fix: README label table layout

README.md

@@ -42,18 +42,14 @@ ATR is a large single-person human parsing dataset with 17 000+ images focused o
 
 ## Labels
 
-| ID | Label | ID | Label |
-|----|-------|----|-------|
-| 0 | Background | 10 | Right-shoe |
-| 1 | Hat | 11 | Face |
-| 2 | Hair | 12 | Left-leg |
-| 3 | Sunglasses | 13 | Right-leg |
-| 4 | Upper-clothes | 14 | Left-arm |
-| 5 | Skirt | 15 | Right-arm |
-| 6 | Pants | 16 | Bag |
-| 7 | Dress | 17 | Scarf |
-| 8 | Belt | | |
-| 9 | Left-shoe | | |
+| ID | Label | ID | Label | ID | Label |
+|----|-------|----|---------|----|-------|
+| 0 | Background | 6 | Pants | 12 | Left-leg |
+| 1 | Hat | 7 | Dress | 13 | Right-leg |
+| 2 | Hair | 8 | Belt | 14 | Left-arm |
+| 3 | Sunglasses | 9 | Left-shoe | 15 | Right-arm |
+| 4 | Upper-clothes | 10 | Right-shoe | 16 | Bag |
+| 5 | Skirt | 11 | Face | 17 | Scarf |
 
 ## Usage — PyTorch
 
@@ -62,7 +58,7 @@ from transformers import AutoImageProcessor, AutoModelForSemanticSegmentation
 from PIL import Image
 import torch
 
-model     = AutoModelForSemanticSegmentation.from_pretrained("pirocheto/schp-atr-18", trust_remote_code=True)
+model = AutoModelForSemanticSegmentation.from_pretrained("pirocheto/schp-atr-18", trust_remote_code=True)
 processor = AutoImageProcessor.from_pretrained("pirocheto/schp-atr-18", trust_remote_code=True)
 
 image = Image.open("photo.jpg").convert("RGB")