为什么我的 Jetson Nano 不能运行 deepstream-test1

该问题发给 NVIDIA 论坛，下面是与管理员的交流内容：

https://forums.developer.nvidia.com/t/can-deepstream-test1-run-on-jetson-nano-2g/179912

xuyeping

Hi，

After I compile deepstream-test1 directly, the program can’t run on my Jetson Nano 2G. However, after removing the deep learning model nvinferfrom the codes, the program can run. Is it because my nano 2G memory is too small, so the deep learning model can’t run? Or other reasons?

Fiona.Chen

What kind of error have you met?

xuyeping

When I enter the command line ./deepstream-test1-app sample_720p.h264, the window deepstream-test1-app was showed. However, the window only draws the title and the border, the image is not displayed in it. The canvas of the window we saw is the desktop of Jetson Nano. The output of this program is as follows:

jetson@jetson-desktop:/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-test1$ ./deepstream-test1-app sample_720p.h264
Now playing: sample_720p.h264Using winsys: x11
Opening in BLOCKING MODE
0:00:11.198570435  8436   0x55934fcad0 INFO                 nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-nvinference-engine> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1702> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0   INPUT  kFLOAT input_1         3x368x640
1   OUTPUT kFLOAT conv2d_bbox     16x23x40
2   OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40         0:00:11.218911904  8436   0x55934fcad0 INFO                 nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary-nvinference-engine> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1806> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine
0:00:11.316350994  8436   0x55934fcad0 INFO                 nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary-nvinference-engine> [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully
Running...
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
ERROR: [TRT]: ../rtSafe/cuda/reformat.cu (925) - Cuda Error in NCHWToNCHHW2: 719 (unspecified launch failure)
ERROR: [TRT]: FAILED_EXECUTION: std::exception
ERROR: Failed to enqueue inference batch
ERROR: Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:00:12.668284961  8436   0x5593091de0 WARN                 nvinfer gstnvinfer.cpp:1225:gst_nvinfer_input_queue_loop:<primary-nvinference-engine> error: Failed to queue input batch for inferencing
ERROR: Failed to make stream wait on event, cuda err_no:4, err_str:cudaErrorLaunchFailure
ERROR: Preprocessor transform input data failed., nvinfer error:NVDSINFER_CUDA_ERROR
ERROR from element primary-nvinference-engine: Failed to queue input batch for inferencing
0:00:12.668905003  8436   0x5593091de0 WARN                 nvinfer gstnvinfer.cpp:1225:gst_nvinfer_input_queue_loop:<primary-nvinference-engine> error: Failed to queue input batch for inferencing
ERROR: Failed to make stream wait on event, cuda err_no:4, err_str:cudaErrorLaunchFailure
ERROR: Preprocessor transform input data failed., nvinfer error:NVDSINFER_CUDA_ERROR
0:00:12.669423588  8436   0x5593091de0 WARN                 nvinfer gstnvinfer.cpp:1225:gst_nvinfer_input_queue_loop:<primary-nvinference-engine> error: Failed to queue input batch for inferencing
ERROR: Failed to make stream wait on event, cuda err_no:4, err_str:cudaErrorLaunchFailure
ERROR: Preprocessor transform input data failed., nvinfer error:NVDSINFER_CUDA_ERROR
0:00:12.669702021  8436   0x5593091de0 WARN                 nvinfer gstnvinfer.cpp:1225:gst_nvinfer_input_queue_loop:<primary-nvinference-engine> error: Failed to queue input batch for inferencing
Error details: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1225): gst_nvinfer_input_queue_loop (): /GstPipeline:dstest1-pipeline/GstNvInfer:primary-nvinference-engine
Returned, stopping playback
Frame Number = 0 Number of objects = 0 Vehicle Count = 0 Person Count = 0** (deepstream-test1-app:8436): WARNING **: 14:51:19.402: Use gst_egl_image_allocator_alloc() to allocate from this allocator
0:00:13.099598980  8436   0x5593091c00 WARN                 nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-nvinference-engine> error: Internal data stream error.
0:00:13.099640229  8436   0x5593091c00 WARN                 nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop:<primary-nvinference-engine> error: streaming stopped, reason error (-5)
Frame Number = 1 Number of objects = 0 Vehicle Count = 0 Person Count = 0** (deepstream-test1-app:8436): WARNING **: 14:51:19.417: Use gst_egl_image_allocator_alloc() to allocate from this allocator
Frame Number = 2 Number of objects = 0 Vehicle Count = 0 Person Count = 0** (deepstream-test1-app:8436): WARNING **: 14:51:19.429: Use gst_egl_image_allocator_alloc() to allocate from this allocator
Frame Number = 3 Number of objects = 0 Vehicle Count = 0 Person Count = 0** (deepstream-test1-app:8436): WARNING **: 14:51:19.442: Use gst_egl_image_allocator_alloc() to allocate from this allocator

Fiona.Chen

I just tried with Nano board with deepstream-test1-app, it can run and I can see the video displayed.

