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detect.py after converting in onnx with half precision doesn't work #5659
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👋 Hello @skprot, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started: $ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
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StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit. |
Forgot about --inplace flag |
@skprot note that --half and --device detect.py arguments only apply to pytorch inference. ONNX inference will run on whatever onnxruntime installation was chosen here (if not already installed) and at whatever precision you exported at: Lines 315 to 318 in c2523be
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@skprot could you provide an example for your solution? I am still stuck. I am doing: But I still get the error:
Also adding |
@matbun @skprot good news 😃! Your original issue may now be fixed ✅ in PR #6268. Usage example: # Export
python export.py --weights yolov5s.pt --include onnx --simplify --inplace --device 0 --half
# Inference
python detect.py --weights yolov5s.onnx --device 0 --half
python val.py --weights yolov5s.onnx --data data.yaml --device 0 --half To receive this update:
Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀! |
@glenn-jocher Thank you! I confirm it works for me :) |
@matbun great! |
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Question
After converting .pt weights in .onnx format with half precision and running it with detect.py an error appears related to the fact that not all layers have been transferred to float16.
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from yolov5l.onnx failed:Type Error: Type parameter (T) of Optype (Concat) bound to different types (tensor(float) and tensor(float16) in node (Concat_505).
I executed export.py code with parameters:
python export.py --weights yolov5l.pt --half --device 0
And after sucsessful convertation I ran the following command:
python detect.py --weights yolov5l.onnx --half --device 0
and it gave me an error above.Additional
There is no such error if I translate without the --half flag
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