NVIDIA Jetson Nano & Yolo3(TensorRT) – PART2

https://github.com/opendatacam/opendatacam/blob/master/documentation/USE_WITHOUT_DOCKER.md
— memory issue https://github.com/opendatacam/opendatacam/issues/95

test case (20200124) – latest version testing…

$ jetson_release

  • NVIDIA Jetson NANO/TX1
  • Jetpack 4.3 [L4T 32.3.1]
  • CUDA GPU architecture 5.3
  • Libraries:
  • CUDA 10.0.326
  • cuDNN 7.6.3.28-1+cuda10.0
  • TensorRT 6.0.1.10-1+cuda10.0
  • Visionworks 1.6.0.500n
  • OpenCV 4.1.1 compiled CUDA: YES
  • Jetson Performance: inactive

Step 1sudo apt-get update -y

Step 2sudo apt-get install -y libv4l-dev

./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg

./darknet detect cfg/yolov3-tiny.cfg yolov3-tiny.weights data/dog.jpg

./darknet detector demo cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights -ext_output -c 1

this method test result : Memory leck occurred

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