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warning:[E] [TRT] 3: [runtime.cpp::~Runtime::346] Error Code 3: API Usage Error (Parameter check failed at: runtime/rt/runtime.cpp::~Runtime::346, condition: mEngineCounter.use_count() == 1. Destroyin…
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@Rasantis hey!
Absolutely, YOLOv8 is designed with efficiency in mind and supports processing multiple video streams in real-time, including RTSP streams. For handling +20 cameras, implementation…
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![Camera TensorRT YOLO Demo_screenshot_09 02 2023](https://user-images.githubusercontent.com/58508173/217861679-6c5c9f94-960a-49c4-98df-3027d311265b.png)
It's predicting the class id that I haven…
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## Description
I want to finetune a quantized yolo model, and export to TRT.
I carefully read the QDQ document and some existed issues to place and remove unused QDQ nodes, the model have 92% int8…
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### 💡 Your Question
I'm trying to do inference with a trt YOLO-NAS-POSE model. I have exported the model to onnx like it shows on the website:
```export_result = yolo_nas_pose_s.export("yolo_nas…
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Will this operate as intended, or are there additional configurations required?
The function executes successfully when done like this: `yolo predict task=detect model=best.engine imgsz=640 half`
…
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As the title mentioned, one of the strength of yolov9 is the relatively high accuracy with smaller size and faster speed, a great tool for embedded devices. I think it would be a nice feature for this…
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Are only tensorrtx 5.0 - yolov5s available??
i created "wts" using tensorrtx lasted version not tensorrtx5.0.
I have converted the yolov5s.pt or yolov5x.pt to wts, and then transformed …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Pred…
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I'm having trouble converting yolov9-e-converted.pt to a TensorRT model using export.py.
I've tested this on Windows 10, 11, and Ubuntu 22.04, and I'm using cuda12.4.1 and tensorrt 10.0.1.
I've enco…