Deepstream SDK: 6.3 Jetpack: 5.1.2 Jetson Xavier AGX I am currently facing challenges loading the YOLOv7 detection model on a Jetson Xavier AGX with Jetpack 5.1.2. The issues encountered are as follows: Low FPS with NVIDIA-AI-IOT Repository: I utilized the YOLOv7 configuration files from the N…

thank you for answer i used now model yolov8 in jetson and he work correctly

What FPS can you get if running the original sample? and which mode did you set for network-mode?

The “FPS” of the original sample is 20, and I initially used “network-model=0.” Later, I changed it to “network-mode=2,” but the issues were not resolved.

Sorry for the late reply, Is this still an DeepStream issue to support?

[image] mahmoudhedi.ghorbel: I utilized the YOLOv7 configuration files from the NVIDIA-AI-IOT repository here to convert them into an engine. could you elaborate on your test steps? how did you generate yolov7 model? are you using the model from this link ? how did you convert them into an …

Challenges Loading YOLOv7 Detection Model on Xavier AGX with Jetpack 5.1.2

Accelerated Computing Intelligent Video Analytics DeepStream SDK

yingliu December 16, 2023, 8:24am 5

You may need to find where the latency is introduced in your program, the way to measure the latency of different components can be found here: DeepStream SDK FAQ - #12 by bcao

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Challenges Loading YOLOv7 Detection Model on Xavier AGX with Jetpack 5.1.2

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