[FEATURE] Put every class in training set

tools/im2rec.py

@@ -90,6 +90,19 @@ def write_list(path_out, image_list):
             line += '%s\n' % item[1]
             fout.write(line)
 
+
+def each_class_to_beginning(image_list: list):
+    """Take off one photo of each class"""
+    images = {}
+    for elt in image_list:
+        cls = elt[-1]
+        if cls not in images:
+            images[cls] = elt
+    unique_classes = list(images.values())
+    for elt in unique_classes:
+        image_list.remove(elt)
+    return unique_classes + image_list
+
 def make_list(args):
     """Generates .lst file.
     Parameters
@@ -101,6 +114,7 @@ def make_list(args):
     if args.shuffle is True:
         random.seed(100)
         random.shuffle(image_list)
+        image_list = each_class_to_beginning(image_list)
     N = len(image_list)
     chunk_size = (N + args.chunks - 1) // args.chunks
     for i in range(args.chunks):
@@ -115,10 +129,10 @@ def make_list(args):
             write_list(args.prefix + str_chunk + '.lst', chunk)
         else:
             if args.test_ratio:
-                write_list(args.prefix + str_chunk + '_test.lst', chunk[:sep_test])
+                write_list(args.prefix + str_chunk + '_test.lst', chunk[sep:sep+sep_test])
             if args.train_ratio + args.test_ratio < 1.0:
-                write_list(args.prefix + str_chunk + '_val.lst', chunk[sep_test + sep:])
-            write_list(args.prefix + str_chunk + '_train.lst', chunk[sep_test:sep_test + sep])
+                write_list(args.prefix + str_chunk + '_val.lst', chunk[sep+sep_test:])
+            write_list(args.prefix + str_chunk + '_train.lst', chunk[:sep])
 
 def read_list(path_in):
     """Reads the .lst file and generates corresponding iterator.