Yolov5m in DeepStream is not work well

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Tesla T4
• DeepStream Version V6.0
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.0
• NVIDIA GPU Driver Version (valid for GPU only) 440.118.02
• Issue Type( questions, new requirements, bugs) questions
• 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)
i run the deepstream_python_apps/apps/deepstream-test3 with 30 input sources(H264.mp4),pgie model is yolov5m.And the FPS is only 20, is this correct ?

this is pgie config

[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
model-color-format=0
custom-network-config=yolov5m.cfg
model-file=yolov5m.wts
model-engine-file=model_b30_gpu0_fp16.engine
#int8-calib-file=calib.table
labelfile-path=labels.txt
batch-size=30
network-mode=2
num-detected-classes=80
interval=5
gie-unique-id=1
process-mode=1
network-type=0
cluster-mode=2
#maintain-aspect-ratio=1
parse-bbox-func-name=NvDsInferParseYolo
custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet

[class-attrs-all]
nms-iou-threshold=0.6
pre-cluster-threshold=0.25

@gaohuizzz Rtsp-muti-input is not work well in DeepStream python-app test3 describes the program cannot run normally with 30 RTSP streams, but this one describes the 30 H264 inputs files works but low FPS, so deepstream-test3 works with 30 local MP4 files (while low FPS) but not works with 30 RTSP streams, correct?

Please follow this to trouble shoot the application running slowly.

Troubleshooting — DeepStream 6.1 Release documentation The DeepStream application is running slowly

There is no update from you for a period, assuming this is not an issue anymore.
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Thanks

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