'분류 전체보기'에 해당되는 글 1027건

  1. 2021.01.17 안녕하세요. 평소 머신러닝, 딥러닝에 관심이 많았는데 캐글은 이번에 처음 시작하게 되어 질문 드립니다. 1. 연구에서도 그렇지만 캐글에서는 특히
  2. 2021.01.15 "RepVGG: Making VGG-style ConvNets Great Again" 논문 소개 안녕하세요, Cognex 이호성입니다. 재미있
  3. 2021.01.14 안녕하세요. Tensorflow KR. 자연어처리 리뷰모임 [집현전]의 운영자 고현웅이라고 합니다. 이번 12월 한 달 동안 집현전에서 만든 자
  4. 2021.01.08 텐서플로우 입문 강의를 두 개 제작하여 머신러닝 야학에 공개했는데요. 열심히 만들었는데... TensorFlow KR 그룹에 공유해봅니다. :)
  5. 2021.01.04 새해부터 데이터셋 Bomb이 터졌네요. Eleuther AI 에서 공개적으로 수집 및 훈련에 사용이 가능한 영어 텍스트 825GB 코퍼스 Pil
  6. 2020.12.31 안녕하세요. 제 깃헙에 아래 첨부한 사진에 나오는 모델들을 개인 공부 차원으로 구현해 보았으니 필요하신 분들은 편하게 가져가세요~~~~ PS
  7. 2020.12.28 안녕하세요 Tensorflow KR. 이번에 제가 하고있는 논문스터디에서 기계번역 서베이를 준비하면서 자연어처리 백그라운드(Seq2Seq 부터
  8. 2020.12.28 대규모 한국어 텍스트 데이터로 학습한 pre-training 언어 모델을 공개합니다!!​ ​ 블로그, 리뷰, 댓글과 같이 사람들이 직접 사용하는
  9. 2020.12.23 안녕하세요, TensorFlow KR 여러분! 생성 모델(Generative Model)은 실제로는 존재하지 않지만, 있을법한 데이터를 만들
  10. 2020.12.22 안녕하세요. 한국어 문장 분리기로 많은 사랑을 받고 있는 Korean Sentence Splitter(KSS)의 새로운 소식을 어디다 남길까
  11. 2020.12.18 Lectures for UC Berkeley CS 285: Deep Reinforcement Learning Playlist : https://
  12. 2020.12.17 Deep Learning in Life Sciences by Massachusetts Institute of Technology (MIT)
  13. 2020.12.16 [self] pycharm에서 graphviz를 conda로 설치하니 안되는데, pip로 설치하니 된다.
  14. 2020.12.16 안녕하세요. Tensorflow KR. 얼마전에 SKT에서 한국어 Seq2Seq 사전학습 모델인 KoBart를 공개하였는데요. 이를 git 2
  15. 2020.12.07 안녕하세요 딥러닝 논문읽기 모임 입니다! 논문 발표자료 : https://www2.slideshare.net/taeseonryu/explai
  16. 2020.12.07 6 free, high-quality Udemy courses for you today: Python https://www.udemy.com
  17. 2020.11.30 [self] 다양한 alpha, beta에 따른 logistic function plot
  18. 2020.11.25 Cheat sheet for python Neural network Machine Learning Data Science for newbies ALL PDF.https://bit.ly/394jjDH
  19. 2020.11.25 python 주피터 노트북(jupyter notebook) 색상 및 테마변경하기
  20. 2020.11.20 How can we improve coding skill??
  21. 2020.11.20 Top 13 YouTube Channels to Learn Data Science
  22. 2020.11.19 https://youtu.be/MMQjmeTmoxQ  최재식 교수님께서 설명가능한 AI(딥러닝)에 관한 여러 모델을 알기 쉽게 말씀해 주셨습니
  23. 2020.11.03 Python youtube_dl.YoutubeDL() Examples
  24. 2020.11.03 youtube-dl옵션 자세히 설명 (youtube-dl - download videos from youtube.com or other video platforms)
  25. 2020.11.02 python과 youtube-dl을 이용하여 유튜브 비디오와 mp3다운받기(youtube videos and mp3s using youtube-dl and python)
  26. 2020.10.29 안녕하세요, SLAM 공부하는 장형기입니다. Roland Siegwart 교수님 랩실에서 Line 기반 place recognition 방식이
  27. 2020.10.28 [self] 파이썬(python) youtube-dl을 이용해 youtube 동영상에서 음성(소리)만 mp3로 받기 3
  28. 2020.10.28 'pip3 install youtube_dl' 이라고 해야 설치된다.
  29. 2020.10.27 프로그래밍 교육 부트캠프를 운영하며 가장 많이 받는 질문들이 있습니다. "XX살인데, 지금 부터 해도 가능할까요?" 관련해서 재밌는 글이 번역
  30. 2020.10.21 matplotlib에서 figure창을 자동으로 닫기

https://www.facebook.com/groups/KaggleKoreaOpenGroup/permalink/828642621201172/

김선우

안녕하세요. 평소 머신러닝, 딥러닝에 관심이 많았는데 캐글은 이번에 처음 시작하게 되어 질문 드립니다. 1. 연구에서도 그렇지만 캐글에서는 특히 모델이 좋은 성능을 내도록 최적의 방법을

www.facebook.com

안녕하세요. 평소 머신러닝, 딥러닝에 관심이 많았는데 캐글은 이번에 처음 시작하게 되어 질문 드립니다.
1. 연구에서도 그렇지만 캐글에서는 특히 모델이 좋은 성능을 내도록 최적의 방법을 사용하는 것이 중요한 것 같습니다. 그러기 위해서는 최신 연구들도 참고할 필요가 있는데 최근에 논문들이 쏟아져 나오고 있는 만큼 이를 따라가기가 어렵다고 느꼈습니다. 캐글 노트북과 discussion들을 참고하는 것도 한 방법인 것 같은데 이 외에 최적의, 최신의 방법론들을 빠르게 습득하고 따라가기 위한 좋은 방법들이 있을까요?
2. 캐글 노트북은 9시간 후에 끊긴다는 단점이 있고 매번 커밋해야지만 학습 과정이 저장되는 것으로 알고 있는데 맞나요? 이러한 점 때문에 대회에서 캐글 노트북을 사용하기 어려운 경우가 있을 것 같은데 원래 다른 곳(코랩, 개인 하드웨어 등)에서 코드를 돌려보고 결과물 또는 코드를(대회에 따라) 제출하는 것이 일반적인가요?
감사합니다.

