In Part 1 of this series, I used Machine learning and AI to identify and crop images quickly. In Part 2, I build a specialized machine learning model that identified objects for my unique purpose. In this post, I'm going to use all of these tools to build an automatic image processing system that manipulates … Continue reading Image Processing Shortcuts using AI and ML Part 3: Putting it all Together
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In my previous post on image processing shortcuts, I showed how object detection libraries can be utilised to detect objects inside images. But how are these libraries trained to identify objects? In this post, I'll walk through the steps to train an image detection model for specific objects. Why do models need to be trained? … Continue reading Image Processing Shortcuts using AI and ML: Part 2
This week, there was a revelation that the Zoom teleconferencing software runs a localhost server on customer's machines - and this localhost serve can be used to maliciously add your machine to conference calls (with the video active) by malicious websites. About 2 years ago, I looked into how may websites make requests to localhost … Continue reading Using LocalHost in Production
When prepping images for publishing on the web, it is common to look for shortcuts that might speed things up. And since images generally make up 40-80% of the tonnage on a website, incorrectly prepping image can have a very heavy performance cost, A few months back, I blogged about using screen shots in production (a … Continue reading Image Processing Shortcuts using AI and ML: Part 1
Last week, there was a thread about how Chrome now has a default favicon (the little icons on each tab in the browser.) https://twitter.com/rem/status/1123210678679085058 I chimed in with some stats on how Favicons are used (from the HTTP Archive). There is enough information to make it a post, so here goes 🙂 Every page has … Continue reading Favicons: Perhaps the Least Understood Web Feature
