by Summary
The IBM Model Asset eXchange (MAX) models that are hosted on the Machine Learning eXchange (https://ml-exchange.org/models/) have offered application designers without information science experience simple access to prebuilt artificial intelligence models. This code pattern shows how to produce an easy web application to picture the text output of a MAX model. The web app utilizes the Object Detector from MAX and produces a simple web UI that shows bounding boxes around spotted objects in an image and lets you filter the things based upon their label and possible accuracy given by the model.
Description
This code pattern utilizes one of the designs from the Model Asset eXchange, an exchange where you can discover and experiment with open source deep discovering models. The server hosts a client-side web UI and communicates API calls to the model from the web UI to a REST end point for the model. The web UI takes in an image and sends it to the model REST endpoint through the server and shows the spotted items on the UI.
When you have finished this code pattern, you understand how to:
Guidelines
All set to put this code pattern to utilize? Complete information on how to start running and using this application are in the README.
Flow
The IBM Model Asset eXchange (MAX) models that are hosted on the Machine Learning eXchange (https://ml-exchange.org/models/) have given application designers without data science experience easy access to prebuilt machine learning designs. The web app utilizes the Object Detector from MAX and develops a simple web UI that displays bounding boxes around identified things in an image and lets you filter the things based on their label and possible accuracy provided by the design.
This code pattern utilizes one of the models from the Model Asset eXchange, an exchange where you can discover and experiment with open source deep discovering models. The server hosts a client-side web UI and relays API calls to the design from the web UI to a REST end point for the design.
The user uses the web UI to send an image to the Model API.
The Model API returns the object data and the web UI displays the identified objects.
The user connects with the web UI to see and filter the discovered items.
Develop a Docker picture of the Object Detector MAX model
Release a deep knowing model with a REST endpoint
Recognize items in an image using the MAX models REST API
Run a web application that utilizes the models REST API
