Very nice work to save my lots of time!

But there are some bugs for own trained model in your code:

https://github.com/nanmi/YOLOX-deepstream/blob/96f44f9a5b5e450276a029e7580667136cbb2320/nvdsinfer_custom_impl_yolox/nvdsparsebbox_yolox.cpp#L168

should be:

const int basic_pos = anchor_idx * (num_class + 4 + 1);

Thanks for your job

I am currently using xavier nx. I want to use deepstream there, but the detection result is not displayed.

I got the model_trt.engine pth file using trt.py provided at https://github.com/Megvii-BaseDetection/YOLOX address.

Do I have to get the engine file using the method you mentioned at https://zhuanlan.zhihu.com/p/391693130?

Thank you

我使用了您的代码来部署我自己训练的yolox模型，在编译以后，运行deepstream_app_config.txt的过程中报了这个错，这是怎么回事？ **PERF: FPS 0 (Avg) **PERF: 0.00 (0.00) ** INFO: <bus_callback:181>: Pipeline ready

Opening in BLOCKING MODE Opening in BLOCKING MODE NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261 ** INFO: <bus_callback:167>: Pipeline running

NvMMLiteOpen : Block : BlockType = 4 ===== NVMEDIA: NVENC ===== NvMMLiteBlockCreate : Block : BlockType = 4 Segmentation fault (core dumped)

When I ran: %cd YOLOX-deepstream/nvdsinfer_custom_impl_yolox/ !make

In file included from nvdsparsebbox_yolox.cpp:25:0: /opt/nvidia/deepstream/deepstream-5.1/sources/includes/nvdsinfer_custom_impl.h:375:19: error: ‘IPluginFactory’ in namespace ‘nvcaffeparser1’ does not name a type nvcaffeparser1::IPluginFactory *pluginFactory; ^~~~~~~~~~~~~~ /opt/nvidia/deepstream/deepstream-5.1/sources/includes/nvdsinfer_custom_impl.h:376:19: error: ‘IPluginFactoryExt’ in namespace ‘nvcaffeparser1’ does not name a type nvcaffeparser1::IPluginFactoryExt *pluginFactoryExt; ^~~~~~~~~~~~~~~~~ /opt/nvidia/deepstream/deepstream-5.1/sources/includes/nvdsinfer_custom_impl.h:386:16: error: ‘IPluginFactory’ in namespace ‘nvuffparser’ does not name a type nvuffparser::IPluginFactory *pluginFactory; ^~~~~~~~~~~~~~ /opt/nvidia/deepstream/deepstream-5.1/sources/includes/nvdsinfer_custom_impl.h:387:16: error: ‘IPluginFactoryExt’ in namespace ‘nvuffparser’ does not name a type nvuffparser::IPluginFactoryExt *pluginFactoryExt; ^~~~~~~~~~~~~~~~~ Makefile:47: recipe for target 'nvdsparsebbox_yolox.o' failed make: *** [nvdsparsebbox_yolox.o] Error 1

while building, I am getting

nvdsparsebbox_yolox.cpp:25:10: fatal error: nvdsinfer_custom_impl.h: No such file or directory
   25 | #include "nvdsinfer_custom_impl.h"
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
make: *** [Makefile:43: nvdsparsebbox_yolox.o] Error 1

make

g++ -c -o nvdsparsebbox_yolox.o -Wall -std=c++11 -shared -fPIC -Wno-error=deprecated-declarations -I../../includes -I/usr/local/cuda-10.2/include -I/home/nvidia/data/zhangbo/library/opencv-4.5.1/include/opencv4 -I/usr/lib/gcc/x86_64-linux-gnu/7/include/ -fopenmp nvdsparsebbox_yolox.cpp nvdsparsebbox_yolox.cpp:25:10: fatal error: opencv2/opencv.hpp: No such file or directory 25 | #include <opencv2/opencv.hpp> | ^~~~~~~~~~~~~~~~~~~~ compilation terminated. make: *** [Makefile:43: nvdsparsebbox_yolox.o] Error 1

Then i

sudo ln -s /usr/include/opencv4/opencv2 /usr/include/

but

g++ -c -o nvdsparsebbox_yolox.o -Wall -std=c++11 -shared -fPIC -Wno-error=deprecated-declarations -I../../../includes -I/usr/local/cuda-10.2/include -I/home/nvidia/data/zhangbo/library/opencv-4.5.1/include/opencv4 -I/usr/lib/gcc/x86_64-linux-gnu/7/include/ -fopenmp nvdsparsebbox_yolox.cpp nvdsparsebbox_yolox.cpp:26:10: fatal error: nvdsinfer_custom_impl.h: No such file or directory 26 | #include "nvdsinfer_custom_impl.h" | ^~~~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. make: *** [Makefile:43: nvdsparsebbox_yolox.o] Error 1

g++ -c -o nvdsparsebbox_yolox.o -Wall -std=c++11 -shared -fPIC -Wno-error=deprecated-declarations -I../../includes -I/usr/local/cuda-11.1/include -I/usr/local/include/opencv4/opencv2 -I/usr/lib/gcc/x86_64-linux-gnu/9/include/ -fopenmp nvdsparsebbox_yolox.cpp In file included from nvdsparsebbox_yolox.cpp:25: ../../includes/nvdsinfer_custom_impl.h:128:10: fatal error: NvCaffeParser.h: 没有那个文件或目录 128 | #include "NvCaffeParser.h" | ^~~~~~~~~~~~~~~~~ compilation terminated. make: *** [Makefile:44：nvdsparsebbox_yolox.o] 错误 1

Thank you for your ds parsing impl.

