$ git clone https://github.com/hafidh561/Forest-Fire-Segmentation.git

# Python version 3.8 or more
$ pip install -r requirements.txt

# Newest docker version
# Make sure put your test videos in directory ./test_videos/
$ docker build -t hafidh561/forest-fire-segmentation:1.0 .

$ python app.py -h
usage: app.py [-h] [-l LOWER [LOWER ...]] [-u UPPER [UPPER ...]] [-m METHOD] [-haf HIGH_AREA_FIRE] [-maf MEDIUM_AREA_FIRE] [-laf LOW_AREA_FIRE]
              [-v VIDEO] [-ffv FOREST_FIRE_VIDEO]

optional arguments:
  -h, --help            show this help message and exit
  -l LOWER [LOWER ...], --lower LOWER [LOWER ...]
                        Input your lower bound value
  -u UPPER [UPPER ...], --upper UPPER [UPPER ...]
                        Input your upper bound value
  -m METHOD, --method METHOD
                        Input your color space method
  -haf HIGH_AREA_FIRE, --high-area-fire HIGH_AREA_FIRE
                        Input your minimal value to detect high area fire
  -maf MEDIUM_AREA_FIRE, --medium-area-fire MEDIUM_AREA_FIRE
                        Input your minimal value to detect medium area fire
  -laf LOW_AREA_FIRE, --low-area-fire LOW_AREA_FIRE
                        Input your minimal value to detect low area fire
  -v VIDEO, --video VIDEO
                        Input your video source
  -ffv FOREST_FIRE_VIDEO, --forest-fire-video FOREST_FIRE_VIDEO
                        Forest fire video True or False

# Example arguments input
$ python app.py -l 121 21 14 -u 255 255 193 -m ycrcb -haf 7000 -maf 3500 -laf 100 -v ./src/video2.mp4 -ffv true

# Expose your xhost
$ xhost +local:docker

# When you finish, you can return the access control by using the following
$ xhost -local:docker

# Add environment variables
$ XSOCK=/tmp/.X11-unix
$ XAUTH=/tmp/.docker.xauth

# Create the authentication files
$ touch /tmp/.docker.xauth

# Create permission
$ xauth nlist $DISPLAY | sed -e 's/^..../ffff/' | xauth -f $XAUTH nmerge -

$ docker run --rm -e DISPLAY=<YOUR LOCAL IP ADDRESS>:0 hafidh561/forest-fire-segmentation:1.0 -h
usage: app.py [-h] [-l LOWER [LOWER ...]] [-u UPPER [UPPER ...]] [-m METHOD]
              [-haf HIGH_AREA_FIRE] [-maf MEDIUM_AREA_FIRE]
              [-laf LOW_AREA_FIRE] [-v VIDEO] [-ffv FOREST_FIRE_VIDEO]

optional arguments:
  -h, --help            show this help message and exit
  -l LOWER [LOWER ...], --lower LOWER [LOWER ...]
                        Input your lower bound value
  -u UPPER [UPPER ...], --upper UPPER [UPPER ...]
                        Input your upper bound value
  -m METHOD, --method METHOD
                        Input your color space method
  -haf HIGH_AREA_FIRE, --high-area-fire HIGH_AREA_FIRE
                        Input your minimal value to detect high area fire
  -maf MEDIUM_AREA_FIRE, --medium-area-fire MEDIUM_AREA_FIRE
                        Input your minimal value to detect medium area fire
  -laf LOW_AREA_FIRE, --low-area-fire LOW_AREA_FIRE
                        Input your minimal value to detect low area fire
  -v VIDEO, --video VIDEO
                        Input your video source
  -ffv FOREST_FIRE_VIDEO, --forest-fire-video FOREST_FIRE_VIDEO
                        Forest fire video True or False

# Example arguments input
$ docker run --rm -e DISPLAY=192.168.0.2:0 hafidh561/forest-fire-segmentation:1.0 -l 121 21 14 -u 255 255 193 -m hsv -haf 7000 -maf 3500 -laf 100 -v ./src/video2.mp4 -ffv true

# For Operating System Windows
$ docker run --rm -e DISPLAY=<YOUR LOCAL IP ADDRESS>:0 hafidh561/forest-fire-segmentation:1.0

# For Operating System Linux
$ docker run --rm -e DISPLAY=$DISPLAY hafidh561/forest-fire-segmentation:1.0