1. 커뮤니티 가입하셔서 올라오는 글들 보시거나,
탑티어학회 논문들 챙겨 보시면됩니다.

2. 네, 보통 다른 머신에서 학습하고 제출 또는
인퍼런스만 노트북에서 합니다.

안녕하세요. 캐글 입문을 축하드립니다.!
한국의 캐글 그랜드마스터 수가 ? 나라보다는 많아야 한다고 믿는 Limerobot입니다. 저는 지금까지 캐글에서 금메달 8개를 획득했었는데요, 이 경험을 바탕으로 저가 애용하는 방법을 공유 드리겠습니다.

1.
우선 캐글은 극히 실용성을 추구하기에 실제로 성능이 좋고 사용하기 쉬운 모델이나 라이브러리만 활용합니다. (왜냐면 이 외에도 할 일이 엄청 많거든요) 그래서 참여할 대회와 비슷한 종료된 대회의 상위 솔루션을 참고하시면 도움이 됩니다. 보통 좋은 것이 우승하거든요.

아래 링크는 대회 중에도 제가 계속 참고하는 곳입니다.

# 이미지 분야
최신 백본망은 아래 링크 참고
https://paperswithcode.com/sota/image-classification-on-imagenet

위의 백본망 중 아래 파이썬 패키지에서 활용 가능한 것 추천
https://github.com/qubvel/segmentation_models.pytorch

# 텍스트 분야
최신 백본망은 아래 링크를 참고
https://gluebenchmark.com/leaderboard

위의 백본망 중 아래 파이썬 패키지에서 활용 가능한 것 추천
https://github.com/huggingface/transformers

# 그 외 분야
해당 대회의 주최측에서 제공하는 정보나 대회 참여자들이 공유하는 discussion, notebooks 탭을 참고 또는 이전에 수행된 비슷한 대회를 참고하시는 게 좋습니다.










Posted by uniqueone
,

"RepVGG: Making VGG-style ConvNets Great Again" 논문 소개

안녕하세요, Cognex 이호성입니다. 재미있는 논문이 3일전에 공개되어서 소개드립니다.
딥러닝을 이용한 Computer Vision을 처음 공부하면 대표적인 architecture들 부터 배우게 됩니다. 보통 LeNet, AlexNet을 거쳐서 VGG로 넘어가죠? VGG는 다들 한번쯤은 들어보셨을겁니다.
CNN architecture의 발전 과정은 제가 외부에서 발표했던 자료를 참고하시면 도움이 되실 것 같아서 먼저 소개드립니다.
- CNN architecture 톺아보기: https://www.slideshare.net/HoseongLee6/cnn-architecture-a-to-z

CNN architecture는 ResNet의 대 유행을 지나 AutoML을 이용한 Neural Architecture Search(NAS) 계열의 EfficientNet, RegNet이 좋은 성능을 내고 있었는데 갑자기 예전의 추억을 떠오르게 하는 VGG 연구가 제안되었습니다.
논문 링크: https://arxiv.org/abs/2101.03697v1

아이디어는 단순합니다. 그림과 같이 VGG에 기존 ResNet (그림 A)에서 사용하던 residual branch를 추가하여 Single-path에서 Multi-branch로 VGG를 학습시키게 됩니다. (그림 B)
정확도가 높아지면 대체로 연산 처리 속도는 느려지기 마련인데, 저자들은 딥러닝 연산에 사용되는 NVIDIA cuDNN, Intel MKL 등의 library가 3x3 conv에 굉장히 최적화되어있다는 점에 주목하여 그림 C와 같이 3x3 연산만 거쳐서 inference를 합니다.
여기서 발생하는 Train - Test 의 모델의 불일치를 완화시키기 위해 structural re-parameterization 이라는 기법을 적용합니다. 자세한 내용은 첨부드린 그림과 논문을 참고하시면 좋을 것 같습니다.
실험 결과 ResNet 계열보다 더 적은 Parameter 수로 더 높은 정확도와 더 빠른 처리속도를 달성할 수 있었고, SOTA 방법론인 EfficientNet, RegNet과도 견줄만한 accuracy-speed trade-off 그래프를 얻을 수 있었다고 합니다.
7년전 제안된 VGG가 2021년에 다시 나타날 줄은 상상도 못했는데 정말 세상엔 재미있는 연구들이 많은 것 같네요! 읽어주셔서 감사합니다.

Posted by uniqueone
,

안녕하세요. Tensorflow KR. 자연어처리 리뷰모임 [집현전]의 운영자 고현웅이라고 합니다. 이번 12월 한 달 동안 집현전에서 만든 자연어처리 논문 리뷰 비디오 8편 (초급반 4편, 중급반 4편) 을 공유하기 위해 글을 작성하였습니다. 관심 있으신 분들은 아래 설명과 영상을 참고하시면 좋을 것 같습니다!


