A proof of concept way to deploy a Django image to AWS Lambda — As of Dec 2020, AWS Lambda functions can be packaged and deployed as containers images. This new change has significant implications, it allows the developer to take advantage of the benefits provided by AWS lambda i.e. operational simplicity, automatic scaling, high availability etc, without some of the limitations associated i.e…

How to build custom dash components for python dash — In this blog, I will show you how to add your own custom dash react components. It builds on the official dash creating your own components tutorial. The motivation for writing this, is that I tried to follow the original guide and I found it somewhat confusing. I will look…

My learnings on asynchronously compressing and uploading videos in react native — One of the startups in my portfolio mbele.io utilizes video compression and upload quite extensively. However the process of building this into react native took some trial and error. This blog is meant to describe the process undertaken to implement this functionality and highlights the key ideas without too much…

Django, React, and Kubernetes in GKE — This article focuses on a strategy to deploy static assets, specifically assets generated with the create-react-app toolchain. The assets are served using Django deployed in a Kubernetes cluster on the Google cloud GKE platform. The technologies used include Django, React, Docker, gcloud and its related CLIs, e.g. gsutil. It explores…

Instagram Live vs YouTube Live vs Zoom — With the temporary closure of studios and fitness centres, many artists and instructors are starting to turn to the virtual space in order to connect more with their audience as well as generate income for their businesses. This blog provides a simple guide about going virtual and is written in…

Making it easier for humans to sift through the kinetics dataset — The Kinetics dataset explorer is a website containing the kinetics videos converted to GIF format. Making it easier for humans to sift through a large amount of temporal data quickly. The generated GIFs are from frames sampled at a lower frequency than the original video i.e. 4 fps vs 25…

Learnings, challenges and insights about the download procedure — If you are interested in performing deep learning for human activity or action recognition, you are bound to come across the Kinetics dataset released by deep mind. There are 3 main versions of the dataset; Kinetics 400, Kinetics 600 and the Kinetics 700 version. …

A guide into creating optical flow files which are to be used in video classification algorithms — This blog was originally published in blog.dancelogue.com. In a previous post, an introduction to optical flow was conducted, as well an overview of it’s architecture based on the FlowNet 2.o paper. This blog will focus in going deeper into optical flow, which will be done by generating optical flow files…

Dancelogue (https://dancelogue.com/) is an AI first company whose main objective is to understand and classify human movement in dance. To this end, being able to understand video structure is of vital importance. The main thing that separates videos from images is that videos have a temporal structure in addition to…