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我在使用自己的onnx模型时候报错如下：
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Unexpected input data type. Actual: (tensor(float16)) , expected: (tens…
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### Search before asking
- [X] I have searched the [issues](https://github.com///issues) and found no similar feature requests.
### Description
User need selection guide.
### Use case
# Object D…
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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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## 复现步骤
使用了来自Ultralytics的[yolov8n.pt](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt)模型导出的yolov8n.onnx(导出命令为`yolo export model=yolov8n.pt format=onnx opset=13`)，通过如下脚本进行i…
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### Describe the issue
Trying out the yolov8 pose models for iOS using ONNX. I have exported the model to ONNX using the following code.
```
from ultralytics import YOLO
# Load a model
for ve…
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Hello,
I'm trying to convert TorchScript to pnnx, but pnnx inference results are different from TorchScript inference results.
1. QAT model from TensorRT:
[model:]( https://pan.baidu.com/…
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跑BDD100K数据集用于Traffic Object Detection任务，只需要检测图像中的汽车，跑完我mAP50为77.97，但Recall很低，只有不到60，但别人论文中YOLOv8n、YOLOv5s这些网络recall能有80左右，这差的太多了，mAP50我跟他们差不多。何解？
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# Performance Metrics
| Model | Test Size | #Params | FLOPs | APval | HorizonJ5 Latency | HorizonJ5 Latency |
|:---------------|:----:|:---:|:--:|:--:|:--:|:--:|
| [YOLOv5-S](https://github.com/u…
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### Search before asking
- [X] I have searched the Inference [issues](https://github.com/roboflow/inference/issues) and found no similar feature requests.
### Question
im trying to run code that p…
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[file.txt](https://github.com/FeiGeChuanShu/ncnn-android-yolov8/files/10915729/file.txt)
Hello,
I converted my yolov8n.pt to onnx to param & bin successfully using all the stipulated procedures. How…