An interesting demo by combining OWL-ViT of Google and Segment Anything of Meta!
prompt: a bird with a yellow wing
- Detect and Segment everything with Language!
- Detect objects in more details (small objects)
- Image-conditioned detection and Text-condition detection
- Use Stable Diffusion to do inpainting
- OWL-ViT + Segment-Anything Demo
- Image-conditioned detection
- Inpainting using StableDiffusion
- Huggingface Demo
The code requires python>=3.8, as well as pytorch>=1.7 and torchvision>=0.8. Please follow the instructions here to install both PyTorch and TorchVision dependencies. Installing both PyTorch and TorchVision with CUDA support is strongly recommended.
Install Segment Anything:
python -m pip install -e segment_anythingInstall OWL-ViT (the OWL-ViT is included in transformer library):
pip install transformersMore details can be found in installation segment anything
- download segment-anything checkpoint
wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth- Run demo
bash run_demo.sh
Please give applause for IDEA-Research and OWL-ViT on HuggingFace
If you find this project helpful for your research, please consider citing the following BibTeX entry.
@article{kirillov2023segany,
title={Segment Anything},
author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'a}r, Piotr and Girshick, Ross},
journal={arXiv:2304.02643},
year={2023}
}
@misc{minderer2022simple,
title={Simple Open-Vocabulary Object Detection with Vision Transformers},
author={Matthias Minderer and Alexey Gritsenko and Austin Stone and Maxim Neumann and Dirk Weissenborn and Alexey Dosovitskiy and Aravindh Mahendran and Anurag Arnab and Mostafa Dehghani and Zhuoran Shen and Xiao Wang and Xiaohua Zhai and Thomas Kipf and Neil Houlsby},
year={2022},
eprint={2205.06230},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
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