Comments (3)
哥们给个联系方式我有一些问题想咨询你
from tensorrt-for-yolo-series.
我主页有
from tensorrt-for-yolo-series.
请问一下为什么yolov8 end2end的推理,warmup和没有warmup时间相差这么多吗?没有warmup大概700ms,有warmup只有6ms,Infer函数不都是执行的图片放入gpu,然后推理结果从gpu放到内存吗?难道是warmup之后,图片不需要从内存到gpu了吗? 另外,如果我是处理视频,需要实时从视频帧读取到gpu,这应该是没办法用warmup吧?这应该怎么处理?
模型load以后 可以warmup, 使用空数据infer几次 然后 业务流来了以后直接推理
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Related Issues (20)
- YOLOv7 Tensorrt converted model inference is equal to PyTorch model HOT 3
- int8 vs fp16 加速倍数能有多少? HOT 1
- How to use engine in a process or a thread HOT 4
- how to deploy in multiple nvidia card, such as a computer with 8 3060 card?
- Add dynamic batch support for converting from onnx to .engine?
- auto in_dims = engine->getBindingDimensions(engine->getBindingIndex("image_arrays")); HOT 1
- En715 Jetson xaiver Nx Yolov7.trt Not detect HOT 2
- yolov7,official,int8,onnx-> trt报错 HOT 3
- c++ endtoend 关于预测的置信度绘制 HOT 4
- memory leak: Destroy function does not work
- Detection duplicates with fp16 on Jetson Nano (TensorRT v8.2.1.8) HOT 2
- Support for windows?
- License? HOT 4
- 关于V8 tensorrt 出现乱框的情况 HOT 33
- TensorRT Conversion Issue "TypeError: pybind11::init(): factory function returned nullptr" HOT 2
- yolox 自己训练的模型 trt推理 位置不对 HOT 1
- Error Code 1: Serialization (Serialization assertion creator failed.Cannot deserialize plugin since corresponding IPluginCreator not found in Plugin Registry) HOT 2
- wrong confidence score (negative confidence score) on Jetson Nano inference HOT 3
- usage example for image_batch.py HOT 2
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