Viewing for nearest color

image_list.py

@@ -238,8 +238,10 @@ def append_colors(sqlfile):
     conn.commit()
     return
 
-def find_color_nearest(sqlfile,src):
+def find_color_nearest(opts):
-    conn=sqlite3.connect(sqlfile)
+    """ Find closest matching images to given RGB color """
+    src=opts.nearestcolor
+    conn=sqlite3.connect(opts.sqlfile)
     conn.text_factory=str
     db=conn.cursor()
     src=[float(i) for i in src.strip().strip('"').split(',')]
@@ -247,9 +249,20 @@ def find_color_nearest(sqlfile,src):
         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]))
+    hits=[]
     for hit in db:
-        print "%(f)s : D %(d).2f (RGB %(r).2f,%(g).2f,%(b).2f)" % {'f':hit[0],'d':hit[1], 
+        hits.append(hit)
-                    'r':hit[2],'g':hit[3], 'b':hit[4]}
+                    
+    file_len=str(max([len(x[0]) for x in hits]))
+    for c in range(len(hits)):
+        print( ('{: <'+file_len+'} D {:.2f} (RGB {:.2f},{:.2f},{:.2f})').format(hits[c][0],
+                                                                         hits[c][1],
+                                                                         hits[c][2],
+                                                                         hits[c][3],
+                                                                         hits[c][4]))
+    if opts.viewer:
+        fnames=[x[0] for x in hits]
+        subprocess.call(opts.viewer.replace('%f', " ".join(fnames)), shell=True)
     return
 
 def get_colors(filename):
@@ -580,7 +593,7 @@ def main():
         print('Random lists...')
         random_lists(options.sqlfile)
     if options.nearestcolor:
-        find_color_nearest(options.sqlfile,options.nearestcolor)
+        find_color_nearest(options)
     if options.similarity!=None:
         if os.path.exists(options.similarity):
             find_fingerprint_nearest(options)