Views
No views yet
1# code in src/demo.py
2import model
3from transformers import pipeline
4from transformers.image_utils import load_image
5
6pipe = pipeline(
7 task='sscd-copy-detection',
8 model='m3/sscd-copy-detection',
9 batch_size=10,
10 device='cpu',
11)
12
13vec1 = pipe(load_image("http://images.cocodataset.org/val2017/000000039769.jpg"))
14vec2 = pipe(load_image("http://images.cocodataset.org/val2017/000000039769.jpg"))
15
16import torch.nn.functional as F
17cos_sim = F.cosine_similarity(vec1, vec2, dim=0)
18print('similarity:', cos_sim.item())