Struggling to detect classes with DeepStream-Yolo despite following YOLOv5 setup

Goodday

I am struggling to with https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/docs/YOLOv5.md. I follow all the instructions but I am unable to infer/detect the classes when I run deepstream-app -c deepstream_app_config.txt. I have also made a post on the of the issue on the
DeepStream-Yolo repo here
[incorrect 0 INPUT kFLOAT input 3x640x640 1 OUTPUT kFLOAT output 25200x6 shape instead of WARNING: [TRT]: The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1. INFO: [Implicit Engine Info]: layers num: 4 0 INPUT kFLOAT input 3x640x640 1 OUTPUT kFLOAT boxes 25200x4 2 OUTPUT kINT32 classes 25200x1 3 OUTPUT kFLOAT scores 25200x1 · Issue #595 · marcoslucianops/DeepStream-Yolo · GitHub](https://Issue post). But I am still unable to get the classes to infer/detect.

I would really be greatfull for any additional information or if anyone can point me in the right directio

Hi ,
Request you to raise thi son Deepstream Forum.

Thanks

Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• 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)

Gooday I have posted there issue. But I haven’t had any responses from the maintainers of the repo.

• Hardware Platform (Jetson / GPU) - NVIDIA Jetson AGX Xavier Developer Kit
• DeepStream Version - 6.2.0
• JetPack Version - 5.1.1
• TensorRT Version - 8.5
• NVIDIA GPU Driver Version (valid for GPU only) - N.A
• Issue Type - DeepStream-Yolo/docs/YOLOv5.md at master · marcoslucianops/DeepStream-Yolo · GitHub I was trying to run this app.
the command
deepstream-app -c deepstream_app_config.txt
• How to reproduce the issue - incorrect 0 INPUT kFLOAT input 3x640x640 1 OUTPUT kFLOAT output 25200x6 shape instead of WARNING: [TRT]: The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1. INFO: [Implicit Engine Info]: layers num: 4 0 INPUT kFLOAT input 3x640x640 1 OUTPUT kFLOAT boxes 25200x4 2 OUTPUT kINT32 classes 25200x1 3 OUTPUT kFLOAT scores 25200x1 · Issue #595 · marcoslucianops/DeepStream-Yolo · GitHub

could you provide a summary? is there any DeepStream bug? Thanks!

in Summary when I follow https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/docs/YOLOv5.md.Everything works but on the pipelines when the video/stream is pulled there is no inference/detection of the classes I have more then triple checked if I have the correct labels.txt file. It also seems to be something a few people are struggling with but our questions haven’t been fully addressed on the Deepstream repo.

In the link, seems the model has two layers, and you want four layers. it should be the issue of export_yoloV5.py. this issue would be outside of DeepStream. maybe the author can fix.