commit1

FoodNoFood.py

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