arwinneil/docker-vision repository overview

⁠How to build:

docker build -t .

⁠How to run locally:

docker run -p 127.0.0.1:80:80 -d

Then use your favorite tool to connect to the end points.

POST http://127.0.0.1/image⁠ with multipart/form-data using the imageData key e.g curl -X POST http://127.0.0.1/image⁠ -F imageData=@some_file_name.jpg

POST http://127.0.0.1/image⁠ with application/octet-stream e.g. curl -X POST http://127.0.0.1/image⁠ -H "Content-Type: application/octet-stream" --data-binary @some_file_name.jpg

POST http://127.0.0.1/url⁠ with a json body of { "url": "" } e.g. curl -X POST http://127.0.0.1/url⁠ -d '{ "url": "" }'

For information on how to use these files to create and deploy through AzureML check out the readme.txt in the azureml directory.