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SegGPT is a vision generalist on image segmentation, quite like GPTs for computer vision ✨
SegGPT is a vision generalist on image segmentation, quite like GPTs for computer vision ✨
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It comes with the last release of transformers 🎁  Demo and more in this post!
It comes with the last release of transformers 🎁  Demo and more in this post!
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SegGPT is an extension of the Painter, where you speak to images with images: the model takes in an image prompt, transformed version of the image prompt, the actual image you want to see the same transform, and expected to output the transformed image. 
SegGPT is an extension of the Painter, where you speak to images with images: the model takes in an image prompt, transformed version of the image prompt, the actual image you want to see the same transform, and expected to output the transformed image. 
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SegGPT consists of a vanilla ViT with a decoder on top (linear, conv, linear).
SegGPT consists of a vanilla ViT with a decoder on top (linear, conv, linear).
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The model is trained on diverse segmentation examples, where they provide example image-mask pairs, the actual input to be segmented, and the decoder head learns to reconstruct the mask output.
The model is trained on diverse segmentation examples, where they provide example image-mask pairs, the actual input to be segmented, and the decoder head learns to reconstruct the mask output.
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This generalizes pretty well! 
This generalizes pretty well! 
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The authors do not claim state-of-the-art results as the model is mainly used zero-shot and few-shot inference. They also do prompt tuning, where they freeze the parameters of the model and only optimize the image tensor (the input context). 
The authors do not claim state-of-the-art results as the model is mainly used zero-shot and few-shot inference. They also do prompt tuning, where they freeze the parameters of the model and only optimize the image tensor (the input context). 
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Thanks to 🤗 transformers you can use this model easily!
Thanks to 🤗 transformers you can use this model easily!
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See here 
See here 
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https://huggingface.co/docs/transformers/en/model_doc/seggpt
https://huggingface.co/docs/transformers/en/model_doc/seggpt
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I have built an app for you to try it out. I combined SegGPT with Depth Anything Model, so you don't have to upload image mask prompts in your prompt pair 🤗
I have built an app for you to try it out. I combined SegGPT with Depth Anything Model, so you don't have to upload image mask prompts in your prompt pair 🤗
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Try it here 
Try it here 
resource
https://huggingface.co/spaces/merve/seggpt-depth-anything
space
merve/seggpt-depth-anything
https://huggingface.co/spaces/merve/seggpt-depth-anything
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Also check out the collection 
Also check out the collection 
resource
https://huggingface.co/collections/merve/seggpt-660466a303bc3cd7559d271b
collection
merve/seggpt-660466a303bc3cd7559d271b
https://huggingface.co/collections/merve/seggpt-660466a303bc3cd7559d271b
SegGPT is a vision generalist on image segmentation, quite like GPTs for computer vision ✨
It comes with the last release of transformers 🎁  Demo and more in this post!
SegGPT is an extension of the Painter, where you speak to images with images: the model takes in an image prompt, transformed version of the image prompt, the actual image you want to see the same transform, and expected to output the transformed image. 
SegGPT consists of a vanilla ViT with a decoder on top (linear, conv, linear).
The model is trained on diverse segmentation examples, where they provide example image-mask pairs, the actual input to be segmented, and the decoder head learns to reconstruct the mask output.
This generalizes pretty well! 
The authors do not claim state-of-the-art results as the model is mainly used zero-shot and few-shot inference. They also do prompt tuning, where they freeze the parameters of the model and only optimize the image tensor (the input context). 
Thanks to 🤗 transformers you can use this model easily!
See here https://huggingface.co/docs/transformers/en/model_doc/seggpt
I have built an app for you to try it out. I combined SegGPT with Depth Anything Model, so you don't have to upload image mask prompts in your prompt pair 🤗
Try it here https://huggingface.co/spaces/merve/seggpt-depth-anything
Also check out the collection https://huggingface.co/collections/merve/seggpt-660466a303bc3cd7559d271b
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