[집현전 Links]
집현전 Github : https://github.com/jiphyeonjeon/nlp-review
집현전 초급반 Youtube : https://www.youtube.com/playlist?list=PLsXisDblbLJ_UaUPi0iThUQKgSbhIk5ho
집현전 중급반 Youtube : https://www.youtube.com/playlist?list=PLsXisDblbLJ8msozFyA8o2zf3zfbORHWd

[초급반 12월 발표]
1. 송석리 - Long Short Term Memory
https://youtu.be/HHKSCkPEQfw

자연어처리에 대표적으로 사용되는 시퀀스 처리 모델인 LSTM에 대해 리뷰합니다. LSTM을 알아보기 이전에 RNN에 대해 알아보고, LSTM의 각종 게이트의 역할, 그리고 실험 결과를 깔끔한 일러스트와 함께 설명합니다.
2. 이영빈 - Word2Vec
https://youtu.be/o-2kfiZP7Z8

워드 임베딩 모델인 Word2Vec에 대해 논의합니다. 특히 Skip-gram (주변 단어 예측) 과 CBOW (중심단어 예측) 등의 방식에 특성에 대해 논의하고 Word Analogy 등의 태스크에서 성능을 비교하였습니다.
3. 이기창 - FastText
https://youtu.be/7pDB9zqwxhs

Word2Vec을 개선한 FastText 임베딩에 대해 논의합니다. OOV 문제를 완화하기 위해 도입된 서브워드 임베딩의 개념에 대해 이야기하고 실험 성능을 비교합니다. 특히 Semantic 영역의 성능과 Syntactic 영역의 성능을 비교하여 평가합니다.
4. 허치영 - Neural Probabilistic Language Model (NPLM)
https://youtu.be/EWMNCTpfsLI

뉴럴 기반의 언어모델의 시초 격인 NPLM에 대해 리뷰합니다. NPLM의 학습 오브젝티브를 자세한 수식으로 알아보고 NPLM이 Long term dependency에 효과적인 이유에 대해 논의하고 실험 성능을 비교합니다.

[중급반 12월 발표]
1. 진명훈 - If Beam Search is the Answer, What was the Question?
https://youtu.be/KJClfF_nJj0

디코딩 전략 중 한가지인 빔서치에 대해 논의합니다. 빔 사이즈를 최대로 높히는 것과 동일한 MAP 생성이 실제로는 잘 안되는 문제를 지적하며 빔서치가 좋은 문장을 생성해내는 이유를 인지심리학적인 요인을 통해 분석합니다. 추가로 UID 디코딩이라는 새로운 기법에 대해서도 논의합니다.
2. 박동주 - SSMBA : Self Supervised Manifold Based Data Augmentation for Improving Out of Domain Robustness
https://youtu.be/1IwHZ_4uPK0

Vicinal Risk Minimization의 일환으로 BERT의 MLM을 활용한 Data Augmentation 기법에 대해 논의합니다. Machine Translation, NLI, Sentiment Analysis 등의 Downstram Task에서 실험을 진행하였으며, 특히 In domain과 Out of domain 세팅에서의 성능을 비교합니다.
3. 고현웅 - Machine Translation Survey
1편 : https://youtu.be/KQfvEg-fGMw
2편 : https://youtu.be/18iH6VX-IU4

총 4시간에 걸쳐서 Seq2Seq부터 최신 연구(mBART, M2M-100, M2 등...)까지 23편의 논문을 참고하여 신경망 기계 번역의 역사와 최신 연구 동향에 대해 논의합니다. Background, Dataset, Efficiency, Training, Architecture 등에 대해 논의를 진행하고 성능, 서비스, 앞으로의 방향성에 대해 디스커션을 진행합니다.

Posted by uniqueone
,

텐서플로우 입문 강의를 두 개 제작하여 머신러닝 야학에 공개했는데요.
열심히 만들었는데... TensorFlow KR 그룹에 공유해봅니다. :)

표 형태의 데이터로 지도학습의 회귀와 분류를 경험하는 강의입니다.
텐서플로우를 이용하여 딥러닝 모델을 구현하고, 딥러닝의 기본적인 개념을 배웁니다.
Tensorflow 101: https://www.youtube.com/watch?v=auCw6qikSYs&list=PLl1irxoYh2wyLwJutUZx5Q_QEEDZoXBnz

이미지로 분류 모델인 CNN을 만들어보는 강의입니다.
텐서플로우를 이용하여 CNN 모델을 구현하고, CNN의 기본적인 개념을 배웁니다.
Tensorflow 102: https://www.youtube.com/watch?v=MMEoEJIXd7E&list=PLl1irxoYh2wzOOU9hvJqMYc215wAlxrpp

코딩 없이 인공지능을 경험해보고 싶은 분은 머신러닝 1 수업을 추천합니다.
https://opentutorials.org/course/4548
이 수업은 13개의 동영상으로 이루어진 2시간 분량의 수업입니다.

자세한 내용과 참가신청은 머신러닝 야학 홈페이지를 참고해주세요.
https://ml.yah.ac/

Posted by uniqueone
,

새해부터 데이터셋 Bomb이 터졌네요. Eleuther AI 에서 공개적으로 수집 및 훈련에 사용이 가능한 영어 텍스트 825GB 코퍼스 Pile을 공개하였습니다.

저자진은 다양한 토픽으로 구성된 코퍼스로 언어 모델을 학습시켰을 때, 다운스트림 태스크에서 일반화가 잘 된다는 최근 연구 결과들을 따라 다양한 주제의 코퍼스를 모으기 위해 특히 신경을 많이 썼다고 합니다.

이외에도 코퍼스에서 등장하는 인종별, 성별 바이어스 등에 대한 분석, 경멸적 표현들에 대한 분석도 굉장히 Time-consuming 하지만 수행을 했다고 하네요 👍

또한 GPT-2 사이즈의 모델을 자신들이 공개한 Pile에 대해 학습시켰을 때, CC-100 (영어)에 대해 학습된 모델보다 여러 도메인에서 좋은 성능을 보이는 것까지 실험을 통해 확인하였습니다.

