Coding Rule see Google C++ Style Guide
libwebstreamer coulld be built in either docker or your host. The release versions are all built in docker lasote/conangcc49
by travis.
- Update source
$ sudo apt-get -y update
$ sudo apt-get -y upgrade
- Config git
$ git config --global user.name "xxx"
$ git config --global user.email "xxxx"
- Install required softwares. If you have installed, ignore it.
## conan module
$ sudo pip install conan --upgrade
$ sudo pip install conan_package_tools bincrafters_package_tools
$ sudo pip install shell
$ sudo conan user
## pkg-config 0.29.1
$ wget https://pkg-config.freedesktop.org/releases/pkg-config-0.29.1.tar.gz
$ tar -zxf pkg-config-0.29.1.tar.gz
$ cd pkg-config-0.29.1
$ ./configure --prefix=/usr \
--with-internal-glib \
--disable-host-tool \
--docdir=/usr/share/doc/pkg-config-0.29.1
$ make
$ sudo make install
$ cd -
## node (at least 10.4.0)
$ wget https://nodejs.org/dist/v10.4.0/node-v10.4.0-linux-x64.tar.xz
$ tar -xf node-v10.4.0-linux-x64.tar.xz
$ sudo cp -rf node-v10.4.0-linux-x64/* /usr/local
## python3.5 (for test)
$ sudo apt-get install -y python3.5 python3.5-dev python3-pip
$ sudo rm -f /usr/bin/python3
$ sudo ln -s /usr/bin/python3.5 /usr/bin/python3
$ sudo pip3 install websockets
- Dependencies
-
gstreamer>=1.14.0
You can build gstreamer yourself using the repo and upload the built packages to bintray for the next use.
Or you can just install the pre-built packages from other bintray repo, hence,
DEPENDENT_BINTRAY_REPO
should be set in this method, it's the username of the bintray repo you'll use. Moreover, some extra packages installed in the bootstrap step in building gstreamer will be used in the test, and they're not included in the pre-built packages, so you should install them individually.The gstreamer libs will be installed in the dir
~/gstreamer/linux_x86_64
. -
tesseract you can still use the repos tesseract.conan and tesseract.plugin to build your own packages or use the pre-built packages. Methods are the same as gstreamer.
- Start build
$ sudo python build.py
If you want to use coverity to analyze your code, create a brach coverity_scan
and set the environment vars in your travis's settings.
-
COVERITY_SCAN_TOKEN
project token in theProject Settings
page of your project in coverity -
COVERITY_SCAN_PROJECT_NAME
Project Name in theProject Settings
page of your project in coverity -
TRAVIS_COVERITY_SCAN_NOTIFICATION_EMAIL
your notification email -
DEPENDENT_BINTRAY_REPO