Author: smathermather

My primary interest is in understanding ecological processes in a synoptic fashion. This has led me down a long study with Geographic Information Systems and Remote Sensing as they relate to ecology and biological processes.
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A new era of open source funding? How we raised $5,099 for core work. — OpenDroneMap

As part of our mission to bring awesome drone software, we focus intensively on sustainability (a.k.a. how to pay for development, bug fixes, new features, hosting, etc. for the benefit of all). Open-source is a tricky type of software to fund. I will not cover the details, as other people have already done a great… A new era of open source funding? How we raised $5,099 … Continue reading A new era of open source funding? How we raised $5,099 for core work. — OpenDroneMap

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Coffee, espresso

🛠➕💘➕🤼🌐=😲☕

Yochai Benkler’s conceptualization of commons-based peer production informs us that affordable tools + love of a topic + people connected across the world creates unusual and interesting innovations. Affordable espresso solutions + the internet (and love of espresso) means that we can expect to see some wonderful innovations in the espresso world, not just in our wonderful cafes, but also in our homes. A cottage … Continue reading 🛠➕💘➕🤼🌐=😲☕

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Screen shot of gauge from multiple perspectives and multiple lighting conditions
3D, AI, blender, Machine Learning

Bean 3 — Gauging the best way to combine Deep Learning and Coffee

In have two previous posts, I sought to combine coffee and deep learning: this one and the latest. Anyone who has been following my blog for a while knows I start with a beginners mind. Lol. In other words, I get almost everything wrong for a while until I sort it out. I appreciate that folx are willing to read along and humor me. My … Continue reading Bean 3 — Gauging the best way to combine Deep Learning and Coffee

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AI, Coffee, Deep Learning

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

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AI, Coffee, Deep Learning, Machine Learning

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

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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

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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

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