EyeQ-Foundation

EyeQ-Foundation is a repository contains some zero shot computer vision models. The aim of this project is to make process automatic. For example automatic label service.

Funcationalities:

• Zero Shot Object Detection
• Auto Label image from directory
• REST API service
• Pip installation
• Docker installatin for REST Server using FastAPI
• CLIP to correctly identify the labels

Available Models:

• Segment Anything
• Grounding Dino

TODO:

• Segment Anything HQ
• Batched Inference
• RAM
• Tag2Text
• Knowledge Distillation application
• CLIP

How to use

Pip Package:

Installation:

pip install git+https://github.com/facebookresearch/segment-anything.git
pip install git+https://github.com/IDEA-Research/GroundingDINO.git
pip install git+https://github.com/openai/CLIP.git

Usage in code:

from eyeq_foundation import SAM, Dino
teacher_model = SAM()

Docker Service:

Build :

docker build -t eyeq-foundation -f docker/Dockerfile-cpu .

Start:

docker run -d --name eyeq-foundation -p 9000:9000 eyeq-foundation

Logs:

docker container logs eyeq-foundation