Image Segmentation Using Text and Image Prompts
Paper • 2112.10003 • Published • 1
# Load model directly
from transformers import AutoProcessor, CLIPSegForImageSegmentation
processor = AutoProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined")Quick Links
CLIPSeg model
CLIPSeg model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper Image Segmentation Using Text and Image Prompts by Lüddecke et al. and first released in this repository.
Intended use cases
This model is intended for zero-shot and one-shot image segmentation.
Usage
Refer to the documentation.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="CIDAS/clipseg-rd64-refined")