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

web_template_app is a sample app that detects the detection target according to the settings.
You can detect the detection target according to the settings as shown below.

External libraries required for operation

To build with C/C++, need below:

libjpeg

To build with Python, need below:

Numpy
OpenCV

The use of external libraries will be explained later.

Directory path of the sample app

The C/C++ source code is stored below.

${SDK_DIR}/src/adamapp/web_template_app

The Python source code is stored below.

${SDK_DIR}/src/adamapp-py/web_template_app

How to build the sample app (C/C++)

See here for building with C/C++.

However, the header file to be used must be stored below.
Please refer to ADD_INCLUDE_PATH in Makefile for details.

${SDK_DIR}/src/adamapp/web_template_app\external\include\libjpeg-turbo-1.5.3

You can confirm that it works by storing the file below.

jconfig.h
jerror.h
jmorecfg.h
jpeglib.h

Also, in the C/C++ version, you can select whether or not to display developer comments at build time. Make as shown below.
【With developer comments displayed】
make clean
make CFLAG=BASIC_MSG

【No developer comments displayed】
make clean
make