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:ablobnervous:

天空вℓσи∂  
I switched to yolov8 L instead of X and I got 4.5 FPS instead of 3 FPS. My current algorithm is to move the clip to the boring folder if there is n...

I mean, the heavy lift is done by onnx and yolo, I just invoke them and copy files based on the result.

But still, it's exciting to see my code actually working. BTW I'm using kotlin/jvm. So no python nonsense.

YOLOv8 detect birds in video clips.

I think the main issue of this toot is I use the default 640x480 resolution, which makes the picture too small to distinguish the details. Running on 1080P natively does cost a lot of RAM and time, but it can tell it's a bird very quickly and confidently.

OMG it's working!!!

ONNX runtime for java with kotlin.
Using FFmpeg to read videos.

OpenCV can give boxes when using CPU, but somehow the boxes are all zero if running on CUDA.

The ORT is much better than OpenCV. I love onnx :)

Don't know why but yolov8 gives me 0 bounding box with opencv dnn.

Is this caused by solar activity? Or just my phone about to die?

I use my old phone as a monitoring camera to see if there are birds coming. It's outdoor from 9AM to 6PM, for the past 3 days.

did some biking. I think my body is gradually catching up. Today I didn't feel exhausted after finishing this ride. Cool.

Power is still not coming back, but I managed to borrow some electricity from my neighbor.

And they said they can't find an electrician to fix the problem. So I got my meter. Hope I won't kill myself

Based on wifi status, looks like this time is a regional issue, not only my house lost access to the power...

It's raining intensively, but the power is still on. Based on experience, I really don't trust the infrastructure, so I'll probably order a UPS? At least to allow me to shutdown everything safely.

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