Table of contents
Introduction
This explanation assumes that the i-PRO camera application development environment has been completed.
If you are not ready to build the development environment, please refer to here to complete it.
Also, in this tutorial, the SDK installation directory is described as ${SDK_DIR}.
Operation overview
docker_ocr_app is a sample application that reads characters from images taken by a camera and displays the read characters.
docker_ocr_app can only be built with Container Adamapp supported by SDK v.2.00 or later. Cannot be built with SDK below v2.00.
External libraries required for operation
To build with Python, need below:
tesseract
Directory path of the sample app
The C/C++ source code is stored below.
${SDK_DIR}/src/adamapp/docker_ocr_app
No python source code.
How to build the sample app (C/C++)
See here for building with C/C++.
How to use the sample app
As shown below, add text to the image taken by the camera when you start the app.
If character recognition is successful, the recognized characters will be displayed as shown below.
Due to the low accuracy of character recognition, characters may not be readable depending on the environment. Try changing the font and size of the text.
Appendix
How to change preferences
This application has several settings that users can change. Below is a list of settings that users can currently change.
Resoultion:
Resolution to get jpeg images.
"160x90", "320x180", "640x360", "1280x720", "1920x1080", "2560x1440", "3840x2160", "160x120", "320x240", "400x300", "640x480", "800x600", "1280x960", "1600x1200", "2048x1536", "2560x1920", "4000x3000", "320x320", "640x640", "1280x1280", "2192x2192", "2992x2992"
However, by the ability of the camera, it may not work with the specified value.Frame rate:
Frame rate to get YC(YUV) images which are encoded to jpeg images.
Specify 1 or more.
However, by the ability of the camera, it may not work with the specified value.