Comments (1)
The internal logic of YoloV8 should be thread safe, however GPUs sometimes cannot perform inference in parallel, for this there is the property YoloV8parameters.SuppressParallelInference
which when it is set to true
the inference is performed inside a lock block, the preprocess and postprocess will still work in parallel to speed up the results.
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Related Issues (20)
- Understanding Yolov8 Task Input and Output Formats in OnnxRuntime HOT 1
- Difference between Python and DotNet 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
- DetectObb is not showing any bounding boxes for object (car in my case) HOT 6
- Processing video files HOT 1
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