Lacmus Versions Save

Change log

• Add zoom feature
• Fix bugs
• Speedup image zooming

Ussage

Use dockerfile to launch it.

CPU support for Windows/Linux (recommend)/MacOS X GPU support ONLY for linux, only nvidia graphic support

1. Instalation

CPU

docker build -t rescuer_la .

GPU

docker build --file Dockerfile.gpu -t rescuer_la_gpu .

2. Ussage

In some distributive (e.g. Debian / Ubuntu) you should run this command before (see issue #8)

sudo xhost +

CPU

docker run --rm \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

GPU

docker run --rm \
--runtime=nvidia \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la_gpu

Change log

• Add save annotation function
• Add console applications to work with datasets
• Update LADD dataset
• Fix bugs

Liza Alert Drone Ddataset v2

You can download Liza Alert Drone Dataset

• LADDv1
• LADDv2

Ussage

Use dockerfile to launch it.

CPU support for Windows/Linux (recommend)/MacOS X GPU support ONLY for linux, only nvidia graphic support

1. Instalation

CPU

docker build -t rescuer_la .

GPU

docker build --file Dockerfile.gpu -t rescuer_la_gpu .

2. Ussage

In some distributive (e.g. Debian / Ubuntu) you should run this command before (see issue #8)

sudo xhost +

CPU

docker run --rm \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

GPU

docker run --rm \
--runtime=nvidia \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la_gpu

Change log

• Update model inference
• Fix bugs
• Speedup image loading
• Speedup image proсessing
• Go to the newest version avalonUI
• Reduce resource consumption
• Add automatic build (by @ortho)
• Code refactoring (by @worldbeater)

Ussage

Use dockerfile to launch it.

CPU support for Windows/Linux (recommend)/MacOS X GPU support ONLY for linux, only nvidia graphic support

1. Instalation

CPU

docker build -t rescuer_la .

GPU

docker build --file Dockerfile.gpu -t rescuer_la_gpu .

2. Ussage

In some distributive (e.g. Debian / Ubuntu) you should run this command before (see issue #8)

sudo xhost +

CPU

docker run --rm \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

GPU

docker run --rm \
--runtime=nvidia \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la_gpu

• Fix the Issue #7

Use dockerfile to launch it.

CPU support for Windows/Linux (recommend)/MacOS X GPU support ONLY for linux, only nvidia graphic support

Ussage

1. Instalation

CPU

docker build -t rescuer_la .

GPU

docker build --file Dockerfile.gpu -t rescuer_la .

2. Ussage

In some distributive (e.g. Debian / Ubuntu) you should run this command before (see issue #8)

sudo xhost +

CPU

docker run --rm \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

GPU

docker run --rm \
--runtime=nvidia
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

Create cross platform gui application

Use dockerfile to launch it.

CPU support for Windows/Linux (recommend)/MacOS X GPU support ONLY for linux, only nvidia graphic support

Ussage

1. Instalation

CPU

docker build -t rescuer_la .

GPU

docker build --file Dockerfile.gpu -t rescuer_la .

2. Ussage

CPU

docker run --rm \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

GPU

docker run --rm \
--runtime=nvidia
-v /tmp/.X11-unix:/tmp/.X11-unix \
-e DISPLAY=unix$DISPLAY \
--workdir=$(pwd) \
--volume="/home/$USER:/home/$USER" \
--volume="/etc/group:/etc/group:ro" \
--volume="/etc/passwd:/etc/passwd:ro" \
--volume="/etc/shadow:/etc/shadow:ro" \
--volume="/etc/sudoers.d:/etc/sudoers.d:ro" \
rescuer_la

mAP = 0.943

Video Demo

• resnet50_base_best trained on SDD (stenfort drone dataset).
• resnet50_liza_alert_v01 trained on LADD (Liza Alert Drone Dataset) v.0.1