Update README.md

README.md

@@ -1,26 +0,0 @@
-from transformers import SegformerImageProcessor, AutoModelForSemanticSegmentation
-from PIL import Image
-import requests
-import matplotlib.pyplot as plt
-import torch.nn as nn
-
-processor = SegformerImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes")
-model = AutoModelForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_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 = processor(images=image, return_tensors="pt")
-
-outputs = model(**inputs)
-logits = outputs.logits.cpu()
-
-upsampled_logits = nn.functional.interpolate(
-    logits,
-    size=image.size[::-1],
-    mode="bilinear",
-    align_corners=False,
-)
-
-pred_seg = upsampled_logits.argmax(dim=1)[0]
-plt.imshow(pred_seg)