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[Jetson][转载]Comparison of DeepStream SSD Object Detection Performance on NVIDIA Nano, Xavier NX and
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发布于 2025-07-18 16:45:01
发布于 2025-07-18 16:45:01
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In this tutorial, we tested our NVIDIA Jetson Nano, Xavier NX and AGX Xavier's DeepStream performance in object detector sample. Our test sources are a video file (FPS:60, resolution:1920x1080, type:MP4) and 4 different cameras (FPS:25, resolution:1920x1080, type:RTSP).
NVIDIA Jetson Nano Info:
Software: JetPack 4.5 (L4T-32.5)
Hardware: Jetson Nano with DSBoard-NX2 Carrier Board
DeepStream Version: 5.0.1
Power Mode: MAXN
NVIDIA Jetson Xavier NX Info:
Software: JetPack 4.5 (L4T-32.5)
Hardware: Jetson Xavier NX with DSBoard-NX2 Carrier Board
DeepStream Version: 5.0.1
Power Mode: 15W 6CORE
NVIDIA Jetson AGX Xavier Info:
Software: JetPack 4.4 (L4T-32.4.3)
Hardware: Jetson AGX Xavier Developer Kit
DeepStream Version: 5.0.0
Power Mode: MAXN
Performance Test Setup
To begin with, let's set our test environment with maximum power mode:
(for Xavier NX)
sudo nvpmodel -m 2
(for AGX Xavier and Nano)
sudo nvpmodel -m 0
Type these commands and continue other steps in both of them:
sudo jetson_clocks
sudo chown -hR nvidia /opt/nvidia/deepstream/
cd /opt/nvidia/deepstream/deepstream/sources/objectDetector_SSD/
cd /opt/nvidia/deepstream/deepstream/sources/objectDetector_SSD/
Then, copy sample_ssd_relu6.uff, ssd_coco_labels.txt and all configuration text files into /opt/nvidia/deepstream/deepstream/sources/objectDetector_SSD/ folder.
Change source URL (for source0, source1, source2 and source3) in each deepstream_app_config_ssd_rtsp... file (3 files).