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Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

Dockerfile 0.48% Shell 1.12% Makefile 0.16% JavaScript 59.87% CSS 1.58% HTML 6.21% Perl 0.03% Python 21.04% C# 0.26% Roff 0.41% Clojure 0.66% C 2.98% Ruby 1.19% C++ 2.64% Cuda 0.88% Gnuplot 0.48%

3d-point-cloud-analytics's Introduction

Docker for 3D Point Cloud Analysis

This is the Docker image for open courseware 3D Point Cloud Analysis from www.shenlanxueyuan.com, China.

All source code are based upon public available resources and starter-code from www.shenlanxueyuan.com.

Please check them before disturbing me with your own stupid claims.


Build Images

The environment can be built with docker-compose as follows:

docker-compose build

Configuration

Volume Mounting

Local directories for source code and data are configured in docker-compose.yml

    volumes:
      # assignments:
      - ${PWD}/workspace/assignments:/workspace/assignments  
      # data volume:
      - ${PWD}/workspace/data:/workspace/data

Network Port Mapping

Config port mappings for supervisord monitor and VNC client access in docker-compose.yml

    ports:
      # standard vnc client:
      - 45901:5900
      # supervisord admin:
      - 49001:9001

Up and Running

Launch VNC Instance

docker-compose up workspace-vnc

Health Check

Access supervisord monitor to make sure all processes have been started: http://[HOST_IP]:49001

Supervisord Health Check

VNC Access:

You can access the desktop with standard VNC client

VNC Client

On the system you can use

  • Remmina on Ubuntu
  • TightVNC Viewer on Windows

to create a VNC session to connect to: http://[HOST_IP]:45901

VNC through VNC Client


3d-point-cloud-analytics's People

Contributors

alexgecontrol avatar

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