megadetector-gui
readable-thrift
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| megadetector-gui | readable-thrift | |
|---|---|---|
| 3 | 1 | |
| 41 | 18 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 2 years ago | |
| JavaScript | Java | |
| - | Apache License 2.0 |
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megadetector-gui
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Ask HN: What not-profit-seeking project are you tinkering with this week?
On (some) weekends I work on Megadetector GUI [0]. Megadetector [1] is an object detection model trained on millions of camera trap images and is widely used by conservationists. The issue is that it's rather technical to set up, so I made a GUI for it.
Currently working on a brand new version (not public just yet) that will use the latest MD version (v5 is way faster), better UI and most importantly GPU support out of the box.
[0] https://github.com/petargyurov/megadetector-gui
[1] https://github.com/microsoft/CameraTraps/blob/main/megadetec...
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Ask HN: Who Wants to Collaborate?
> ML to identify gorillas by their unique nose prints
Really cool stuff. I wonder if face detection is sufficient too? It has been proven to work for brown bears [0].
I have also been doing some open source work [1] to democratise object detection in this space but I haven't had the time to make improvements to the project in a while.
* [0] http://bearresearch.org/
* [1] https://github.com/petargyurov/megadetector-gui
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Kea parrots perform domain-general statistical inference
In case any camera trap folk are here, I'm currently volunteering with the NZ Department of Conservation to build an AI-assisted image sorting tool that speeds up the weeding out of empty images.
https://github.com/petargyurov/megadetector-gui
This currently used to assist the conservation efforts of various endemic species such as the kakapo, kea and takahe. (The ML model used is not limited to just these species!)
readable-thrift
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Ask HN: Who Wants to Collaborate?
https://github.com/nccgroup/readable-thrift
Cap'N'Proto seems to have a `capnp` tool for encoding/decoding text representations to binary which seems to be officially supported and documented!
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