Overview
What is A2A-HSS
A2A-HSS stands for 'Adapt Foundational Segmentation Space with Heterogeneous Searching Space'. It is a project aimed at enhancing segmentation tasks in various domains by adapting foundational models to heterogeneous searching environments.
How to Use
To use A2A-HSS, first install the required dependencies by running 'pip install -r requirements.txt'. Then, install the Segment Anything model using 'pip install git+https://github.com/facebookresearch/segment-anything.git'. Configure the dataset paths in 'config.py' and initiate training with 'python train.py --checkpoint ../segment-anything/checkpoints/sam_vit_h_4b8939.pth --model_type vit_h'.
Key Features
Key features of A2A-HSS include compatibility with Python 3.10 and PyTorch 2.0.1, integration with the Segment Anything model, customizable dataset paths, and the ability to evaluate searched policies during training.
Where to Use
A2A-HSS can be utilized in fields such as medical image segmentation, computer vision research, and any domain requiring advanced segmentation techniques.
Use Cases
Use cases for A2A-HSS include segmenting medical images for diagnosis, enhancing image analysis in research, and improving object detection in various applications.
Content
A2A
Python A2A
Awesome A2A
adk-go
A2A LangGraph
AP2
octelium
adk-go
MultiAgentPPT
