Category: 인공지능
Tackling multiple tasks with a single visual language model
https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
특별 기고_유럽연합 인공지능법안의 개요 및 대응방안
http://sapi.co.kr/blog/2021/09/24/2021-9-2%ed%98%b8-%ed%8a%b9%eb%b3%84-%ea%b8%b0%ea%b3%a0_%ec%9c%a0%eb%9f%bd%ec%97%b0%ed%95%a9-%ec%9d%b8%ea%b3%b5%ec%a7%80%eb%8a%a5%eb%b2%95%ec%95%88%ec%9d%98-%ea%b0%9c%ec%9a%94-%eb%b0%8f-%eb%8c%80/?fbclid=IwAR1Nz012Bb0hYDSQfYykpJIt1xoCDlVceB8koV-o_SPdbpSsUSGg-dmqA_U
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…]
