| sudo pip install --upgrade google-cloud-pubsub | |
| gcloud pubsub topics create cp300 | |
| gcloud pubsub subscriptions create cpsubs --topic=cp300 | |
| python | |
| #that's it.. now just copy the contents of the python file |
| # With help from https://aws.amazon.com/blogs/ai/build-your-own-face-recognition-service-using-amazon-rekognition/ | |
| frame_skip = 100 # analyze every 100 frames to cut down on Rekognition API calls | |
| import boto3 | |
| import cv2 | |
| from PIL import Image | |
| import io | |
| rekog = boto3.client('rekognition') |
| /* | |
| * Licensed to the Apache Software Foundation (ASF) under one | |
| * or more contributor license agreements. See the NOTICE file | |
| * distributed with this work for additional information | |
| * regarding copyright ownership. The ASF licenses this file | |
| * to you under the Apache License, Version 2.0 (the | |
| * "License"); you may not use this file except in compliance | |
| * with the License. You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 |
Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma
You can get the list of supported formats with:
ffmpeg -formats
Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz:
| -- allSettings is a list of records containing {width:? height:? apps:{{name:? pos:? size:?},...} | |
| -- for each display setup store the apps and their associated position and size | |
| property allSettings : {} | |
| -- create a variable for the current settings | |
| set currentSettings to {} | |
| display dialog "Restore or save window settings?" buttons {"Restore", "Save"} default button "Restore" | |
| set dialogResult to result |
| CREATE TABLE sensors (ID LONG, make STRING, city STRING); | |
| INSERT INTO sensors | |
| SELECT | |
| x ID, --increasing integer | |
| rnd_str('Eberle', 'Honeywell', 'Omron', 'United Automation', 'RS Pro') make, | |
| rnd_str('New York', 'Miami', 'Boston', 'Chicago', 'San Francisco') city | |
| FROM long_sequence(10000) x | |
| ; |
| import requests | |
| import csv | |
| def download_query(query): | |
| with open("output.csv", "w") as outfile: | |
| writer = csv.writer(outfile) | |
| last_line = None | |
| page = 0 | |
| while last_line != 0: | |
| row_from = page * 1000000 |
| $milliseconds = bcmul(microtime(true), 1000000000) ; | |
| echo strval($milliseconds); |