Running Tensorflow on RICOH THETA V
I’ll show you how I successfully installed Tensorflow as a RICOH THETA V plug-in
Application Overview
I’ll show you how to use four Tensorflow demo applications running on the RICOH THETA V.
- Automatically classify objects in the THETA range of view
- Detect objects such as people
- Stylize images
- Talk to the THETA and activate demo buttons on the screen
Requirements
- RICOH THETA V in developer mode (it’s free to put the camera in developer mode)
- theta-tensorflow-demo.apk (or compile it yourself from GitHub)
- Vysor (used to set app permissions)
- adb, part of Android Studio
I’ll cover the basic installation at the end of this article. For more information on working with plug-ins, see the Plug-in Developer Guide.
Demo Overview
The demos below are shown running directly on the RICOH THETA V. The screenshots are from Vysor, which is a tool to show a virtual Android screen from the THETA V on your computer. The demos are based on the workshop created by Makoto Shohara. He modified the demos from the Tensorflow Android demos.
Tensor Flow Detect
correctly identify person. It thinks the computer monitor is a TV.
The application automatically takes a picture.
Testing Tensorflow Stylize
Testing Tensorflow Speech
I say, “Left” to the THETA V and Tensorflow detects it.
Tensorflow Classify
Installation
- Download theta-tensorflow-demo.apk or compile from GitHub repo
- Connect your THETA V to your computer with a USB cable
- Run the command
adb install theta-tensorflow-demo.apk
Set Plug-in Permissions
- Start Vysor
- Go into Settings
- Go to Apps
- Select TensorFlow Demo
- Select App permissions
- Enable permissions as shown in the screenshot below
Run Applications
There are four applications you can use. With the camera still connected to your computer with a USB cable, click on the application you want to run in Vysor.
The camera will automatically start to run. The lens opposite the shutter button is the center of the equirectangular image.
