Artem-N
Artem-N
> Can I transplant it on the RK3588 board? yes, first you need to export your model to the onnx format ( in this repo script export.py ), then you...
> what did you do? Did you have a solution for this? unfortunately not, I supplemented the classes with images and hope that Yolo7 is smart and will be able...
Hi guys, I tried updating, and after training a custom network once again (which I’ve done multiple times before), I attempted to convert the model to ONNX — and got...
> So when you use the predict method of a different model in this exact code, you don't see high CPU use? How's GPU utilization? Hi, I have a similar...
> The difference lies in the preprocessing approach. YOLO (ultralytics) resizes frames on CPU before transferring to GPU, while RF-DETR transfers to GPU first, then resizes. This means RF-DETR transfers...
> The difference lies in the preprocessing approach. YOLO (ultralytics) resizes frames on CPU before transferring to GPU, while RF-DETR transfers to GPU first, then resizes. This means RF-DETR transfers...
> another possible scenario that causes high cpu usage is if you transfer the image to gpu in float32 instead of uint8. i'm going to test, thanks. upd. After many...
Hey, any update find? :)