Can you provide platform information?

**•	Hardware Platform (Jetson / GPU)**
**•	DeepStream Version**
**•	JetPack Version (valid for Jetson only)**
**•	TensorRT Version**
**•	NVIDIA GPU Driver Version (valid for GPU only)**

xuyeping

Thank you so much! My running environment is as follows:

**•	Hardware Platform: Jetson Nano 2G **
**•	DeepStream Version: DeepStream 5.1 **
**•	JetPack Version UNKNOWN [L4T 32.4.4] (this information is from JTOP)**
**•	TensorRT Version: 7.1.3.0 **
**•	NVIDIA GPU Driver Version (valid for GPU only)**

The information displayed in jtop is shown in the figure below：

Fiona.Chen

Deepstream5.1 is based on JetPack 4.5.1 GA(corresponding to L4T 32.5.1 release) .

Please install Deepstream5.1 and the dependencies correctly.

https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html#jetson-setup

按照 Fiona.Chen 的答复，问题原因应该是我的 Jetson Nano 相关软件版本不匹配所致。我会按照所提的 URL 网址下载系统镜像，重新制作系统。稍后我会把实验结果详细写成文章与大家共享！

为什么我的 Jetson Nano 不能运行 deepstream-test1相关推荐

jetson nano 5 运行YOLOV5
yolo系列算法在目标检测上很有地位,速度很快.之前都是在电脑上跑代码,今天来踩踩nano的坑,话不多少,开始吧! 1.首先下载yolov5的源码(我用的是5.0版本),可以去github,不过我个人 ...
Jetson nano sudo运行vncserver后导致Ubuntu循环登录
今早在jetson nano上安装vncserver后,重启后出现了循环登录的问题.输入密码后黑屏,然后需要再次输入密码... 问题是因为 : ~/下的 .ICEauthority文件的owner被修 ...
jetson nano 用 tensorrt 运行 nanodet(kitti数据集)
题目是目标,我们先一步一步来做,第一步是训练神经网络, 我用的是 kitti 数据集,训练顺序为,第一步,拿到kitti数据集,第二步,把kitti数据集修改为voc数据集格式,第三步,修改配置文件进 ...
jetson nano开发使用的基础详细分享
前言: 最近拿到一块jetson nano 2GB版本的板子,折腾了一下,从烧录镜像.修改配件等,准备一篇开箱基础文章给大家介绍一下这块AI开发板. 作者:良知犹存转载授权以及围观:欢迎关注微信公众 ...
英伟达 Nano 新手必读：Jetson Nano 深度学习算法模型基准性能测评
NVIDIA在2019年NVIDIA GPU技术会议(GTC)上宣布了Jetson纳米开发工具包,这是一款99美元的计算机,目前可供嵌入式设计师.研究人员和DIY制造商使用,在一个紧凑.易用的平台上, ...
Deepson在Jetson Nano上进行视频分析的入门
系列文章目录提示:这里可以添加系列文章的所有文章的目录,目录需要自己手动添加例如:第一章 Python 机器学习入门之pandas的使用提示:写完文章后,目录可以自动生成,如何生成可参考右边的帮 ...
英伟达｜jetson nano开发使用的基础详细分享
大家好,我是写代码的篮球球痴,最近我朋友写了一篇英伟达开发板的文章,分享给大家. 前言: 最近拿到一块jetson nano 2GB版本的板子,折腾了一下,从烧录镜像.修改配件等,准备一篇开箱基础文章 ...
NVIDIA之AI Course：Getting Started with AI on Jetson Nano—Class notes(五)
NVIDIA之AI Course:Getting Started with AI on Jetson Nano-Class notes(五) Notice The original text come ...
TensorFlow对象检测-1.0和2.0：训练，导出，优化（TensorRT），推断（Jetson Nano）
作者|Abhishek 编译|Flin 来源|analyticsvidhya 第1部分从在自定义数据集中训练检测器到使用TensorFlow 1.15在Jetson纳米板或云上进行推理的详细步骤完 ...

为什么我的 Jetson Nano 不能运行 deepstream-test1

为什么我的 Jetson Nano 不能运行 deepstream-test1相关推荐

最新文章

热门文章