커뮤니티에서는 GPT-X의 democratize를 위한 첫 번째 움직임이라며, 굉장히 많은 호응을 얻고 있습니다 🤭

link: https://pile.eleuther.ai/

Posted by uniqueone
,

안녕하세요. 제 깃헙에 아래 첨부한 사진에 나오는 모델들을 개인 공부 차원으로 구현해 보았으니 필요하신 분들은 편하게 가져가세요~~~~

PS : Multi-Head Attention 기능도 포함 되어 있습니다.!
https://github.com/jk96491/Advanced_Models

jk96491/Advanced_Models

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등). Contribute to jk96491/Advanced_Models development by creating an account on GitHub.

github.com

러가지 유명한 신경망 모델들을 제공합니다.
제공 모델들 : DCGAN, CGAN, SA-GAN ,GAN, Resnet, VAE, Multi-Head Attention, GPT-2

Posted by uniqueone
,

안녕하세요 Tensorflow KR.

이번에 제가 하고있는 논문스터디에서 기계번역 서베이를 준비하면서 자연어처리 백그라운드(Seq2Seq 부터 BERT까지)에 대한 내용을 함께 준비 해봤는데요. NLP 전반적으로 폭넓게 다루고 있는 영상이라 자연어처리 공부를 시작한지 얼마 안되신 분들이라면 도움 되실분들이 있을 것 같아서 여기에도 업로드 해봅니다.

영상에서 "왜?" 라는 질문을 많이 포함하고 있어서(왜 multihead? 왜 layer norm? 왜 pos embeddimg? 등..) 어텐션이나, Tranaformer 등에 대해 대략적으로만 알고 뭔가 와닿지는 않는 그런 분들이 들으시면 아마 도움이 더 많이 되시지 않을까 생각합니다.(백그라운드만 1시간 발표라, 배보다 배꼽이 더 커져서 결국 발표를 두번이나 했네요ㅋㅋㅋㅋㅠ)

참고로 집현전 추가 모집 문의가 정말 많이 왔는데요. 현재로서는 일정이나 깃헙, 영상등 관리하는게 빠듯해서 당장은 어려울 것 같구요. 시즌1을 성공적으로 마치게 되면 (모든분들이 한번씩 발표하고나서) 새 인원모집에 대해 다시 공지를 드리려고 합니다. 집현전 영상의 경우는 매달 저희가 읽은 논문과 자료들을 TFKR에 제가 정리해서 업로드 해드리겠습니다! 감사합니다~https://m.youtube.com/watch?v=KQfvEg-fGMw&feature=youtu.be

Posted by uniqueone
,

대규모 한국어 텍스트 데이터로 학습한 pre-training 언어 모델을 공개합니다!!​

블로그, 리뷰, 댓글과 같이 사람들이 직접 사용하는 텍스트를 수집하고 전처리하여 얻은 70Gb의 데이터로 Bert, Albert, Electra의 base 모델을 학습하였습니다. Pre-release버전을 공개하며 내년 초 더 많은 모델을 공개할 예정입니다.​
Huggingface를 통해 사용할 수 있으며, fine-tuning시 기존에 공개된 모델에 버금가거나 더 나은 성능을 보여주고 있습니다.​

이번 모델은 제가 프로젝트를 진행하다 공개하게 되었습니다. ​
텍스트, 이미지, 음성등의 인공지능을 활용해 다양한 비즈니스모델을 단기간 테스트하고 평가하며 좋은 서비스를 찾아가는 조직을 구성하고 있으니 관심 있으신 분들은 연락주십시오.​

자세한 사항은 아래 Github을 참고해주세요. 감사합니다!
https://github.com/kiyoungkim1/LM-kor

Posted by uniqueone
,

안녕하세요, TensorFlow KR 여러분!

생성 모델(Generative Model)은 실제로는 존재하지 않지만, 있을법한 데이터를 만들 수 있는 모델을 의미합니다. 오늘은 현대 딥러닝 기반의 생성 모델에 큰 영향을 끼친 논문인 GAN(NIPS 2014)을 소개합니다. GAN은 특히 이미지 도메인에서의 많은 발전이 이루어져 특정한 도메인의 이미지(사람의 얼굴, 동물의 형체 등)를 생성하거나 수정하는 작업을 수월하게 만들어주고 있습니다.

사실 GAN은 나온 지 오래되어 너무 잘 알려진 논문이며 아이디어는 참 직관적이지만, 증명적인 내용은 딥러닝 입문자가 처음 읽기에는 난이도가 높다고 생각합니다. 고등학교 때 문과였던 저를 포함해 많은 개발자분에게는 논문에 적힌 수식을 이해하기가 어렵고, 고등학교 때 어렴풋이 배웠던 확률 분포 개념부터 헷갈려 헤맬 수 있습니다.

본 영상에서는 GAN 아이디어 및 수식에 대한 내용 요약, PyTorch로 MNIST 이미지 생성해보는 실습, NIPS 2014에 업로드된 GAN 논문 원서를 함께 읽어보는 내용을 한꺼번에 포함하고 있습니다. 생성 모델 쪽을 처음 공부하시는 분들에게 도움이 되었으면 좋겠습니다.

영상 링크:

Posted by uniqueone
,

안녕하세요.

한국어 문장 분리기로 많은 사랑을 받고 있는 Korean Sentence Splitter(KSS)의 새로운 소식을 어디다 남길까 고민 하다가 이 그룹에서 가장 많은 분들이 사용하고 계셔서 여기에 남겨봅니다 ^^

작년 즈음에 카카오에서 사용해오던 한국어 문장 분리기에 착안해 C++로 한국어 문장 분리기를 새롭게 만들었고, 오픈소스로 공개하여 좋은 반응을 얻은 바 있습니다. 그러나 지속적인 문의나 요청 사항에는 거의 대응을 하지 못했고, 결정적으로 저 또한 전혀 다른 프로젝트를 맡게 되어 더 이상 유지보수를 할 수가 없었는데요. 특히 C++로 구현하다 보니 빌드 문의가 정말 많았고, 원래는 Windows, Mac, Linux 각 OS별로 빌드하여 바이너리를 업로드하여 배포하도록 권장하고 있는데, 상용 프로젝트도 아니고 그렇게 까지 관리할 수는 없었습니다.

