Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/pinto0309/realsense-cuda-opengl-docker
RealSense execution environment built on a Docker container on Ubuntu 20.04. NIVIDA GPU and OpenGL capable. CUADA 11.4.
https://github.com/pinto0309/realsense-cuda-opengl-docker
cuda docker opengl realsense realsense2 ubuntu wsl2
Last synced: 3 months ago
JSON representation
RealSense execution environment built on a Docker container on Ubuntu 20.04. NIVIDA GPU and OpenGL capable. CUADA 11.4.
- Host: GitHub
- URL: https://github.com/pinto0309/realsense-cuda-opengl-docker
- Owner: PINTO0309
- License: mit
- Created: 2022-02-05T07:31:27.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-05T14:44:38.000Z (about 3 years ago)
- Last Synced: 2024-10-14T03:49:51.231Z (4 months ago)
- Topics: cuda, docker, opengl, realsense, realsense2, ubuntu, wsl2
- Language: Dockerfile
- Homepage:
- Size: 38.1 KB
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# realsense-cuda-opengl-docker
RealSense execution environment built on a Docker container on Ubuntu 20.04. NIVIDA GPU and OpenGL capable. CUADA 11.4.
## 1. docker build
```bash
$ git clone https://github.com/PINTO0309/realsense-cuda-opengl-docker.git \
&& cd realsense-cuda-opengl-docker \
&& docker build -t pinto0309/realsense-cuda-opengl-docker:latest .
```
## 2. docker pull
```bash
$ docker pull pinto0309/realsense-cuda-opengl-docker:latest
```
## 3. docker run
```bash
$ xhost +local: && \
docker run --gpus all -it --rm \
-v `pwd`:/home/user/workdir \
-v /tmp/.X11-unix/:/tmp/.X11-unix:rw \
--device /dev/video0:/dev/video0:mwr \
--device /dev/video1:/dev/video1:mwr \
--device /dev/video2:/dev/video2:mwr \
--device /dev/video3:/dev/video3:mwr \
--device /dev/video4:/dev/video4:mwr \
--device /dev/video5:/dev/video5:mwr \
--net=host \
-e XDG_RUNTIME_DIR=$XDG_RUNTIME_DIR \
-e DISPLAY=$DISPLAY \
--privileged \
pinto0309/realsense-cuda-opengl-docker:latest
```
## 4. Run **`realsense-viewer`**
```bash
$ realsense-viewer
```
## 5. Run **`nvidia-smi`**
```
$ nvidia-smi
Sat Feb 5 07:49:13 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 On | N/A |
| 0% 44C P8 15W / 220W | 310MiB / 7959MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
```
## 6. Run **`glxgears`**
```bash
$ glxgears
```
## 7. Running from within WSL2
[Note] OpenGL will not work properly.
1. Perform the following initial settings.
[WSL2 USB Camera Jan 17, 2022 Edition](https://zenn.dev/pinto0309/articles/7c7ce81bea8b6c)
2. Start WSL2 (Windows Terminal).
```powershell
> wsl --list
Ubuntu-20.04 (default)
> wsl -d Ubuntu-20.04
```
3. USB attach. (Windows Terminal)
```powershell
> usbipd wsl list
BUSID DEVICE STATTE
1-1 Intel(R) RealSense(TM) Depth Camera 435 with RGB Module D... Not attached
> usbipd wsl attach --busid 1-1
```
4. docker run. (WSL2 Terminal)
```bash
$ docker pull pinto0309/realsense-cuda-opengl-docker:latest
$ xhost +local: && \
docker run --gpus all -it --rm \
-v `pwd`:/home/user/workdir \
-v /tmp/.X11-unix/:/tmp/.X11-unix:rw \
--device /dev/video0:/dev/video0:mwr \
--device /dev/video1:/dev/video1:mwr \
--device /dev/video2:/dev/video2:mwr \
--device /dev/video3:/dev/video3:mwr \
--device /dev/video4:/dev/video4:mwr \
--device /dev/video5:/dev/video5:mwr \
--net=host \
-e XDG_RUNTIME_DIR=$XDG_RUNTIME_DIR \
-e DISPLAY=$DISPLAY \
--privileged \
pinto0309/realsense-cuda-opengl-docker:latest
$ ls -l /dev/video*
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video0
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video1
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video2
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video3
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video4
xxxxxx 1 xxxx xxxx xx,xx,xx xx:xx /dev/video5
$ sudo chmod 777 /dev/video*
$ nvidia-smi
Sat Feb 5 07:49:13 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 On | N/A |
| 0% 44C P8 15W / 220W | 310MiB / 7959MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
```
## 8. CUDA assisted librealsense container
```bash
$ docker pull pinto0309/realsense-cuda-opengl-docker:latest.cuda
```
or
```bash
$ git clone https://github.com/PINTO0309/realsense-cuda-opengl-docker.git \
&& cd realsense-cuda-opengl-docker \
&& docker build \
-t pinto0309/realsense-cuda-opengl-docker:latest.cuda \
-f Dockerfile.cudarealsense .
```
```bash
$ xhost +local: && \
docker run --gpus all -it --rm \
-v `pwd`:/home/user/workdir \
-v /tmp/.X11-unix/:/tmp/.X11-unix:rw \
--device /dev/video0:/dev/video0:mwr \
--device /dev/video1:/dev/video1:mwr \
--device /dev/video2:/dev/video2:mwr \
--device /dev/video3:/dev/video3:mwr \
--device /dev/video4:/dev/video4:mwr \
--device /dev/video5:/dev/video5:mwr \
--net=host \
-e XDG_RUNTIME_DIR=$XDG_RUNTIME_DIR \
-e DISPLAY=$DISPLAY \
--privileged \
pinto0309/realsense-cuda-opengl-docker:latest.cuda
```