Fork of caidas/DAT-x2 for a image-to-image
Inference endpoint.
Inspired by https://huggingface.co/sergeipetrov/dat-x2-ie
This repository implements a custom
task for image-to-image
for 🤗 Inference Endpoints to allow image up scaling by doubling image resolution.
The code for the customized pipeline is in the handler.py.
To use deploy this model an Inference Endpoint you have to select Custom
as task to use the handler.py
file.
expected Request payload
Image to be labeled as binary.
CURL
curl URL \
-X POST \
--data-binary @car.png \
-H "Content-Type: image/png"
Python
requests.post(ENDPOINT_URL, headers={"Content-Type": "image/png"}, data=open("car.png", 'rb').read()).json()