Slep/CondViT-B16-cat

Conditional ViT - B/16 - Categories

Introduced in LRVSF-Fashion: Extending Visual Search with Referring Instructions, Lepage et al. 2023

Data	Code	Models	Spaces
Full Dataset	Training Code	Categorical Model	LRVS-F Leaderboard
Test set	Benchmark Code	Textual Model	Demo

General Infos

Model finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning categories are the following :

• Bags
• Feet
• Hands
• Head
• Lower Body
• Neck
• Outwear
• Upper Body
• Waist
• Whole Body

Research use only.

How to Use

from PIL import Image
import requests
from transformers import AutoProcessor, AutoModel
import torch

model = AutoModel.from_pretrained("Slep/CondViT-B16-cat")
processor = AutoProcessor.from_pretrained("Slep/CondViT-B16-cat")

url = "https://huggingface.co/datasets/Slep/LAION-RVS-Fashion/resolve/main/assets/108856.0.jpg"
img = Image.open(requests.get(url, stream=True).raw)
cat = "Bags"

inputs = processor(images=[img], categories=[cat])
raw_embedding = model(**inputs)
normalized_embedding = torch.nn.functional.normalize(raw_embedding, dim=-1)