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.
| """OpenCV contours to Shapely polygons converter | |
| This script allows the user to convert the contours hirarchy generated by cv2.find_contours() | |
| into a list of Shapely polygons. | |
| This script requires that `cv2` `numpy` and `shapely` be installed within the Python | |
| environment you are running this script in. | |
| This file can also be imported as a module and contains the following | |
| functions: |
| 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' |
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.
| // 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"); |
| #!/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 |