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[GH-ISSUE #380] Question on the example: #327
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openai/CLIP#327
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Originally created by @shersoni610 on GitHub (Jul 22, 2023).
Original GitHub issue: https://github.com/openai/CLIP/issues/380
Hello,
I see the following example on the page:
Qs: (1) we are calculate image and text features, but they are not being used in the code.
(2) Are the arguments to the model (image,text) or (image_feature, text_features)
Thanks
mport torch
import clip
from PIL import Image
device = "cuda" if torch.cuda.is_available() else "cpu"
model, preprocess = clip.load("ViT-B/32", device=device)
image = preprocess(Image.open("CLIP.png")).unsqueeze(0).to(device)
text = clip.tokenize(["a diagram", "a dog", "a cat"]).to(device)
with torch.no_grad():
image_features = model.encode_image(image)
text_features = model.encode_text(text)
print("Label probs:", probs) # prints: 0.9927937 0.00421068 0.00299572
@jongwook commented on GitHub (Jul 26, 2023):
Those are intentional. Please see: