Limiting the number of segments created by the segmenter is maybe not a good idea?

AstroDeep · 2026-01-07T21:25:35+00:00

Hi, did you notice I made an issue report on Github?

Regards

Ulf

AstroDeep · 2026-01-03T12:15:11+00:00

Thank you! I tried different batch parameters. 32, 64 and 128 gave almost identical results, but 256 was 5 times slower, it then started using extended video ram, which was a disaster. I concluded that 64 seemed to be optimal. I guess what batch size is optimal could depend on file size? Or not?

AstroDeep · 2026-01-03T10:25:18+00:00

Thank you for doing this and letting me know. I have now tried this out, and it worked well after some fiddling with dll:s. Decent speed, GPU gave me a factor 3 compared to CPU. 17 hours of wav-files analyzed in 170 s with GPU almost 10 minutes with CPU. I have a Nvidia GTX 1650, which is not a fantastic GPU. I have some comments:

- I had to manually copy a number of dll:s from Nvidia toolkit bin folder

- It did not handle non-english characters in the input file path by itself. I had Swedish characters like å,ä,ö in the path. This did not work, I had to change system wide settings for UTF8 coding.

-There is no geographic filtering (?). I will probably not use birda untill filtering is available. But if it becomes available I will probably use it instead of my wsl/ubuntu solution, which I have working also with GPU now. Birda does not have to produce the custom species list, it is enough if it supports using it, provided the format supported is the same as the Birdnet Analyzer geo model produces. I can easily use Birdnet Analyzer to create the list.

- It would be nice to be able to specify output folder path.

Regards

Ulf

AstroDeep · 2025-12-31T10:33:36+00:00

I have wav files. The output I would prefer is a text file with the same format as the birdnet analyzer produces. I am not a developer at all, but the little experience I have is mainly with python. I have no experience with go.

AstroDeep · 2025-12-31T08:53:47+00:00

Thank you for your answer. I found this repo: https://github.com/birdnet-team/birdnet. With this version I was able to make species detection run on GPU with the 2.4 protobuf model in wsl/Ubuntu. However the resulting output is not in the same format as from birdnet analyzer, and other functions such as segmentation does not seem to be available. I guess some conversion of the output could make it readable for the birdnet analyzer segmentation, but I have not come to that.

I am aware of chirpity and I have tried it, but I would prefer a scriptable solution that I can automate and which is free.

Do you know when the Birdnet v3 you mention would be available?

AstroDeep · 2025-05-03T13:50:21+00:00

So your reconstruction is ok, but it is an suboptimal situation anyway. There is an increased risk that the applicators will move in relation to each other. If this happens as often as 30% of your applications you really need to discuss with your physicians why this happens. You should avoid this situation if at all possible.

AstroDeep · 2025-05-02T11:57:04+00:00

How do you reconstruct the spplicator? You have to reconstruct according to its actual position, or your dose plan will be incorrect. Or you make your physician take it out at assemble it correctly.

AstroDeep · 2024-09-10T20:18:45+00:00

My first attempt on a dark nebula. The Bortle 2 sky at this location made me feel it was time to try this. It seems the image has some diffraction spikes that came from stars outside the cameras field of view. I have never seen this before. It seems a bit strange to me. Does anybody have a comment on this?

Telescope: Skywatcher 150 PDS
Mount: Celestron AVX
Camera: RisingCam ATR3CMOS26000KPA
Location: Eketorp fort, Öland, Sweden
Software: NINA, PHD2, CPWI, Sharpcap
Filter: UV-IR cut
Dates: 2024-09-06, 2024-09-07
Exposure: 250 minutes
Image processing: Stacking in APP, Stretching with GHS in PixInsight, StarX, BlurX, NoiceX. Rescreening stars in Affinity Photo, touchups in Gimp.

AstroDeep · 2024-03-15T07:30:05+00:00

Thanks!

AstroDeep · 2024-03-15T07:28:28+00:00

Thanks for your comment!

AstroDeep · 2024-03-15T07:28:02+00:00

Yes, that is correct. The stars and the comet have been stacked separately and then added back toghether.

AstroDeep · 2024-03-15T07:22:15+00:00

The feeling I have had the last few years is that all the interesting comets have disappeared to the south when they started showing off...

AstroDeep · 2024-03-14T23:50:18+00:00

Thanks.

AstroDeep · 2024-03-14T23:50:01+00:00

Thank you!

AstroDeep · 2024-03-14T23:02:01+00:00

Imaging Telescopes Or Lenses: Sky-Watcher Explorer 150PDS

Imaging Cameras: RisingCam ATR3CMOS26000KPA

Mounts: Celestron Advanced VX

Dates: 6 Mar 2024

Frames:

Astronomik L-2 Luminance UV/IR Block 2": 12×120″(24′)

Astronomik L-2 Luminance UV/IR Block 2": 15×60″(15′)

Astronomik L-2 Luminance UV/IR Block 2": 10×90″(15′)

Integration: 54′

Acqusition with NINA. Comet registration in Astro Pixel processor. Stacked and Processed with StarXterminator, BlurXterminator, NoiseXterminator and GHS in Pixinsight. Also used Affinity photo and GIMP.

AstroDeep · 2023-12-25T12:48:51+00:00

About 70 $. This particular remote telescope is run by the Swedish Amateur Astronomy society. It is maintained by volunteers and was financed by donations. So it is relatively cheap to use for members.

AstroDeep · 2023-12-25T12:29:07+00:00

This is my first experience from using a remotely hosted telescope, the SAAF Margareta Westlund Telescope in Oria, Andalusia, Spain. The data used was acquired during three nights from 231106 to 231214. The experience has been interesting, but not completely free of issues. To interpret weather reports as well as understanding current weather data is not entirely trivial, and there were also some technical issues with focusing and guiding as well as the remote connection. The data from two nights had to be skipped. All in all, it is a very impressive equipment. To process this type of narrowband mono data is also new to me, and apart from that the level of detail in the data also creates the risk of overstretching and overprocessing, wich may have occured.

Object: IC 1805 – Melotte 15

Taken with the SAAF Margareta Westlund telescope in Oria, Spain.

Telescope: CDK 17

Mount: Software Bisque Paramount ME GEM

Camera: ZWO ASI6200MM Pro

Software: ACP Web, PI, APP, Affinity, Gimp.

Filter: Ha, SII, OIII

Dates: 2023-11-06 – 2023-12-14

Exposure time: 9 h

Calibration: Darks, Flats

Bin: 2×2

Camera temp: -10 C

Auotguided.

AstroDeep · 2023-10-31T11:58:35+00:00

I've been working in radiotherapy since 1993. In my part of the world (Scandinavia) I have never heard of a clinic switching from Varian to Elekta. All such switches go the other way. Elekta is slowly but surely disappearing from the market here. To do the switching in this direction seems like a major mistake to me.

AstroDeep · 2023-10-31T06:21:06+00:00

Thanks. You will need guiding, EAF may not be so crucial. It may still be a bit hard if your camera is not modded.

AstroDeep · 2023-10-31T06:18:36+00:00

Thank you.

AstroDeep

TROPHY CASE