결정적으로 문장 분리 자체가 엄청난 고성능을 요구해서 꼭 C++로 작성해야 하는건 아니었기에 빌드의 번거로움과 개발 유지보수를 감안하면 이제 다른 언어로 바꾸는게 좋겠다고 생각하던 차, 마침 고현웅님께서 파이썬으로 모두 포팅해주셨고, 또 꾸준히 개선해 나가는 모습을 보면서 이제는 프로젝트를 넘겨줄때가 됐음을 깨달았습니다.

제가 올 초에 1.3.1까지 올렸었고, 오늘부터 고현웅님이 만드신 파이썬 포팅 버전으로 2.0.0이 시작됩니다. 그동안 저에게 들어와있던, 제가 처리하지 못했던 모든 이슈와 PR이 반영된 최종 개선 버전이고, 아마 앞으로도 잘 개선해주시리라 기대가 큽니다.

팩키지 설치는 기존과 동일하게 `pip install kss`로 가능하며, 버그나 개선과 관련한 이슈는 새로운 레포인 https://github.com/hyunwoongko/kss 에 올려주시면 됩니다.

앞으로도 많은 응원 부탁드립니다.
감사합니다.

Posted by uniqueone
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Lectures for UC Berkeley CS 285: Deep Reinforcement Learning
Playlist : https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
H / T : Sergey Levine
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

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Deep Learning in Life Sciences
by Massachusetts Institute of Technology (MIT)

Course Site: https://mit6874.github.io/

Lecture Videos: https://youtube.com/playlist?list=PLypiXJdtIca5ElZMWHl4HMeyle2AzUgVB

We will explore both conventional and deep learning approaches to key problems in the life sciences, comparing and contrasting their power and limits. Our aim is to enable you to evaluate a wide variety of solutions to key problems you will face in this rapidly developing field, and enable you to execute on new enabling solutions that can have large impact.
As part of the subject you will become an expert in using modern cloud resources to implement your solutions to challenging problems, first in problem sets that span a carefully chosen set of tasks, and then in an independent project.
You will be programming using Python 3 and TensorFlow 2 in Jupyter Notebooks on the Google Cloud, a nod to the importance of carefully documenting your work so it can be precisely reproduced by others.

#artificialintelligence #deeplearning #tensorflow #python #biology #lifescience

Posted by uniqueone
,

pycharm에서 from graphviz import Source에서 'ModuleNotFoundError: No module named 'graphviz' 이런 에러가 났다. 

'conda install graphviz'라고 실행해서 설치해도 pycharm에서 인식을 못했다. 구글 검색해보니 stackoverflow.com/questions/49308693/why-cant-i-import-graphviz 에서 pip로 하면 될 수 있다고 해서 

'pip install graphviz'라고 실행해서 설치하니 pycharm에서 인식했다.

핸즈온 머신러닝2판 에서 "옮긴이_ 아나콘다 배포판 이용자는 'conda install python-graphviz' 명령으로 파이썬 패키지와 함께 graphviz를 설치하여 주피터 노트북에서 트리 그래프를 직접 그릴 수 있습니다."라고 한다. 'conda install python-graphviz'라고 했어도 해결됐을지도 모르겠다. 

Posted by uniqueone
,

안녕하세요. Tensorflow KR.

얼마전에 SKT에서 한국어 Seq2Seq 사전학습 모델인 KoBart를 공개하였는데요. 이를 git clone 없이 편리하게 사용할 수 있도록 huggingface transformers에 포팅하게 되어서 글을 작성합니다. `pip install kobart-transformers`로 쉽게 설치할 수 있으며, 기타 사용법은 아래 레포에서 확인할 수 있습니다. 감사합니다.


github.com/hyunwoongko/kobart-transformers?fbclid=IwAR1SRkBBe-SKGipBrjJBqMIUs8s7YKaOe8Q8eA3Q8yzJPFwbjokbOlbBiHs

Posted by uniqueone
,

안녕하세요 딥러닝 논문읽기 모임 입니다!

논문 발표자료 : https://www2.slideshare.net/taeseonryu/explaining-knowledge-distillation
지금까지 업데이트 된 논문 리뷰 영상 : https://github.com/Lilcob/-DL_PaperReadingMeeting
딥논읽 채널 : https://www.youtube.com/channel/UCDULrK2OJsiDhFroa2Aj_LQ?view_as=subscriber

오늘 업데이트된 따끈따근한 논문 리뷰 영상은
'Explaining Knowledge Distillation by Quantifying the Knowledge'
라는 제목의 논문입니다 해당논문은 2020 cvpr에서 프로시딩된 논문입니다!
해당논문은 DNN의 인풋 이후 메인 태스크와 관련이 있는 이미지와 관련이 없는 이미지의 feature를 찾아내어 시각적으로 정량화하고 분석하여 knowledge distillation을 성공적으로 수행하는방법을 제시합니다! 또한 해당논문은 세가지의 가설을 제시하여 논문의 메소드에대한 설명을 보다 탄탄하게 뒷받침 하는대요,
펀디멘탈팀의 김동희님이 자세한 논문 리뷰를 도와주셨습니다!
오늘도 많은 관심 감사드립니다!
https://youtu.be/3q3iHhgKOY0

Posted by uniqueone
,

6 free, high-quality Udemy courses for you today:

Python
https://www.udemy.com/course/python-comprehensive-bootcamp-beginner-to-professional/?ranMID=39197&ranEAID=WIRXHBzeZwo&ranSiteID=WIRXHBzeZwo-NFnZtLOHl0lU6RYjRtpMdA&LSNPUBID=WIRXHBzeZwo&utm_source=aff-campaign&utm_medium=udemyads&couponCode=25D2E97D660C1C362067

