Author: mikado2
Hi
Machine Learning in Korea @ ICLR’20 행사
Machine Learning in Korea @ ICLR’20 행사의 프로그램이 확정되었습니다. 조경현 교수님 강연과 KAIST, 서울대, Postech, UPenn, UC Berkeley, USC, U. of Oxford등 국내외 최고 대학 [more…]
NVIDIA Jetson Nano & Jetson inference – PART5 (PLAY MP3, TTS)
[Play MP3 File] For wav you can use aplay. For mp3 you can use mpg123. (Google Text to Speech/github.com/pndurette/gTTS) $sudo pip install gTTS$sudo apt-get install [more…]
NVIDIA Jetson Nano & Jetson inference – PART4 (CAM&YOLO3)
Base code : https://github.com/jkjung-avt/tensorrt_demos#yolov3 Updated Code : https://github.com/min-sangshik/tensorrt_demos [sample command]python3 trt_yolov3.py –model yolov3-608 –usb –vid 0 –width 1280 –height 720–file –filename test_video.mp4: a video file, [more…]
NVIDIA Jetson Nano & Jetson inference – PART2 (Classification Training 2020/2/13)
A. Jetson-Nano에서 Training을 직접 시키는 방법 jetson-inference/python/training/classification : Classification은 설명이 자세히 나와있음 :https://github.com/dusty-nv/jetson-inference/blob/master/docs/pytorch-transfer-learning.md (에러발생) same error (ir_version diff) 위의 이미지는 PT를 1.3으로 설치에서 발생한 오류임TensorRT [more…]
NVIDIA Jetson Nano & Jetson inference – PART3 (Detection Training&JPG Inference)
PC/Server에서 Darknet Training -> Jetson-Nano로 반영하는 방법 (가장 바람직한 방법, YOLO3 테스트 2020/2/23) # darknet yolov3 weight -> onnx ->tensorrt (Training is OK – In [more…]
NVIDIA Jetson Nano & Jetson inference – PART1
https://github.com/dusty-nv/jetson-inference/blob/master/docs/imagenet-console-2.md Python $ ./imagenet-console.py –network=googlenet images/orange_0.jpg output_0.jpg # –network flag is optional CAM https://github.com/dusty-nv/jetson-inference/blob/master/docs/imagenet-camera-2.md mikado2@mikado2-desktop:~/github/jetson-inference/build/aarch64/bin$./imagenet-camera.py –camera=/dev/video0 detectnet-cam https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-camera-2.md $ ./detectnet-camera.py # using SSD-Mobilenet-v2, default MIPI [more…]
artificial-intelligence-eu-must-ensure-a-fair-and-safe-use-for-consumers
https://www.europarl.europa.eu/news/en/press-room/20200120IPR70622/artificial-intelligence-eu-must-ensure-a-fair-and-safe-use-for-consumers
아마존, 개발자용 딥러닝 자동화 툴 ‘오토글루언’ 공개
http://www.itworld.co.kr/news/141350 https://autogluon.mxnet.io/#installation https://github.com/awslabs/autogluon/
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 Jetpack 4.2.1 Default opencv 3.3.1 from jetpack Darknet with branch https://github.com/opendatacam/darknet/tree/opendatacam test case (20200124) – latest version testing… $ jetson_release NVIDIA Jetson [more…]
NVIDIA Jetson Nano & Yolo3(Darknet) – PART1
1. Fan control #For Preventing OverHeat (오버히트 방지를 위해 팬 장착) git clone https://github.com/Pyrestone/jetson-fan-ctlcd jetson-fan-ctl/sudo gedit /etc/automagic-fan/config.json 2. Camera Test method1 : gst-launch-1.0 nvarguscamerasrc ! [more…]
