This focuses on generating the certificates for loading local virtual hosts hosted on your computer, for development only.
Do not use self-signed certificates in production ! For online certificates, use Let's Encrypt instead (tutorial).
This focuses on generating the certificates for loading local virtual hosts hosted on your computer, for development only.
Do not use self-signed certificates in production ! For online certificates, use Let's Encrypt instead (tutorial).
Only do this if you understand the consequences: all node programs will be able to bind on ports < 1024
sudo setcap 'cap_net_bind_service=+ep' /usr/local/bin/node
Important: your node location may vary. Use which node
to find it, or use it directly in the command:
# Stream Video with OpenCV from an Android running IP Webcam (https://play.google.com/store/apps/details?id=com.pas.webcam) | |
# Code Adopted from http://stackoverflow.com/questions/21702477/how-to-parse-mjpeg-http-stream-from-ip-camera | |
import cv2 | |
import urllib2 | |
import numpy as np | |
import sys | |
host = "192.168.0.220:8080" | |
if len(sys.argv)>1: |
#!/bin/bash | |
# install CUDA Toolkit v8.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda |
function map() { | |
emit(1, { | |
sum: this.value, // the field you want stats for | |
min: this.value, | |
max: this.value, | |
count: 1, | |
diff: 0 | |
}); | |
} |