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yolov7 ONNX detection anomaly on DeepStream 7.0 version #611

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ph90119 opened this issue Jan 22, 2025 · 1 comment
Open

yolov7 ONNX detection anomaly on DeepStream 7.0 version #611

ph90119 opened this issue Jan 22, 2025 · 1 comment

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@ph90119
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ph90119 commented Jan 22, 2025

I successfully converted a YOLOv7 ONNX model to a TRT engine and achieved correct detection using DeepStream 6.3 on an RTX 3060. However, when I used the same ONNX file on an RTX 4090 with DeepStream 7.0, the TRT engine was successfully generated, but the detection results were abnormal (bounding boxes were misplaced). Could you please explain why this happens?

Updated test results show that when using DeepStream 7.0 with CUDA 12.2 on an RTX 3060, the ONNX-converted TRT engine performs detection perfectly. The environment and program are identical to those used with the RTX 4090. Why is this happening?

@marcoslucianops
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Are you exporting the model to ONNX with the updated exporter? I did some updates on the code some days ago. Please try to export it again with the new files.

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