nanowire-flask 0.0.22

Tool for creating nanowire tools with the flask structure.

This library is designed to allow a python developer to easily create a nanowire plugin using the flask APIs structure.

The function you mount, using the class ImagesAPI, must have the arguments img and variables if you want initialise a model or other variables when the sever starts you may make the function to be mounted into a function of a class which is initiated with the des$ You should expect img to be a PIL RGB image object and variables to be a dictionary containing the variables sent to the plugin in the curl request.

The curl requests for images may be formatted 2 ways. The first involves sending the image as a file attached to the curl request. For example:

curl -F "image=@./1.jpg" -XPOST http://0.0.0.0:5000/model/predict?threshold=0.5

alternatively the file may be sent as a link using a dictionary eg.

curl -X POST -H "Content-Type:application/json" -d '{"contentURL":"http://127.0.0.1:8000/1.jpg", "threshold":0.5}' http://0.0.0.0:5000/model/predict

At the moment it can only handle images however it will soon be expanded to handle text and eventually video and sound. The currently supported image formats are:

• jpg

• png

• bmp

• tif

• ppm

Notes for advanced users

mount_Image_function

Parameters

• function :- The function to be mounted on the API. The function must take img and variable as arguments and return a dictionary

• debug_mode ^optional:- default is False. Set to true to activate debug mode. When active will return full traceback from API when an error occurs during processing.Input must be boolean.

• host ^optional:- default is ‘0.0.0.0’. Set the IP address to host the API on

• port ^optional:- default 5000. Set the port to host the API on

• path ^optional:- default ‘/model/predict’. Set the path for the API