Deepstream yolov5 error in jetson

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only) 5.1.1
• TensorRT Version TensorRT 8.5.2
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs) questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

I was trying to run deepstream yolov5 code in jetson xavier NX (jetpack 5.1.1).

but I met some error codes, and I don’t know how to fix.

I need help. Please let me know what was the reason.

Total number of YOLO layers: 341

Building YOLO network complete
Building the TensorRT Engine

NOTE: letter_box is set in cfg file, make sure to set maintain-aspect-ratio=1 in config_infer file to get better accuracy

WARNING: [TRT]: Tactic Device request: 4245MB Available: 3330MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 3 due to insufficient memory on requested size of 4245 detected for tactic 0x0000000000000004.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
WARNING: [TRT]: Tactic Device request: 4245MB Available: 3330MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 8 due to insufficient memory on requested size of 4245 detected for tactic 0x000000000000003c.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
WARNING: [TRT]: Tactic Device request: 4202MB Available: 3338MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 3 due to insufficient memory on requested size of 4202 detected for tactic 0x0000000000000004.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
WARNING: [TRT]: Tactic Device request: 4202MB Available: 3336MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 8 due to insufficient memory on requested size of 4202 detected for tactic 0x000000000000003c.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
WARNING: [TRT]: Tactic Device request: 4169MB Available: 3247MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 3 due to insufficient memory on requested size of 4169 detected for tactic 0x0000000000000004.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
WARNING: [TRT]: Tactic Device request: 4169MB Available: 3248MB. Device memory is insufficient to use tactic.
WARNING: [TRT]: Skipping tactic 8 due to insufficient memory on requested size of 4169 detected for tactic 0x000000000000003c.
Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().
Building complete

0:05:05.704981187 35135 0xaaaaf170c900 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1955> [UID = 1]: serialize cuda engine to file: /home/soynet/deepstream/DeepStream-Yolo/model_b1_gpu0_fp32.engine successfully
INFO: [Implicit Engine Info]: layers num: 5
0 INPUT kFLOAT data 3x640x640
1 OUTPUT kFLOAT num_detections 1
2 OUTPUT kFLOAT detection_boxes 25500x4
3 OUTPUT kFLOAT detection_scores 25500
4 OUTPUT kFLOAT detection_classes 25500

nvbufsurface: Failed to create EGLImage.
0:05:06.012114526 35135 0xaaaaf170c900 WARN nvinfer gstnvinfer.cpp:985:gst_nvinfer_start:<primary_gie> error: Failed to set buffer pool to active
** ERROR: main:716: Failed to set pipeline to PAUSED
Quitting
nvstreammux: Successfully handled EOS for source_id=0
ERROR from primary_gie: Failed to set buffer pool to active
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(985): gst_nvinfer_start (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie
App run failed

Is there a pysical monitor connected with your Xavier NX board?

1 Like

DeepStream 6.2 supports JetPack 5.1 GA only. Why do you install JetPack 5.1.1?

The monitor has been connected and resolved Thank you.

I followed the nvidia deptream quick start guide. And I installed it using SD card through jetpack SDK installation link.

https://developer.nvidia.com/embedded/jetpack.

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.