It works perfectly without tracker(iou, klt, nvdcf).

But when I try to use the tracker, I get an error.

like this..

I'd like to use a tracker. What should I do?

I used nvidia docker container. (deepstream:5.1-21.02-devel)

GPU : 1080ti, 2080ti

Hello,

I want to run yolox tracking with deepstream and I seem to have succeeded in running the samples detector+deepSORT, but I am stuck in configuring the program to use YOLOX instead of the primary_Detector.

Any ideas how I can run it successfully?

My board is Nvidia Xavier AGX dev kit.

My main concern is the error I receive when trying to build the yolox project: no header opencv2.h found.

** WARN: <parse_tracker:1198>: Unknown key 'display-tracking-id' for group [tracker] MobaXterm X11 proxy: Authorisation not recognised No EGL Display nvbufsurftransform: Could not get EGL display connection [email protected]:/data/download/HanYong/YOLOX/YOLOX-deepstream# unset DISPLAY [email protected]:/data/download/HanYong/YOLOX/YOLOX-deepstream# deepstream-app -c deepstream_app_config.txt ** WARN: <parse_tracker:1198>: Unknown key 'display-tracking-id' for group [tracker] Opening in BLOCKING MODE

Runtime commands: h: Print this help q: Quit

    p: Pause
    r: Resume

** INFO: <bus_callback:181>: Pipeline ready

Opening in BLOCKING MODE NvMMLiteOpen : Block : BlockType = 279 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 279 ** INFO: <bus_callback:167>: Pipeline running

NvMMLiteOpen : Block : BlockType = 4 ===== NVMEDIA: NVENC ===== NvMMLiteBlockCreate : Block : BlockType = 4 H264: Profile = 66, Level = 0 avg bitrate=0 for CBR, force to CQP mode

**PERF: FPS 0 (Avg) **PERF: 308.69 (307.27) **PERF: 356.50 (335.74) ** INFO: <bus_callback:204>: Received EOS. Exiting ...

Quitting App run successful

这里我得到output.mp4检测后视频没有检测框出现，这是什么原因？？？

0:00:04.102224452 9223 0x12d86390 INFO nvinfer gstnvinfer.cpp:602:gst_nvinfer_logger:<primary_gie> NvDsInferCont ext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1681> [UID = 1]: Use deserialized en gine model: /data/download/HanYong/YOLOX/YOLOX-deepstream/model_trt.engine 0:00:04.109017626 9223 0x12d86390 ERROR nvinfer gstnvinfer.cpp:596:gst_nvinfer_logger:<primary_gie> NvDsInferCont ext[UID 1]: Error in NvDsInferContextImpl::parseLabelsFile() <nvdsinfer_context_impl.cpp:441> [UID = 1]: Could not open labels file:/ data/download/HanYong/YOLOX/YOLOX-deepstream/labels.txt ERROR: parse label file:/data/download/HanYong/YOLOX/YOLOX-deepstream/labels.txt failed, nvinfer error:NVDSINFER_CONFIG_FAILED ERROR: init post processing resource failed, nvinfer error:NVDSINFER_CONFIG_FAILED ERROR: Infer Context failed to initialize post-processing resource, nvinfer error:NVDSINFER_CONFIG_FAILED ERROR: Infer Context prepare postprocessing resource failed., nvinfer error:NVDSINFER_CONFIG_FAILED 0:00:04.163979046 9223 0x12d86390 WARN nvinfer gstnvinfer.cpp:781:gst_nvinfer_start:<primary_gie> error: Failed to create NvDsInferContext instance 0:00:04.164053670 9223 0x12d86390 WARN nvinfer gstnvinfer.cpp:781:gst_nvinfer_start:<primary_gie> error: Config file path: /data/download/HanYong/YOLOX/YOLOX-deepstream/config_infer_primary.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED ** ERROR: main:651: Failed to set pipeline to PAUSED Quitting ERROR from primary_gie: Failed to create NvDsInferContext instance Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(781): gst_nvinfer_start (): /Gs tPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie: Config file path: /data/download/HanYong/YOLOX/YOLOX-deepstream/config_infer_primary.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED App run failed

你好，这个是什么原因

Thanks for your excellent job; Can the code deploy in jetson playtform success? I convert pth to onnx by export_onnx.py in origin repo in YOLOX and convert to engine by trtexec in jetson but get none result when detect the dog.jpg because has no bboxes output.

No bbox conf bigger than 0.3

So how can i get the correct engine file

thanks