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```
(yolov10) PS D:\python test\yolov10\TensorRT-For-YOLO-Series-cuda-python> python trt.py -e yolov10n.trt -i src/test.png -o yolov10-1.jpg
Namespace(engine='yolov10n.trt', image='src/test.png', o…
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Hello,i convert the official pretrained model to the onnx model by
`yolo export model=jameslahm/yolov10{n/s/m/b/l/x} format=onnx opset=13 simplify`
Then, i convert the onnx to the tensorRT-fp16 i…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
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pip install cuda-python
Requirement already satisfied: cuda-python
python export.py -o yolov10n.onnx -e yolov10.trt --end2end --v10 -p fp32
File "TensorRT-For-YOLO-Series-cuda-python\export.p…
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I was looking at a past issue (see below) regarding how to set-up my custom dataset for INT8 calibration. I was just wondering what subset of the dataset indicated in the YAML file is used for calibra…
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Where can get a high performance version of the code, such the pytorch c++ version?
Thanks,
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First thing I want to say thanks so much to the author for this work!
Could we export YOLO-World to ONNX or TensorRT now?
Thank you in advance!
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tensorrt不支持64位精度的ONNX模型:
make yolo时报错:
[2024-04-01 20:28:03][error][trt_infer.cpp:23]:NVInfer: src/tensorRT/onnx_parser/ModelImporter.cpp:739: --- End node ---
[2024-04-01 20:28:03][error][trt_infe…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Hi, great job on setting up Faster-RCNN with TensorRT! Are you also planning on doing the same for YOLO and SSD? :) And also what fps are you currently getting when running sampleFasterRCNN?