true",dest="colors",default=False,
+                     help="Append list with mean color information This option will flip the 'Add new files' option. [%(default)s]")
+    parser.add_argument("--nearest",type=str,dest="nearestcolor",default=False,
+                     help="Search list for nearest mean color. format: R,G,B in float 0-1. Add fourth value to limit search to number")
     parser.add_argument("--dup",action="store_true",dest="duplicate",default=False,
                      help="Return a list of duplicate files, based on hashes. This option will flip the 'Add new files' option. [%(default)s]")
     parser.add_argument("--del",action="store_true",dest="deleteFiles",default=False,
@@ -42,7 +46,7 @@ def setup_options():
     
     options=parser.parse_args()
     BADDIRS.extend(options.exclude)
-    if options.duplicate or options.searchsmall:
+    if options.duplicate or options.searchsmall or options.colors:
         options.add=not options.add
     return options
 
@@ -52,7 +56,8 @@ def createdb(sqlfile):
     conn.text_factory=str
     db.execute('CREATE TABLE list (id INTEGER PRIMARY KEY AUTOINCREMENT,\
                file TEXT,date INTEGER,portrait NUMERIC, hash TEXT,\
-               width INTEGER,height INTEGER)')
+               width INTEGER,height INTEGER,\
+               R REAL,G REAL, B REAL, BR REAL, BG REAL, BB REAL)')
     conn.commit() 
     return
 
@@ -202,6 +207,60 @@ def get_dims(filename):
     out, err = p.communicate()
     return (out.strip().split('x'))
 
+def append_colors(sqlfile):
+    conn=sqlite3.connect(sqlfile)
+    conn.text_factory=str
+    db=conn.cursor()
+    dbh=conn.cursor()
+    db.execute("SELECT file,R FROM list WHERE R IS NULL ORDER BY file")
+    i=0
+    for row in db:
+        colors=get_colors(row[0])
+        dbh.execute("UPDATE list SET R=?, G=?, B=?, BR=?, BG=?, BB=? \
+               WHERE file=?",(colors[0][0],colors[0][1],colors[0][2],
+                              colors[1][0],colors[1][1],colors[1][2],row[0]))
+        print "colors: %(f)s (%(r)s %(g)s %(b)s)" % {'f':row[0], 'r':colors[0][0], 
+                                    'g':colors[0][1], 'b':colors[0][2]}
+        i+=1
+        if (i%50==0):
+            conn.commit();
+    conn.commit()
+    return
+
+def find_color_nearest(sqlfile,src):
+    conn=sqlite3.connect(sqlfile)
+    conn.text_factory=str
+    db=conn.cursor()
+    src=[float(i) for i in src.strip().strip('"').split(',')]
+    if len(src)==3:
+        src.append(1)
+    db.execute("SELECT file, ABS(BR-?)+ABS(BG-?)+ABS(BB-?) as K,BR,BG,BB FROM list ORDER BY K LIMIT ?",
+                        (src[0],src[1],src[2],src[3]))
+    for hit in db:
+        print "%(f)s : D %(d).2f (RGB %(r).2f,%(g).2f,%(b).2f)" % {'f':hit[0],'d':hit[1], 
+                    'r':hit[2],'g':hit[3], 'b':hit[4]}
+    return
+
+def get_colors(filename):
+    small_args=['convert',filename+'[0]','-resize','10x10!','TEXT:-']
+    p=subprocess.Popen(small_args,stdout=subprocess.PIPE)
+    img, err = p.communicate()
+    mean_args=['convert','-','-format','"%[fx:mean.r],%[fx:mean.g],%[fx:mean.b]"','info:-']
+    p=subprocess.Popen(mean_args,stdout=subprocess.PIPE,stdin=subprocess.PIPE)
+    mean, err = p.communicate(input=img)
+    mean_args=['convert','-',
+      '(','+clone','-gravity','North','-crop','10x1+0+0','-write','mpr:top','+delete',')',
+      '(','+clone','-gravity','South','-crop','10x1+0+0','-write','mpr:bot','+delete',')',
+      '(','+clone','-gravity','West','-crop','1x10+0+0','-rotate','90','-write','mpr:lef','+delete',')',
+      '(','+clone','-gravity','East','-crop','1x10+0+0','-rotate','90','-write','mpr:rig','+delete',')',
+      '+delete','mpr:top','mpr:bot','mpr:lef','mpr:rig','+append',
+        '-format','"%[fx:mean.r],%[fx:mean.g],%[fx:mean.b]"','info:-']
+    p=subprocess.Popen(mean_args,stdout=subprocess.PIPE,stdin=subprocess.PIPE)
+    border, err = p.communicate(input=img)
+    mean=[float(i) for i in mean.strip().strip('"').split(',')]
+    border=[float(i) for i in border.strip().strip('"').split(',')]
+    return (mean,border)
+
 def searchdb(sqlfile,needle):
     conn=sqlite3.connect(sqlfile)
     conn.text_factory=str
@@ -287,6 +346,8 @@ def find_smalls(minsize,sqlfile):
     flist.append(('smalls',smalls))
     return flist
 
+
+
 def print_structure(files):
     for hash in files:
         #print(hash[0])
@@ -314,12 +375,18 @@ def main():
     if options.search:
         print_structure(searchdb(options.sqlfile,options.search))
         sys.exit(0)
+    if options.nearestcolor:
+        find_color_nearest(options.sqlfile,options.nearestcolor)
+        sys.exit(0)
     if options.delete:
         print('Deleting entries...') 
         delete_nonexisting(options.sqlfile)
     if options.add or options.changed:
         print('Adding entries...')
         add_recurse(options)
+    if options.colors:
+        print('Adding colors...')
+        append_colors(options.sqlfile)
     if options.random:
         print('Random lists...')
         random_lists(options.sqlfile)
@@ -338,5 +405,6 @@ def main():
         
     sys.exit(0)
 
-main()
+if __name__ == "__main__":
+    main()