nazt’s gists

nazt / gist:a82fad8f7a59dbbe4a6e3e56a54a92b8

Created October 22, 2019 04:26

configuration.yml

	homeassistant:
	# Name of the location where Home Assistant is running
	name: Home
	# Location required to calculate the time the sun rises and sets
	latitude: 0
	longitude: 0
	# Impacts weather/sunrise data (altitude above sea level in meters)
	elevation: 0
	# metric for Metric, imperial for Imperial
	unit_system: metric

nazt / single

Created October 19, 2019 03:52 — forked from tibaes/single

IPython display cv images

	# Using docker goldenheart:1.1.0
	# pip3 install matplotlib

	# Import the required modules
	%pylab inline
	import cv2
	from IPython.display import clear_output

	frame = cv2.imread("image.jpg")
	frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

nazt / Display OpenCV Image in Jupyter Notebook.py

Created October 19, 2019 02:31 — forked from mstfldmr/Display OpenCV Image in Jupyter Notebook.py

	from matplotlib import pyplot as plt
	import cv2

	img = cv2.imread('/Users/mustafa/test.jpg')
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

	plt.imshow(gray)
	plt.title('my picture')
	plt.show()

nazt / showarray.py

Created October 18, 2019 06:37 — forked from kylemcdonald/showarray.py

Minimal code for rendering a numpy array as an image in a Jupyter notebook in memory. Borrowed from the Deep Dream notebook.

	import PIL.Image
	from cStringIO import StringIO
	import IPython.display
	import numpy as np
	def showarray(a, fmt='png'):
	a = np.uint8(a)
	f = StringIO()
	PIL.Image.fromarray(a).save(f, fmt)
	IPython.display.display(IPython.display.Image(data=f.getvalue()))

nazt / keras-mac.py

Created October 11, 2019 13:03

keras-mac.py

	import time
	import numpy as np
	import cv2
	from PIL import Image
	import keras
	from keras import backend as K
	from keras.layers.core import Dense
	from keras.optimizers import Adam
	from keras.metrics import categorical_crossentropy
	from keras.preprocessing.image import ImageDataGenerator

nazt / template.sh

Created September 15, 2019 04:54

	#!/bin/bash
	SHELL=/bin/bash
	VERSION=0.0.1
	usage() {
	cat <<EOF
	$0 v$VERSION
	Usage: $0 [-v\|--help]
	EOF
	exit 1
	}

nazt / 1-standard.js

Created August 25, 2019 15:05 — forked from vladfr/1-standard.js

Use async/await and for..of in Cloud Firestore

	// In a Firestore standard example, we quickly create a 'xmas tree' of nested stuff
	// We use Promises directly: get().then(callback) and use snapshot.forEach() to iterate
	let campaignsRef = db.collection('campaigns');
	let activeCampaigns = campaignsRef.where('active', '==', true).select().get()
	.then(snapshot => {
	snapshot.forEach(campaign => {
	console.log(campaign.id);
	let allTasks = campaignsRef.doc(campaign.id).collection('tasks').get().then(
	snapshot => {
	snapshot.forEach(task => {

nazt / gist:f21cb1afce3b8af92f368e9e1cbc167f

Created July 31, 2019 12:28

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nazt / gist:2481c73bab467df5618d9cbc8b0daf67

Created July 12, 2019 08:01

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nazt / gist:7c476fa7160aea13d24ce61eeb5eb343

Last active June 17, 2019 17:17

	const path = require('path');
	module.exports = {
	rootDir: path.resolve(__dirname, '.'),
	moduleFileExtensions: [
	'js',
	'json',
	'vue',
	],
	moduleNameMapper: {
	'^@/(.*)$': '<rootDir>/src/$1',

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