and this one for pose detection https://github.com/YunghuiHsu/deepstream-yolo-pose/blob/main/deepstream_YOLOv8-Pose_rtsp.py
i tried to make it in one whole code but i have a problem regarding displaying the pose and the bounding box as follow person id gender: … age : …
also i need to send these metadata to kafka as json format that will contain id of the person detected , its gender, its age, its keypoints , the frame_number etc .
my code is below : deepstream.txt (25.5 KB)
Also, i dont know why but the stream get blocked in the first frame although it printed out the frames in the terminal
OK. Could you provide complete information as applicable to your setup? Thanks 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)
of course. here is it :
Hardware Platform (Jetson / GPU) : Jetson nano 4gb
DeepStream Version : 6.0.1
JetPack Version (valid for Jetson only) : 4.6.1
TensorRT Version : 8.2.1.8
Issue Type( questions, new requirements, bugs) : the Stream get stuck in the first frame although the metadata is printing in the terminal. i tried as i said above combining the three models (age,gender,pose detection) and i got that error also how can i send the metadata related to the person detected (age , gender, the keypoints)in json format
Since you are using Jetson nano, it could be a performance problem. Could you try to set Interval parameter to the nvinfer? You can refer to the Gst-nvinfer Gst Properties.
Because your board runs these 3 models with a heavy loading, we have to skip some frames with the interval parameter. It’s normal that there are no detections for the skipped frames.
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks