KITTI Flask demo application

Screenshot

Requirements

• python (>=3.5)
• Flask
• Pandas
• PyTables

Project Structure

• kittiproject
  — dataset (KITTI dataset files)
  — flaskapp (Flask application)
  —- application (Core application and template files)
  —- data (KITTI data storage files)
  —- logs (Flask application log files)
  —- static (CSS and JavaScript files)
  —- config.py (Flask app configuration)
  —- main.py (Main entry point)
  —- run (Run app script)
  — migration (imports KITTI data to a H5 file)

Installation

Navigate to project directory.
Optionally install virtual environment with:

virtualenv env -p python3

Start virtual environment with:

. env/bin/activate

Install required Python libraries with:

pip install -r requirements.txt

Configuration

Make sure that appropriate port (default one is 4000) is free before running the application. You can change the port in PROJECT_DIR/config.py file by changing the PORT constant.
Set Flask secret key

export FLASKAPP_KEY=demo

Usage

From the project directory execute:

./run

or

python3 main.py

Open http://localhost:4000/ or http://127.0.0.1:4000/ in your web browser.

Credentials

username: demo
password: demo

API

API key: demo:ZGVtb3Rva2Vu

Endpoint: /api

curl --request GET \
  --url 'http://localhost:4000/api/'

Response:

{
  "message": string, 
  "status": bool, 
  "version": string
}

Endpoint (requires authentication): /api/oxts

curl --request GET \
  --url 'http://localhost:4000/api/oxts' \
  --header 'authorization: Bearer demo:ZGVtb3Rva2Vu'

Response:

{
  "data": {
    "oxts": list[dict], 
    "total_pages": int
  }, 
  "status": bool
}

Endpoint with filter (requires authentication): /api/oxts?timestamp=2011-10-03%2014%3A34%3A34.102597

curl --request GET \
  --url 'http://localhost:4000/api/oxts?timestamp=2011-10-03%2014%3A34%3A34.102597' \
  --header 'authorization: Bearer demo:ZGVtb3Rva2Vu'

Unit tests

From the flaskapp directory execute:

python -m unittest discover tests -v

or just

make test