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PP Finalproject - Group6 : Badminton Courtline Detection

This project is motified based on tennis-court-detection, so most of the content is named as "Tennis..." instead of "Badminton..."

Environment

Clone the repository

$ git clone https://github.com/maomao726/PP_Finalproject_Group6.git
$ cd {repo}/{version}

Install CMake

$ sudo apt install cmake

Library management packages

$ pip3 install conan

❗ conan doesn't support cmake generator since version 2.0, which is replaced by CMakeDeps + CMakeToolchain.

The previous version, 1.55.0, works for us:

$ pip3 install conan==1.55.0

Profile example

(Optional) Edit conanfile

    $ vim conanfile.txt
  • Change opencv version to newer one (original version, 3.4.3, is too old. ) and generators

❗ Not sure if this project is compatible with opencv4.

(Optional) Create conan profile

  • If you lost your conan profile, you can create a new one with this command:
$ conan profile new default --detect    // version 1.X
$ conan profile detect    // version 2.X
  • You can check your profile with this command: $ conan profile show {profileName}

(Optional) Edit package_manager

  • if you got an error like this while installing packages: Try edit your configurations in your profile, permit conan to update/install the dependencies:
$ vim {path to your conan profile}    // default : ~/.conan/profiles/default

add these lines in then save:
  [conf]
  tools.system.package_manager:mode = install
  tools.system.package_manager:sudo = True

Build

$ sh build.sh
or
$ mkdir build && cd build
$ conan install .. --build missing
$ cmake ..
$ cmake --build .

If you run these instructions successfully, there should be a executable file detect under the directory build/bin.

  • if you get an error like this: that's probably because your path isn't correct. Find where your conanbuildinfo.cmake and CMakeList.txt at, update the correct path in CMakeList.txt, and cmake again. If nothing else go wrong, this step should simultaneouly solve Unknown Cmake command "conan_basic_setup" error.

  • if you get an error like: image

    $ sudo apt install libcanberra-gtk-module libcanberra-gtk3-module could help

Usage

$ ./detect -i {image} -f -p {num_of_threads} white

Descriptions can be found while command is imcomplete

result

Detection result

image

Speedup result

image

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