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d67de06
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1 Parent(s): 32fd542

Create visiontransformer

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  1. visiontransformer +16 -0
visiontransformer ADDED
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+ from transformers import ViTFeatureExtractor, ViTForImageClassification
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+ from PIL import Image
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+ import requests
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+
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+ url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
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+ image = Image.open(requests.get(url, stream=True).raw)
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+
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+ feature_extractor = ViTFeatureExtractor.from_pretrained('google/vit-base-patch16-224')
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+ model = ViTForImageClassification.from_pretrained('google/vit-base-patch16-224')
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+
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+ inputs = feature_extractor(images=image, return_tensors="pt")
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+ outputs = model(**inputs)
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+ logits = outputs.logits
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+ # model predicts one of the 1000 ImageNet classes
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+ predicted_class_idx = logits.argmax(-1).item()
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+ print("Predicted class:", model.config.id2label[predicted_class_idx