Deep Learning - Python & R
https://www.udemy.com/course/deep-learning-with-keras-and-tensorflow-in-python-and-r/?ranMID=39197&ranEAID=WIRXHBzeZwo&ranSiteID=WIRXHBzeZwo-NFnZtLOHl0lU6RYjRtpMdA&LSNPUBID=WIRXHBzeZwo&utm_source=aff-campaign&utm_medium=udemyads&couponCode=DECOUP20

Data viz in Excel
https://www.udemy.com/course/data-visualization-in-excel-for-business-professionals/?ranMID=39197&ranEAID=WIRXHBzeZwo&ranSiteID=WIRXHBzeZwo-NFnZtLOHl0lU6RYjRtpMdA&LSNPUBID=WIRXHBzeZwo&utm_source=aff-campaign&utm_medium=udemyads&couponCode=DECOUP20

Statistics/Probability
https://www.udemy.com/course/probability-and-statistics-1-the-complete-guide/?ranMID=39197&ranEAID=WIRXHBzeZwo&ranSiteID=WIRXHBzeZwo-NFnZtLOHl0lU6RYjRtpMdA&LSNPUBID=WIRXHBzeZwo&utm_source=aff-campaign&utm_medium=udemyads&couponCode=6F666FD4D86872974BA9

R
https://www.udemy.com/course/data-manipulation-with-dplyr-in-r/?ranMID=39197&ranEAID=WIRXHBzeZwo&ranSiteID=WIRXHBzeZwo-NFnZtLOHl0lU6RYjRtpMdA&LSNPUBID=WIRXHBzeZwo&utm_source=aff-campaign&utm_medium=udemyads&couponCode=MATURITY

mySQL
https://www.udemy.com/course/the-complete-sql-course-2020-become-a-mysql-master/?couponCode=SQLCOURSE29

Posted by uniqueone
,

phi(z) = 1 / (1 + e^-(alpha + beta*z)) 일 때 다양한 alpha, beta에 따른 logistic function plot.

 

 

 

 

 

import matplotlib.pyplot as plt
import numpy as np

def sigmoid1(x, alpha, beta):
    return 1.0 / (1.0 + np.exp(-(alpha + beta*x)))
z = np.arange(-7, 7, 0.1)
# phi_z = sigmoid1(alpha=3, beta=2, z)
c0 = [sigmoid1(x, alpha=0, beta=1) for x in z]
plt.plot(z, c0, label='alpha=0, beta=1', linestyle='--')
c1 = [sigmoid1(x, alpha=1, beta=1) for x in z]
plt.plot(z, c1, label='alpha=1, beta=1')
c2 = [sigmoid1(x, alpha=1, beta=2) for x in z]
plt.plot(z, c2, label='alpha=1, beta=2')
c3 = [sigmoid1(x, alpha=0, beta=2) for x in z]
plt.plot(z, c3, label='alpha=0, beta=2')
plt.axvline(0.0, color='k')
plt.ylim(-0.1, 1.1)
plt.xlabel('z')
plt.ylabel('$\phi (z)$')
# y축의 눈금과 격자선
plt.yticks([0.0, 0.5, 1.0])
ax = plt.gca()
ax.yaxis.grid(True)
plt.legend(loc='best')
plt.tight_layout()
plt.show()
Posted by uniqueone
,

Cheat sheet for python Neural network Machine Learning Data Science for newbies ALL PDF.https://bit.ly/394jjDH

Posted by uniqueone
,

lsjsj92.tistory.com/529

 

python 주피터 노트북(jupyter notebook) 색상 및 테마 변경하기

아마 개발자 분들은 하루종일 컴퓨터 앞에 앉아 있어서 IDE 툴들의 색상을 어둡게 하시는 분들이 많을겁니다. 하얀색 화면은 눈이 너무 아프거든요 (저만 그런가요..) 특히 파이썬은 IDE 툴로 pychar

lsjsj92.tistory.com

 

 

 

 

 

 

 

 

 

Posted by uniqueone
,

How can we improve coding skill??

https://www.facebook.com/groups/AnalyticsEdge/permalink/2810677495813871/

Practice one hour every day..Read documentation.

Posted by uniqueone
,

Top 13 YouTube Channels to Learn Data Science


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Top 13 YouTube Channels to Learn Data Science

Informative channels on YouTube to gain access to tons of informative videos on Data Science



Claire D. Costa

Nov 9·12 min read





Photo by freestocks.org from Pexels

Data science is the discipline of making data useful.

YouTube doesn’t need much of an introduction, and we’re sure you all know how much of a popular platform it is among people of all age groups. YouTube is not just a vast repository of entertainment, but it is also an equally important source of education. Undeniably the best thing about learning from YouTube is the lack of any fee or charges for getting access to that vast repertoire of educational videos.
Data Science and many other domains like it can seem daunting at first, but with YouTube, you can get easy access to a plethora of educational and instructional videos on a wealth of topics, including Data Science. The goal behind this write-up is to introduce you to a range of informative channels on YouTube that demystify the complex concepts of Data Science so that you can learn at your own pace. But before digging into this, check out
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Top Data Science YouTube Channels

The domain of Data Science brings with itself a variety of scientific tools, processes, algorithms, and knowledge extraction systems from structured and unstructured data alike, for identifying meaningful patterns in it.

Everybody loves YouTube, right? But wouldn’t it be fun to gain access to literally thousands of informative videos on Data Science, covering not just the basics but also the latest happenings in the domain?
In the age of Massive Online Open Courses(MOOCs), YouTube serves as a powerful platform to find answers to your questions, which otherwise would not have made it to the course video. All that while helping you save some money.
We’re guessing by now you’re pretty hyped to know about the channels, fair enough, let’s not waste any more time and move on to the list of YouTube channels focused on Data Science.

