Comments (6)
Thanks for the offer, I'll deal with it as soon, would you be willing to submit a PR with the changes in the meantime?
from yolov8.
What are you trying to achieve with SemaphoreSlim
, why not use lock
block?
from yolov8.
I'm trying to get the most out of the GPU. The current configuration has multithreaded code. causes a qnx runtime error, it is necessary to start 1 thread in the code sector that will work with the GPU, and let it prepare images and post-processing in a multi-thread.
from yolov8.
I pushed an update recently, check if this commit does what you need.
555dac6
from yolov8.
Yes, thank you. I got about a 30% increase.
Is it possible to send packets for detection? (batchs)
from yolov8.
at the moment, no..
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Related Issues (20)
- Application hangs on Detect() with GPU HOT 1
- Understanding Yolov8 Task Input and Output Formats in OnnxRuntime HOT 1
- Difference between Python and DotNet HOT 1
- Is there a best example of multithreading or WebApi? HOT 1
- How to enable GPU HOT 3
- Inconsistent model results HOT 2
- Suggest adding OBB support HOT 2
- [discussion] optimize code logic to improve operational efficiency HOT 2
- Index was outside the bounds of the array. HOT 5
- Logic for resizing images to fit the size of the model input data. HOT 4
- Inference with Camera HOT 2
- It's not really using the GPU
- Getting lower confidence values HOT 2
- Load Image HOT 2
- Possible to select between fp16 and fp32? HOT 1
- Error Sequence contains no elements on image plotting HOT 3
- some pictures does not show transparent boxes HOT 1
- Произошла ошибка в обработке клиента onnxruntime_providers_cuda.dll мой проект пробовал на GPU с библиотекой YoloV8.Gpu v4.0.0 HOT 15
- DetectObb is not showing any bounding boxes for object (car in my case) HOT 6
- Processing video files HOT 1
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