U^2-Net HTTP

This is an HTTP service wrapper of the model: U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection (Qin et al, Pattern Recognition 2020)

The deploy folder contains configuration files for deployment as serverless container with Knative.

Usage:

docker run --rm -p 8080:80 docker.io/cyrildiagne/u2net-http

Test:

curl -F "data=@test.jpg" http://localhost:8080 -o result.png

Development

• Clone this repository: git clone https://github.com/cyrildiagne/u2net-http.git
• Go into the cloned directory: cd u2net-http
• Clone the official U^2-Net repository
• Download the pretrained model u2net.pth
• Put the file inside the U-2-Net/saved_models/u2net/ folder.

Build from source:

Option 1 - Locally with virtualenv

virtualenv venv
venv/bin/activate

pip install torch==0.4.1
pip install -r requirements.txt

python main.py

Option 2 - Using Docker

After you've retrieved the U^2-Net model.

Download Resnet checkpoint

curl https://download.pytorch.org/models/resnet34-333f7ec4.pth -o resnet34-333f7ec4.pth

docker build -t u2net .
docker run --rm -p 8080:8080 u2net