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see here: #506 |
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If someone stumbling over this PR, has a RPi5 with 4G (or 8) of RAM, I'd be interested how close that hardware comes to real-time processing with the Perch 2.0 model. |
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I have a RPi5 4GB running Trixie and am able to test for a couple of days. |
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@Svardsten53 Cool, it doesn't have to be days, just enough to let any thermal throttling kick in, 1/2h or so. |
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How should I proceed? |
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to switch to this branch: Then in the ui:
Then, on the View Log page, you should see it start the download & install of Perch, and start analyzing again. To revert after the test:
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I have made the modification and it went well. It is winter and dark here and no birds are awake now, will come back tomorrow when I have real hits. The log looks like this right now: 17:47:25---[utils.analysis][INFO] READING DONE! READ 3 CHUNKS. |
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@Svardsten53 Thanks! So it looks like a RPi5 can comfortably run Perch. |
…ings get processed even though they have "the wrong" samplerate
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I am testing out the Perch_v2 model, and I notice that for my system the model returns lower confidence levels to identify the same types of birds. For instance, I had my confidence set to 0.8 originally and now I have it set to 0.3 My recordings have a background hum from an A/C unit that I cannot avoid and I suspect that is affecting the confidence. That difference aside I am running the model and appear to be getting good results. This is my Perch 2.0 site on BirdWeather https://app.birdweather.com/stations/5355 |
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I have been modifying the settings and what I settled on so far is as follows:
This results in the model having a better chance of having a window of 5 seconds that identifies well. The RPi5 4GB with M.2 NVME has no problem keeping up. |
With the upcoming BirdNET v3, that would probably be a good feature to have. Thanks for the screenshot - So just over 2G in use, Maybe the recommendation should read 2G free RAM. |
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By eBird filtering I mean the function we can currently check for the regular model at the top of the first page for settings: Species range model V2.4 - V2 |
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Are there additional changes needed to this PR or will it be rolled into the main branch soon? |
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@Nachtzuster Check out #560 for the translations |
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@Nachtzuster - Hello! Is there anything we can do to help this land? |
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This branch works very well, and I have been running this since it was first proposed without issue. I agree that possibly the translation might be able to be separated. BTW The frogs and squirrels it identifies in addition to birds is fun! |
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Any updates on this PR? |
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I also have an RPi5 with 4 GB RAM. I just added the new models per these instructions. Perch_v2 is running without issues or any config beyond selecting the model after setting up the install. Detection confidence looks similar to me out of the gates so I'll just leave my settings alone for comparison sake. I am collecting audio with a RODE NTG-4 into a Focusrite-Novation Scarlett Solo (3rd Gen.). Processing time for 15 seconds of audio went from approx 0.4 seconds to 6.5 seconds with just the micro SD card. The Pi CPU will still idle at the same temp. |

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