1. 3Blue1Brown





Source: 3Blue1Brown

Since: Mar 4, 2015

Creator: Grant Sanderson

Views: 165,573,366

Subscribers: 3.22M

Youtube Link: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw

3Blue1Brown is a fairly enjoyable channel created by Grant Sanderson in March 2015 that primarily focuses on teaching math in an entertaining way.
You might be wondering why we included this channel in our list. Well, there are two reasons for that. First, he addresses a multitude of topics on his channel that are related to the Data Science domain. Some of these topics include Neural Networks, Linear Algebra, Fourier Transformations, Calculus, and many others.
Second, the amazing visualizations you see in his videos have been created by an animation engine in Python called manim, which Grant created by himself. The channel 3Blue1Brown has over 100 uploads with a total of 165 million views.
Throughout his channel, you’ll realize how much of an important role the visualizations play in Grant’s videos and how beautifully the manim library can be utilized to create some slick visuals.

2. freeCodeCamp.org





Source: freeCodeCamp.org

Since: Dec 17, 2014

Creator: Quincy Larson

Views: 127,751,078

Subscribers: 2.72M

Youtube Link: https://www.youtube.com/c/Freecodecamp/featured

Website: https://www.freecodecamp.org/

Created by Quincy Larson in December 2014freeCodeCamp is a non-profit organization with a mission to empower people to code and help others. freeCodeCamp is more of a course-oriented channel run by a highly knowledgeable group of people with a strong background in programming. Their YouTube channel offers informative videos on a wide range of topics, such as Data Structures, JavaScript, Python, Data Science, Machine Learning, Node.js, and has upwards of 127 million total views so far.
freeCodeCamp’s channel has over 1100 videos, and a decent chunk of them are full-on courses with over an hour of content and code sessions at the very least. You can also visit their website to get your hands on more than 6000 tutorials on programming and ethical hacking.

3. Sentdex





Source: Sentdex

Since: Dec 17, 2012

Creator: Harrison Kinsley

Views: 87,960,317

Subscribers: 974K

Youtube Link: https://www.youtube.com/c/sentdex/features

Website: https://pythonprogramming.net/

Created by Harrison Kinsley in December 2012, Sentdex covers several programming topics and technologies such as Machine LearningNatural Language ProcessingData Analysis and Visualization, and some Robotics projects with Raspberry Pi projects.
Harrison’s clear and explanatory style of simplifying the various topics puts Sentdex among the best Data Science channels on YouTube. The channel has over 1200 videos and more than 87 million views. Harrison’s love for Python can be seen on his channel, as he has covered a multitude of programming topics in Python.
He also runs a website called Python Programming Tutorials, where you can find a healthy collection of Python projects in a very detailed manner and see how things work. If you’re interested in a more advanced topic, say, Neural Networks, Harrison has written a book on it called “Neural Networks from Scratch in Python”.
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4. Corey Schafer





Source: Corey Schafer

Since: Jun 1, 2006

Creator: Corey Schafer

Views: 47,336,678

Subscribers: 661K

Youtube: https://www.youtube.com/c/Coreyms/featured

Website: http://coreyms.com/

Corey Schafer’s YouTube channel revolves mainly around programming tools that are vital for modern programmers and researchers, including the fundamental concepts of programming. The videos on Corey’s channel have garnered over 47 million views and counting. The channel has covered a range of topics, such as the basics of programming, Linux tutorials, SQL tutorialsDjango, and much more.
For individuals interested in Data Science, Corey has got you covered with video playlists on topics like PandasMatplotlib, and a series of videos on getting started Python. Whether you’re a veteran in programming in a professional environment or a beginner learning about the technology, Corey has offered educational content keeping everyone’s skill level in mind.

5. Tech With Tim





Source: Tech With Tim

Since: Apr 23, 2014

Creator: Tim Ruscica

Views: 32,827,834

Subscribers: 466K

Youtube Link: https://www.youtube.com/c/TechWithTim/featured

Website: https://www.techwithtim.net/

Started by Tim Ruscica in April 2014, the videos on Tim’s channel are more focused on Python programming in general with some game development using PyGamesome tutorials on Machine Learning, and JavaScript paired with a few frameworks. With over 32 million total views, Tim’s channel has some cool projects on a couple of topics, such as a Flappy Bird game, a Face Recognition tool, a Slack bot, and more.
Tim has also done a handful of long coding live streams ranging anywhere from a manageable period of 2 hours to more grueling 12-hour sessions. You will also find some crucial tips and advice on his channel for new developers as well as some programming project ideas, along with some beginner-friendly tutorials on Golang and Flutter. If you like the projects on Tim’s channel, you can find the code on his GitHub repo to follow through with some of his videos.

6. Python Programmer





Source: Giles McMullen

Since: Aug 16, 2008

Creator: Giles McMullen

Views: 7,440,604

Subscribers: 229K

Youtube Link: https://www.youtube.com/c/FlickThrough/featured

Giles McMullen created this channel in August 2008 to inspire the world about Python and to show his love for the programming language, hence the name Python Programmer. Throughout the years, Giles covered loads of tutorials on his channel for various topics ranging from the more fundamental ones for beginners like the basics of Python programming to more advanced topics, like Data Science and Machine Learning.
You can find a few free courses on Giles’ channel for Data Science and Machine Learning, which can essentially give you a strong idea about the core concepts in these subjects. Apart from covering educational topics, Giles also has videos about popular Python libraries, such as Pandas, NumPyScikit-learn, and some handy tips to programmers of all skills on the hows and whats of Python or just programming in general.

