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self.__precacheManifest = [].concat(self.__precacheManifest || []); | |
workbox.setConfig({ debug: true }); // show debugging even during development | |
workbox.precaching.suppressWarnings(); | |
workbox.precaching.precacheAndRoute(self.__precacheManifest, {}); | |
console.log("%c Workbox is activated", "font-size: 30px; color: blue"); | |
// Enable offline analytics | |
workbox.googleAnalytics.initialize(); |
How to train your own object detection models using the TensorFlow Object Detection API (2020 Update)
This started as a summary of this nice tutorial, but has since then become its own thing.
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# This file has been auto-generated by i3-config-wizard(1). | |
# It will not be overwritten, so edit it as you like. | |
# | |
# Should you change your keyboard layout some time, delete | |
# this file and re-run i3-config-wizard(1). | |
# | |
# i3 config file (v4) | |
# | |
# Please see http://i3wm.org/docs/userguide.html for a complete reference! |
Picking the right architecture = Picking the right battles + Managing trade-offs
- Clarify and agree on the scope of the system
- User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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<!doctype html> | |
<!-- http://taylor.fausak.me/2015/01/27/ios-8-web-apps/ --> | |
<html> | |
<head> | |
<title>iOS 8 web app</title> | |
<!-- CONFIGURATION --> |