H-IAAC/data_collection_server

Ferramenta de Visualização

• preprocessor: Web tool responsible for handle input data, and provide data visualization.
• postprocessor: Python tool responsible for prepare csv data for visualization, checking timelapse, sync with video, split into multiple files, cleanning unnecessary content, ...
• server.sh: Script to start/stop the solution.

Installation using docker images:

docker compose -f docker-compose_cuda.yml up or docker compose -f docker-compose_cpu.yml up

Installation without docker:

Pre processor:

1. Check system requirements:

• node v18.12.1
• npm 8.19.2

2. Go to preprocessor directory:

cd preprocessor/

3. Run npm command to install dependencies

npm install

4. Start execution

./run start

Post processor:

1. Check system requirements:

• Python 3.8.10
• pip 22.3.1

2. Go to postprocessor directory:

cd postprocessor/

3. Install dependencies

pip install watchdog argparse pandas numpy shutil ConfigParser

4. Start execution

./run start

  Development env:
  bash server.sh start pre port 3000
  bash server.sh start post

  Production env:
 start:
  bash server.sh start prod pre
  bash server.sh start prod post
 stop:
  bash server.sh stop

Overview:

Workflow: