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Technical Demos

This is a repository for a collection of technical demos made by Annotation-AI.

Segment Everything: CPU acceleration and promptable applications

Summary

Every demo doesn't use GPU resources, and they are served on CPU only instances.

Background

One of the most appealing applications of Segment Anything Model (SAM) is Everything, which detects and segments all objects in an image. However, it requires 1,024 inferences per a single image, and due to the reason, it is hard to be feasible for service providers who don’t have massive GPU resources. In order to handle this issue, we re-implemented the Everything algorithm in iterative manner that is better for CPU only environments. Mostly, we can expect comparable results to the original Everything within 1/5 number of inferences (e.g. 1024 vs 200), and it takes under 10 seconds to search for masks on a CPU upgrade instance (8 vCPU, 32GB RAM) of Huggingface space.

We named it Fast Segment Everything. You can run the DEMO in HuggingFace Space. everything

Applications: Promptable Segmentation

Based on Fast Segment Everything algorithm, we built a number of applications for promptable segmentation.: text, image, drawing, and click.

Title GIF Demo
Segment everything with a text prompt everything_text HuggingFace Space
Segment everything with an image prompt everything_img HuggingFace Space
Segment everything with a drawing prompt everything_drawing HuggingFace Space
Segment similar things! (Single click) similarthings HuggingFace Space

Person Re-Identification(Re-ID)

Person re-identification(Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. We implement Re-ID applications for various situations.

Title GIF Demo
Re-ID with query & gallery images person_reid_demo HuggingFace Space

technical-demo's People

Contributors

curt-park avatar mrsyee avatar

Stargazers

 avatar Foaad avatar  avatar  avatar Minchao Kang avatar Vishwa Parekh avatar  avatar  avatar  avatar Alex Wang avatar  avatar khh avatar Byung Jun Park avatar Lële avatar  avatar Minseong Kim avatar Daniel Caraballo avatar Nafi Ahmet Turgut avatar eunwoo avatar Chenhui Zhang avatar  avatar Adam Twardoch avatar Hyeonwoo Jeong avatar menorki manil avatar Heetae Han avatar  avatar Data Ng avatar Chul Kim avatar Jeong Hyunseok  avatar Bin Jang avatar Haneol Jang avatar Seonghun Choe avatar June.L avatar  avatar Sun Kim avatar Daehee Kim avatar Jeongrok Oh avatar samed avatar Youness Elbrag avatar Niyaz Bin Hashem avatar Dongmin Choi avatar suyeon.hwang avatar Wiseman Lim avatar Jahye Ha  avatar JeongMin Do avatar YongWoo Jeon avatar Jiwung Hyun avatar Yoon, Seungje avatar Faris Hijazi avatar Donghan Kim avatar Euijin Jeong avatar Than Lwin Aung avatar

Watchers

Jeong Hyunseok  avatar  avatar  avatar

technical-demo's Issues

Model Source Code

I want to use the HF space for my own personal needs.
I tried to get the models from Docker, and it seems that no code is available.
It would be much appreciated if I could get some help.
Thanks!

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