This was done for image identification of any particular classification of images that are identified by a script trained on data sets and has the intelligence to identify a good number of objects and give generic info about it.
The overview of the idea is to create an image that captures an image and delegates it to a server where the script(ML trained script) is present and get the processed result and publish it to the user. The delegation method is via a rest call from the app to the server port where the script is running.
The current plan is to run a python flask app in a certain port in the localhost and make Rest calls from the app(In the form of threads that run in the background.) and process information obtained from the server and store it in the database.
Step 1: Building a simple hello world flask app.
Python flask app build tutorial - https://code.tutsplus.com/tutorials/creating-a-web-app-from-scratch-using-python-flask-and-mysql--cms-22972
Step 2: RestFul API supported android application.
Watching a tutorial on lynda.com - https://www.lynda.com/Android-tutorials/Integrating-Android-Apps-RESTful-Web-Services/560057-2.html
Watching a tutorial on lynda.com - https://www.lynda.com/Android-tutorials/Integrating-Android-Apps-RESTful-Web-Services/560057-2.html
I didn't have a subscription to lynda.com. But there is a workaround to get access to a good set of tutorials for free.
You can go ahead and pay the subscription and use the services. But just in case you want to try the workaround. Please watch the following video and create a free subscription account on lynda.com
Link: https://www.youtube.com/watch?v=P9iPbB0vmNA
You can go ahead and pay the subscription and use the services. But just in case you want to try the workaround. Please watch the following video and create a free subscription account on lynda.com
Link: https://www.youtube.com/watch?v=P9iPbB0vmNA
Note: Started working on it and currently put on hold due to other commitments. Will write follow up update posts when I get back to working on it. Until then, see you. Happy coding! :)
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