Update README.md

README.md

@@ -165,8 +165,8 @@ dataloader = DataLoader(
 slide_features = []
 current_num_tiles = 0
 
-for i, (slide_ids, tile_ids, imgs) in tqdm(
-    enumerate(dataloader),
+for (slide_ids, tile_ids, imgs) in tqdm(
+    dataloader,
     total=ceil(num_slides * num_tiles / batch_size),
     desc="Extracting features"
 ):
@@ -176,7 +176,8 @@ for i, (slide_ids, tile_ids, imgs) in tqdm(
     if all(slide_id == reference_slide_id for slide_id in slide_ids):
         batch_stack = process_imgs(imgs, tile_ids)
         slide_features.append(batch_stack)
-        current_num_tiles += batch_size
+        # For the very last slide, the last batch may be of size < `batch_size`
+        current_num_tiles += batch_stack.shape[0]
         # If the current batch contains exactly the last `batch_size` tile features for the slide,
         # export the slide features and reset `slide_features` and `current_num_tiles`
         if current_num_tiles == num_tiles: