Update Real_captured.md

docs/Real_captured.md

@@ -50,7 +50,7 @@
 
 3. For fast validation, we validate 20 synthetic images instead of the real-captured images every 50,000 iterations, since real-captured images are typically 4K or 8K resolution.
 
-    - If you'd like to validate directly on real-captured images, open the `DualDn_Big.yml` file, set `mode` in `datasets/val/Real_captured` to `true` and set `mode` in `datasets/val/Synthetic` to `false`.
+    - If you'd like to validate directly on real-captured images, open the `DualDn_Big.yml` file, set `mode` in `datasets/val/val_datasets/Real_captured` to `true` and set `mode` in `datasets/val/val_datasets/Synthetic` to `false`.
     - We recommend evaluating on real-captured images after training using the following test or inference code.
 
 4. Find the training results in `'./experiments'`