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[Bug]: use igpu in nuc, yolov10 output is weird #25499
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Hi @ylab604 which OpenVINO demos/samples you are running? |
convert yolov10 openvino tutorial openvino ver ==2024.1 |
@ylab604 I have validated the tutorial on GPU and CPU from OpenVINO 2024 and it is working fine. Which other version is not working at igpu? For your information, this tutorial is only available and validated in the OpenVINO 2024 version. Can you explain how you run in the tutorial in other version and what version you are using? |
did you check in igpu and os? i checked in intel nuc. unbuntu 20.04 |
Hi @ylab604 Yes. I have also validated with Ubuntu 20.04 (Intel NUC) and it is working fine from my end. What is the specific Intel Processor you are using? |
would you tell me specific version of openvino? openvino==2024.?? and what is the os version of ubuntu? 20.04? and how about int8 model? |
@ylab604 I am running with OpenVINO 2024.0,2024.1 and 2024.2 for all precision with no issues. |
@Aznie-Intel =============================================
|
@Aznie-Intel thankyou |
OpenVINO Version
2024
Operating System
Ubuntu 20.04 (LTS)
Device used for inference
GPU
Framework
PyTorch
Model used
Yolov10
Issue description
model yolo v10 int8
[test on cpu]
when use cpu, result is good
[test on igpu]
![image](https://private-user-images.githubusercontent.com/99255566/347663018-1770ed0c-d71c-4332-8726-6e2d4d3f12a9.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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._nUBc0vJCuKGVfQFQclee39wCkBK9WXThej6UlQt7ZA)
![image](https://private-user-images.githubusercontent.com/99255566/347663115-d295daa5-3471-46c6-8030-5a7ea76f1d13.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.VtQ3fA-1TYD3GO4fVCfdnAntQ0oyVciqPoPISyvaGdE)
Step-by-step reproduction
i think
if "GPU" in device.value or "NPU" in device.value:
pass
ov_model.reshape({0: [1, 3, 640, 640]})
this code has problem
when i use fp32 model with openvino, adapt with reshape({0: [1, 3, 640, 640]}) output result was weird but remove reshape case was good.
Relevant log output
Issue submission checklist
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