beosro

## patch-edid.rb
#!/usr/bin/ruby
# Create display override file to force Mac OS X to use RGB mode for Display
# see http://embdev.net/topic/284710

require 'base64'

data=`ioreg -l -d0 -w 0 -r -c AppleDisplay`

edids=data.scan(/IODisplayEDID.*?<([a-z0-9]+)>/i).flatten
vendorids=data.scan(/DisplayVendorID.*?([0-9]+)/i).flatten

## !Classifying objects in QuPath
Collection of scripts mostly from Pete, but also taken from the forums. Note you can always run a saved classifier using the
runClassifier() command, with the file path included as a string.

TOC

A simple cell classifier.groovy - One way to classify cells.

A simple classifier 2.groovy - Another way.

Annotation Classifications to Name field.groovy - Sets the Name of the annotation to its classification. Useful for applying a second

## PiCameraTelegramBot.py
import telepot
import picamera
import RPi.GPIO as GPIO

GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)

def handle(msg):
  global sendPhoto
  global chat_id

## ui-lovelace.yaml
title: Home
views:
  - title: View 1
    cards:
      - &card1
        type: entities
        title: Card 1
        show_header_toggle: false
        entities:
          - light.bedroom

## docker.sh
#!/usr/bin/env bash
set -e

apt-get update
apt-get install -y apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add -
apt-key fingerprint 0EBFCD88
add-apt-repository \
   "deb [arch=armhf] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \

## rpi3_iot_server.md

      
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                beosro
                / rpi3_iot_server.md
            
            
              Created
              April 26, 2019 15:27
                — forked from xoseperez/rpi3_iot_server.md
            
              
                Raspberry Pi 3 with Mosquitto, Node-RED, InfluxDB, Grafana and Nginx (as a reverse proxy)
              
          
    Raspberry Pi 3 IoT Home Server

Presentation

http://tinkerman.cat/rpi3_iot_server.pdf (Catalan)
Get the latest image and flash the SD card


download the latest image


## mjpeg2.py
#!/usr/bin/env python

# MIT License
# (c) 2017 Kevin J. Walchko

from __future__ import print_function
import cv2
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import time
import argparse

## camera-ssd-threaded.py
# --------------------------------------------------------
# Camera Single-Shot Multibox Detector (SSD) sample code
# for Tegra X2/X1
#
# This program captures and displays video from IP CAM,
# USB webcam, or the Tegra onboard camera, and do real-time
# object detection with Single-Shot Multibox Detector (SSD)
# in Caffe. Refer to the following blog post for how to set
# up and run the code:
#

## tegra-cam-caffe-threaded.py
# --------------------------------------------------------
# Camera Caffe sample code for Tegra X2/X1
#
# This program captures and displays video from IP CAM,
# USB webcam, or the Tegra onboard camera, and do real-time
# image classification (inference) with Caffe. Refer to the
# following blog post for how to set up and run the code:
#
#   https://jkjung-avt.github.io/camera-caffe-threaded/
#

## throttled.sh
#!/bin/bash

# https://retropie.org.uk/forum/topic/2295/runcommand-warning-if-voltage-temperature-throttling

#Flag Bits
UNDERVOLTED=0x1
CAPPED=0x2
THROTTLED=0x4
HAS_UNDERVOLTED=0x10000
HAS_CAPPED=0x20000
	#!/usr/bin/ruby
	# Create display override file to force Mac OS X to use RGB mode for Display
	# see http://embdev.net/topic/284710

	require 'base64'

	data=`ioreg -l -d0 -w 0 -r -c AppleDisplay`

	edids=data.scan(/IODisplayEDID.*?<([a-z0-9]+)>/i).flatten
	vendorids=data.scan(/DisplayVendorID.*?([0-9]+)/i).flatten
	Collection of scripts mostly from Pete, but also taken from the forums. Note you can always run a saved classifier using the
	runClassifier() command, with the file path included as a string.

	TOC

	A simple cell classifier.groovy - One way to classify cells.

	A simple classifier 2.groovy - Another way.

	Annotation Classifications to Name field.groovy - Sets the Name of the annotation to its classification. Useful for applying a second
	import telepot
	import picamera
	import RPi.GPIO as GPIO

	GPIO.setmode(GPIO.BCM)
	GPIO.setwarnings(False)

	def handle(msg):
	global sendPhoto
	global chat_id
	title: Home
	views:
	- title: View 1
	cards:
	- &card1
	type: entities
	title: Card 1
	show_header_toggle: false
	entities:
	- light.bedroom
	#!/usr/bin/env bash
	set -e

	apt-get update
	apt-get install -y apt-transport-https ca-certificates curl software-properties-common
	curl -fsSL https://download.docker.com/linux/ubuntu/gpg \| apt-key add -
	apt-key fingerprint 0EBFCD88
	add-apt-repository \
	"deb [arch=armhf] https://download.docker.com/linux/ubuntu \
	$(lsb_release -cs) \
	#!/usr/bin/env python

	# MIT License
	# (c) 2017 Kevin J. Walchko

	from __future__ import print_function
	import cv2
	from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
	import time
	import argparse
	# --------------------------------------------------------
	# Camera Single-Shot Multibox Detector (SSD) sample code
	# for Tegra X2/X1
	#
	# This program captures and displays video from IP CAM,
	# USB webcam, or the Tegra onboard camera, and do real-time
	# object detection with Single-Shot Multibox Detector (SSD)
	# in Caffe. Refer to the following blog post for how to set
	# up and run the code:
	#
	# --------------------------------------------------------
	# Camera Caffe sample code for Tegra X2/X1
	#
	# This program captures and displays video from IP CAM,
	# USB webcam, or the Tegra onboard camera, and do real-time
	# image classification (inference) with Caffe. Refer to the
	# following blog post for how to set up and run the code:
	#
	# https://jkjung-avt.github.io/camera-caffe-threaded/
	#
	#!/bin/bash

	# https://retropie.org.uk/forum/topic/2295/runcommand-warning-if-voltage-temperature-throttling

	#Flag Bits
	UNDERVOLTED=0x1
	CAPPED=0x2
	THROTTLED=0x4
	HAS_UNDERVOLTED=0x10000
	HAS_CAPPED=0x20000