Gauging the best way to combine Deep Learning and Coffee — Bean 2

In a previous post on combining coffee and AI, a combo which makes me think of the kind of marketing genius that was Dinosaur Train (Dinosaurs!: But with trains!::Artificial Intelligence!:But with coffee!), we explored the application of deep learning models to coffee extraction. The underlying question, can we easily and quickly train an deep learning model to read a analog gauge so we can digitize … Continue reading Gauging the best way to combine Deep Learning and Coffee — Bean 2

Gauging the best way to combine Deep Learning and Coffee

Bad puns are a currency in my household these days. Sorry/not sorry. Artificial Intelligence, whether machine learning or deep learning, have developed a lot of cachet of late. Some of it is deserved, some is overblown. We are somewhere interesting on the hype curve. As a remote sensing person from way back, I can’t ignore the work in this field, but I also need to … Continue reading Gauging the best way to combine Deep Learning and Coffee

Scanning the samples with OpenDroneMap — part II

In a previous post, we did a bit of a proof of concept in using OpenDroneMap for scanning a skull. It was the second skull I had scanned with OpenDroneMap. The first was a mountain gorilla skull from the Virungas from the 1920s that I then printed in 3D and brought home with me to Rwanda on a recent trip. These previous scans though were … Continue reading Scanning the samples with OpenDroneMap — part II

Beyond Data

I think of data from photogrammetry as a pipeline problem in which we have just begun to address the beginning of the pipeline. Historically, photogrammetry was the purview of a few (and depending on where you are in the world, laws may make it still so), dependent upon expensive software, even more expensive hardware (think: calibrated camera >$400k, cesna ~$130k, IMU ~$25k, plus fuel etc. … Continue reading Beyond Data

Scanning the samples with OpenDroneMap

In previous posts, we’ve scanned whole cities, cliff faces, down to small things like ukuleles and tiny pits to identify difficult to identify plants. This post goes in a slight different direction, doing a bit of a meta-scan of another kind of voucher: animal bones. I wanted to figure out what other interesting use cases there are for OpenDroneMap. For example, could we use it … Continue reading Scanning the samples with OpenDroneMap

Scanning the world with OpenDroneMap or Ne’er cast a cloot til Mey’s oot

In previous posts, we’ve scanned whole cities, cliff faces, down to small things like ukuleles. Such work is getting some to claim that the project needs renamed. Maybe… : Now, for a new problem space: plant identification. The background There are a few challenging plant groups to identify in the US. Among the ones I heard about in freshman biology: sedges (think: like grasses but … Continue reading Scanning the world with OpenDroneMap or Ne’er cast a cloot til Mey’s oot