benjaminabruzzo

version: "3"
services:

    # scheduler & monitoring service
    airflow-webserver:
        hostname: myairflow
        container_name: airflow_container
        image: 'puckel/docker-airflow:1.10.9'  # latest image as of 2021-11-08.
        ports:
            - '8085:8080'

benjaminabruzzo

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

benjaminabruzzo

// In the create driver class header file:
//change 
std::string dev;
//to 
std::string dev, odom_frame, base_frame;


// In the create_driver.cpp file
// add: 
  privNh.param<std::string>("odom_frame", odom_frame, "/odom");

benjaminabruzzo

#!/usr/bin/env python

# Import required Python code.
import cv2
import roslib
import rospy
import yaml
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import CameraInfo
from sensor_msgs.msg import Image