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Browse files- FoodNoFood.py +16 -0
FoodNoFood.py
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from PIL import Image
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import requests
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from transformers import CLIPProcessor, CLIPModel
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def food_not_food(input_image):
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model = CLIPModel.from_pretrained("flax-community/clip-rsicd-v2")
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processor = CLIPProcessor.from_pretrained("flax-community/clip-rsicd-v2")
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labels = ["food", "not food"]
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inputs = processor(text=[f"a photo of a {l}" for l in labels], images=input_image, return_tensors="pt", padding=True)
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outputs = model(**inputs)
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logits_per_image = outputs.logits_per_image
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prob = logits_per_image.softmax(dim=1).detach().cpu().numpy().argmax(axis=1)
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return labels[prob[0]]
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