README.md

dummy_console_app

Simplest console application for basic Extended Object Detection project testing.
For project documentation please follow link.
For more advanced version please use QT GUI.

Install

(Tested on Linux Kubuntu 20.04 LTS) You must have OpenCV 4.2.0 installed

1. Download repo

git clone --recurse-submodules https://github.com/Extended-Object-Detection-ROS/dummy_console_app

2. (Optional) install igraph library

If you want to use Complex Object Detection

mkdir tmp
cd tmp
curl -O https://igraph.org/nightly/get/c/igraph-0.7.1.tar.gz
tar -xzf igraph-0.7.1.tar.gz
rm igraph-0.7.1.tar.gz

sudo mv igraph-0.7.1 /usr/local/src/
cd /usr/local/src/igraph-0.7.1
./configure
make
make check
sudo make install

Then in file dummy_console_app/CMakeLists.txt change line 8 at

set(igraph ON)

3. Build application

cd dummy_console_app
mkdir build
cd build
cmake ..
make

Run

./dummy_console_app <path to object base XML file> <path to image to detect> [optional: names of objects to detect]

If no object names to detect are provided then all objects in the base will be detected.

Examples

You can take an object base with examples from https://github.com/Extended-Object-Detection-ROS/opencv_blog_olympics_examples
And perform biker detection (with igraph installed) with a command like:

./dummy_console_app <path opencv_blog_olympics_examples>/objectbase/ObjectBase.xml <path opencv_blog_olympics_examples>/images/judgment_day_alone_75.jpg Biker