Difference between revisions of "Jetson/L4T/TRT Customized Example"

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This page collects some information to deploy a customized model with TensorRT.
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This page collects information to deploy customized models with TensorRT.
  
 
== Deepstream ==
 
== Deepstream ==
 
=== YoloV4 Tiny ===
 
=== YoloV4 Tiny ===
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Deepstream can reach '''60fps''' with 4 video stream on Xavier:
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$ cd /opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo
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$ git apply [path/to/yolov4_tiny.patch]
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$ export CUDA_VER=10.2
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$ make -C nvdsinfer_custom_impl_Yolo
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$ wget https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-tiny.cfg -q --show-progress
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$ wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights -q --show-progress
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$ wget https://raw.githubusercontent.com/AastaNV/eLinux_data/main/deepstream/yolov4-tiny/deepstream_app_config_yoloV4_tiny.txt
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$ wget https://raw.githubusercontent.com/AastaNV/eLinux_data/main/deepstream/yolov4-tiny/config_infer_primary_yoloV4_tiny.txt
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$ deepstream-app -c deepstream_app_config_yoloV4_tiny.txt

Revision as of 02:20, 14 April 2021

This page collects information to deploy customized models with TensorRT.

Deepstream

YoloV4 Tiny

Deepstream can reach 60fps with 4 video stream on Xavier:

$ cd /opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo
$ git apply [path/to/yolov4_tiny.patch]
$ export CUDA_VER=10.2
$ make -C nvdsinfer_custom_impl_Yolo
$ wget https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-tiny.cfg -q --show-progress
$ wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights -q --show-progress
$ wget https://raw.githubusercontent.com/AastaNV/eLinux_data/main/deepstream/yolov4-tiny/deepstream_app_config_yoloV4_tiny.txt
$ wget https://raw.githubusercontent.com/AastaNV/eLinux_data/main/deepstream/yolov4-tiny/config_infer_primary_yoloV4_tiny.txt
$ deepstream-app -c deepstream_app_config_yoloV4_tiny.txt