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목록Research (67)
Shakerato
sudo raspi-config 4. Localisation Options - L1 Change Locale - en_US utf-8 (check) - kr_KR utf-8 (check)5. Interfacing Options (if you want) - P1 Camera (if you have, check) - p2 SSH (if you want to use, check) # 한글 깨짐시 아래 명령 실행 후 재부팅sudo apt-get install fonts-unfonts-core After then, Reboot the system
0, python 설치 1, kaggle api 설치, 'cmd'창에서 아래 명령 실행 pip install kaggle 2. kaggle api 토큰 생성 아래 링크 (은 자기 아이디로 대체)에 접속 https://www.kaggle.com//account 페이지 중간에 'Create New API Token' 버튼을 클릭 kaggle.json 파일이 다운로드 되면 C:\Users\\.kaggle 이 폴더에 kaggle.json 파일을 옮기기 3. kaggle competition 참가 후 kaggle api를 이용해 데이터셋 다운로드 예를들어 https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data 위 competition에 ..
1. At first, Uninstall 'Android Studio' 2. Delete Android SDK C:\Users\[User]\AppData\Local\Android 3. Go to %USERPROFILE% (Copy %USERPROFILE% to address bar in My Computer) 3.1. Delete folder '.android' 3.2. Delete folder '.AndroidStudio' 3.3. Delete folder '.gradle' 3.4. Delete folder '.AndroidStudio1.3'
1. check cuda9.0 installed (nvcc --version) (if yet, install cuda) https://developer.nvidia.com/cuda-90-download-archive (if no gpu) pass this step 2, Install Anaconda https://www.anaconda.com/download/ 3. in 'cmd' conda create -n pytorch python=3.6 anaconda (follow https://anaconda.org/soumith/pytorch)4. in 'cmd' conda install pytorch cuda90 -c pytorch (if no gpu) conda install pytorch-cpu -c p..
Add below code into the "/youtube-8m-master/video_level_models.py" You can run this code from console(terminal). I use Windows PowerShell. python train.py --feature_names='mean_rgb,mean_audio' --feature_sizes='1024,128' --model='MyModel' --train_data_pattern=C:/Users/yoon/Desktop/youtube8m/yt8m/v2/video/train*.tfrecord --train_dir C:/Users/yoon/Desktop/youtube8m/yt8m/v2/models/video/sample_model..
## To avoid duplicate file names problem in Windows (e.g. Ab.txt, aB.txt),## At first, I download the dataset and renamed the file names in the Linux OS.## then, I copy renamed files to my Windows desktop for training deep neural network.## Renamed dataset also works well on the YouTube-8M training code. import osimport shutil oldpath = '/data/yt8m/v2/video/'newpath = '/data/yt8m/v2/video2/' fil..