Update to image processor

README.md

@@ -17,19 +17,19 @@ SegFormer model fine-tuned on [ATR dataset](https://github.com/lemondan/HumanPar
 The dataset on hugging face is called "mattmdjaga/human_parsing_dataset".
 
 ```python
-from transformers import AutoFeatureExtractor, SegformerForSemanticSegmentation
+from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
 from PIL import Image
 import requests
 import matplotlib.pyplot as plt
 import torch.nn as nn
 
-extractor = AutoFeatureExtractor.from_pretrained("mattmdjaga/segformer_b0_clothes")
+processor = AutoImageProcessor.from_pretrained("mattmdjaga/segformer_b0_clothes")
 model = SegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b0_clothes")
 
 url = "https://plus.unsplash.com/premium_photo-1673210886161-bfcc40f54d1f?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8cGVyc29uJTIwc3RhbmRpbmd8ZW58MHx8MHx8&w=1000&q=80"
 
 image = Image.open(requests.get(url, stream=True).raw)
-inputs = extractor(images=image, return_tensors="pt")
+inputs = processor(images=image, return_tensors="pt")
 
 outputs = model(**inputs)
 logits = outputs.logits.cpu()