This post is part of a series. If you want to work on creating your own Wildlife ID environment, start here! We started with provisioning an Azure storage environment that this uses to retrieve images. In this post we’ll provision the Azure Function, deploy the code via VS Code and configure an App Insights availability […]Read more "Create an Azure Function with Python to Retrieve GPS Coordinates from an Image EXIF in Azure Storage"
This post is part of a series. If you want to work on creating your own Wildlife ID environment, start here! In this segment we’re creating a Logic App that brings several other components together. The end goal is to examine a picture with EXIF data, identify a wildlife in the image, copy it to […]Read more "Creating a Logic App to Identify Wildlife with AI, Azure Functions, Cosmos DB, and Azure Storage"
This post is part of a series. If you want to work on creating your own Wildlife ID environment, start here! We will start by provisioning a Cosmos DB environment for our application. First, login to your Azure environment and navigate to Cosmos DB and create a new database. Then, progress in creating your Cosmos […]Read more "Creating a Cosmos DB for our Wildlife ID Project"
I was working on creating an Azure Function to download an image from Azure Blob Storage and return certain EXIF values. I had loaded some modules but for some reason they weren’t functioning properly in the Azure Function once deployed. I found out that I needed to update my requriements.txt file via pip (after much […]Read more "Azure Function python ModuleNotFoundError from Visual Studio Code"
I was working on an Azure Function for an open source wildlife IoT project and came across a lack of documentation in docs.microsoft.com. I had successfully returned HTTP content from my Azure function, but wasn’t sure how to get it to return JSON so I could interpret it elsewhere. In this case I’m storing latitute […]Read more "Return JSON from Azure Functions with Python"