This repository contains the support of a talk about ML in production (knative, ONNX, and Go)
This repository contains the support of a talk about ML in production (knative, ONNX, and Go)
This repository contains all the code to:
The goal of the application is to create a database of sentiments of people from a picture. The application is composed of several services:
The face detection and sentiment analysis are deep neural networks pre-encoded with ONNX.
Note: the code is not fully tested, and probably only works in my environment.
The goal of this presentation are multiple:
But most of all:
This is a simple (and outdated) workflow, describing the basic principle:
TODO
The deep learning models are encoded in ONNX and stored using git-lfs. see the gofaces repo for more info.
Two pre-trained models are used:
This POC also uses pigo as an improvement to the face detection service. The cascade file is also included in this repo.
The slides are in progress.
They are in the present format an best viewed with github.com/owulveryck/present