Slow FPS in Deepstream Python test applications over Jetson Nano

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Hi everyone,

This is my device information:
Hardware Platform:Jetson nano 4GB
deepstream-app version 5.1.0
DeepStreamSDK 5.1.0
CUDA Driver Version: 10.2
CUDA Runtime Version: 10.2
TensorRT Version: 7.1
cuDNN Version: 8.0

I’m trying to run deepstream-test-2 application over Jetson Nano 4GB but getting FPS of only 6.8 avg. I had updated the config file according to Nano and also had created the engine files. I had tested the engine files with trtexe and it is fine. I had checked the inference time manually and found that it is around 2.1457672119140625e-05 per frame that means the inference is working fine.
I had tried this but it didn’t help.

I had checked the debugger as well. Provided below are the warnings that I have got so far:

0:00:00.527116941 12786 0x31676c40 WARN omx gstomx.c:2826:plugin_init: Failed to load configuration file: Valid key file could not be found in search dirs (searched in: /home/apoorv/.config:/etc/xdg/xdg-unity:/etc/xdg as per GST_OMX_CONFIG_DIR environment variable, the xdg user config directory (or XDG_CONFIG_HOME) and the system config directory (or XDG_CONFIG_DIRS)
0:00:00.968608426 12786 0x31676c40 WARN v4l2 gstv4l2object.c:4434:gst_v4l2_object_probe_caps:nvv4l2-decoder:src Failed to probe pixel aspect ratio with VIDIOC_CROPCAP: Unknown error -1
0:00:00.968701032 12786 0x31676c40 WARN v4l2 gstv4l2object.c:2375:gst_v4l2_object_add_interlace_mode:0x314145f0 Failed to determine interlace mode
0:00:00.968770253 12786 0x31676c40 WARN v4l2 gstv4l2object.c:2375:gst_v4l2_object_add_interlace_mode:0x314145f0 Failed to determine interlace mode
0:00:08.665443038 12786 0x31676c40 WARN basesrc gstbasesrc.c:3583:gst_base_src_start_complete: pad not activated yet
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
0:00:08.904337434 12786 0x31756b70 WARN v4l2 gstv4l2object.c:4434:gst_v4l2_object_probe_caps:nvv4l2-decoder:src Failed to probe pixel aspect ratio with VIDIOC_CROPCAP: Unknown error -1
0:00:08.904485198 12786 0x31756b70 WARN v4l2 gstv4l2object.c:2375:gst_v4l2_object_add_interlace_mode:0x314145f0 Failed to determine interlace mode
0:00:08.904629837 12786 0x31756b70 WARN v4l2 gstv4l2object.c:2375:gst_v4l2_object_add_interlace_mode:0x314145f0 Failed to determine interlace mode
0:00:08.923893307 12786 0x31756b70 WARN v4l2videodec gstv4l2videodec.c:1673:gst_v4l2_video_dec_decide_allocation: Duration invalid, not setting latency
0:00:08.927560799 12786 0x31756b70 WARN v4l2bufferpool gstv4l2bufferpool.c:1065:gst_v4l2_buffer_pool_start:nvv4l2-decoder:pool:src Uncertain or not enough buffers, enabling copy threshold
0:00:08.939178341 12786 0x563138a0 WARN v4l2bufferpool gstv4l2bufferpool.c:1512:gst_v4l2_buffer_pool_dqbuf:nvv4l2-decoder:pool:src Driver should never set v4l2_buffer.field to ANY

I had also tested the C-based test applications as well and facing the same issue of low FPS.

Please can anyone help me out with this issue?

3

Hi,
Sorry for the late.
Can you specify how you measure FPS for test2 sample? and the issue is from builtin model or your model?

4

Hi @Amycao ,
I have used Deepstream-python-demos repositories GETFPS function to measure the FPS. I have not used custom model, its resnet10 that I’m using here. If you need anymore details please let me know.

5

I see you observe low fps with c version too, so i try to repro your issue with c version test2 sample, with fps.patch applied, i can get real time performance. please let me know more info.

Frame Number = 1440 Number of objects = 8 Vehicle Count = 6 Person Count = 2
Frame Number = 1441 Number of objects = 0 Vehicle Count = 0 Person Count = 0
End of stream
Returned, stopping playback
Average fps 133.911247
Deleting pipeline

fps.patch (1.1 KB)

7

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