new prepare

benchmarks/torchvision/prepare.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 
 import argparse
-from collection import defaultdict
+from collections import defaultdict
 import multiprocessing
 import os
 from pathlib import Path
@@ -48,13 +48,10 @@ def generate(image_size, n, outdir, start = 0):
 
 
 def count_images(path):
-    count = defaultdict(0)
+    count = defaultdict(int)
     for root, _, files in tqdm(os.walk(path)):
-        try: 
-            _, split, _ = root.split('/')
-            count[split] += len(files)
-        except:
-            pass
+        split = root.split('/')[-2]
+        count[split] += len(files)
 
     return count
 
@@ -71,7 +68,7 @@ def generate_sets(root, sets, shape):
 
         if current_count < count:
             print(f"Generating {split} (current {current_count}) (target: {count})")
-            generate(shape, count, os.path.join(root, split), start=current_count)
+            generate(shape, count - current_count, os.path.join(root, split), start=current_count)
 
     with open(sentinel, "w") as fp:
         json.dump(sets, fp)