This is in addition to 2 LinearLayout views-1 as the layout root, and 2 others that will be discussed shortly. The layout has a total of 6 views (3 TextView, 2 EditText, and 1 Button). The Android activity layout XML file is listed below. Before talking about using OkHttp, let’s discuss the main activity layout. It’s a simple and recommended library for this purpose. This tutorial uses OkHtpp for establishing an HTTP connection to the Flask server. The implementation of this project is available on GitHub: The received byte array is then converted into an image to be saved on the disk.
The selected image is converted into a byte array which is then received at the Flask server using its socket information (i.e. An image is selected from Android storage via an Intent.
The Flask app receives this request and replies with a confirmation message that the connection is successful.Īfter that, the Android app is modified to upload an image to the Flask server. The tutorial starts by building a simple example in which the Android app just makes an HTTP POST message for sending a text. The HTTP requests and responses are handled in Android using OkHttp. Through this tutorial, a project will be built in which an Android client-side application uploads an image to a server-based application created in Python using Flask. The mobile device simply uploads images to the server to be classified by such a network so the device itself doesn’t have to run inference. Through a couple of tutorials, we’ll work through a project in which a pre-trained neural network is deployed to a server. If a deep neural network, for example, is to be trained on a large dataset with thousands of images, mobile devices are not a great option for training rather, we need to us a machine with much more resources. As the number of images increases, however, the device may run out of RAM.
For example, doing some calculations on an image or a couple of images. Some calculations can be executed on such limited-resources devices. tOnClickListener(new View.Mobile devices are limited in their resources compared to PCs.
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