7. StatQuest With Josh Starmer





Source: StatQuest

Since: May 24, 2011

Views: 17,551,985

Subscribers: 371K

Youtube Link: https://www.youtube.com/c/joshstarmer/featured

Website: https://statquest.org/

What started as mere explanations about the complex statistical techniques to colleagues at work soon turned into Josh’s passion and later into StatQuest. StatQuest takes away the challenges people usually face in understanding those complicated terms and methods that modern statistics and Machine Learning is filled with.
Created by Josh Starmer in May 2011, StatQuest has more than 180 videos with a combined total of 17 million views. In the channel, you will find a handful of playlists explaining the various fundamental concepts like Logistic Regression, Linear Regression, Linear Models. You can also visit StatQuest’s website to find study guides filled with detailed information for a better understanding of sub-topics like AdaBoost, Classification Trees, and a few others.

8. Krish Naik






Posted by uniqueone
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https://youtu.be/MMQjmeTmoxQ 

최재식 교수님께서 설명가능한 AI(딥러닝)에 관한 여러 모델을 알기 쉽게 말씀해 주셨습니다.


Posted by uniqueone
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www.programcreek.com/python/example/98358/youtube_dl.YoutubeDL

 

 

Python youtube_dl.YoutubeDL() Examples

The following are 30 code examples for showing how to use youtube_dl.YoutubeDL(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

You may check out the related API usage on the sidebar.

You may also want to check out all available functions/classes of the module youtube_dl , or try the search function 

 .

Example 1

Project: JJMumbleBot   Author: DuckBoss   File: sound_board_utility.py    License: GNU General Public License v3.0 9 votes  

def download_clip(url, name): ydl_opts = { 'format': 'bestaudio/best', 'outtmpl': dir_utils.get_perm_med_dir() + f'/sound_board/{name}.wav', 'noplaylist': True, 'continue_dl': True, 'postprocessors': [{ 'key': 'FFmpegExtractAudio', 'preferredcodec': 'wav', 'preferredquality': '192', }] } try: with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.cache.remove() info_dict = ydl.extract_info(url, download=False) ydl.prepare_filename(info_dict) ydl.download([url]) return True except Exception: return False

 

Example 2

Project: facebook-scraper   Author: kevinzg   File: extractors.py    License: MIT License 7 votes  

def extract_video_highres(self): if not YoutubeDL: raise ModuleNotFoundError( "youtube-dl must be installed to download videos in high resolution." ) ydl_opts = { 'format': 'best', 'quiet': True, } try: post_id = self.post.get('post_id') video_page = 'https://www.facebook.com/' + post_id with YoutubeDL(ydl_opts) as ydl: url = ydl.extract_info(video_page, download=False)['url'] return {'video': url} except ExtractorError as ex: logger.error("Error extracting video with youtube-dl: %r", ex) return None

 

Example 3

Project: JJMumbleBot   Author: DuckBoss   File: youtube_helper.py    License: GNU General Public License v3.0 6 votes  

def download_song_name(url): try: with youtube_dl.YoutubeDL(YoutubeHelper.ydl_opts) as ydl: ydl.cache.remove() info_dict = ydl.extract_info(url, download=True) if info_dict['duration'] >= YoutubeHelper.max_track_duration: return None if info_dict['duration'] <= 0.1: return None prep_struct = { 'std_url': url, 'main_url': info_dict['url'], 'main_title': info_dict['title'], 'img_id': info_dict['id'], 'duration': info_dict['duration'] } return prep_struct except youtube_dl.utils.DownloadError: return None

 

Example 4

Project: JJMumbleBot   Author: DuckBoss   File: youtube_helper.py    License: GNU General Public License v3.0 6 votes  

def download_next(): queue_list = list(YoutubeHelper.queue_instance.queue_storage) if len(queue_list) > 0: youtube_url = queue_list[-1]['std_url'] else: return if os.path.exists(f"{dir_utils.get_temp_med_dir()}/youtube/{queue_list[-1]['img_id']}.jpg"): dprint(f"Thumbnail exists for {queue_list[-1]['img_id']}.jpg...skipping") return try: with youtube_dl.YoutubeDL(YoutubeHelper.ydl_opts) as ydl: ydl.cache.remove() ydl.extract_info(youtube_url, download=True) except youtube_dl.utils.DownloadError as e: dprint(e) return return

Example 5

Project: raveberry   Author: raveberry   File: test_youtube.py    License: GNU Lesser General Public License v3.0 6 votes  

def setUp(self): super().setUp() try: # try to find out whether youtube is happy with us this time # send a request and skip the test if there is an error ydl_opts = Youtube.get_ydl_opts() ydl_opts["logger"] = YoutubeDLLogger(self) with youtube_dl.YoutubeDL(ydl_opts) as ydl: self.info_dict = ydl.download( ["https://www.youtube.com/watch?v=wobbf3lb2nk"] ) except (youtube_dl.utils.ExtractorError, youtube_dl.utils.DownloadError) as e: self.skipTest(f"Error when interacting with youtube, skipping test: {e}") # reduce the number for youtube playlists self.client.post(reverse("set_max_playlist_items"), {"value": "3"}) # clear test cache; ensure that it's the test directory if os.path.split(os.path.dirname(settings.SONGS_CACHE_DIR))[1] == "test_cache": for member in os.listdir(settings.SONGS_CACHE_DIR): member_path = os.path.join(settings.SONGS_CACHE_DIR, member) if os.path.isfile(member_path): os.remove(member_path)

Example 6

Project: raveberry   Author: raveberry   File: youtube.py    License: GNU Lesser General Public License v3.0 6 votes  

def check_available(self) -> bool: try: with youtube_dl.YoutubeDL(self.ydl_opts) as ydl: self.info_dict = ydl.extract_info(self.query, download=False) except (youtube_dl.utils.ExtractorError, youtube_dl.utils.DownloadError) as e: self.error = e return False # this value is not an exact match, but it's a good approximation if "entries" in self.info_dict: self.info_dict = self.info_dict["entries"][0] self.id = self.info_dict["id"] size = self.info_dict["filesize"] max_size = self.musiq.base.settings.basic.max_download_size * 1024 * 1024 if ( max_size != 0 and self.check_cached() is None and (size is not None and size > max_size) ): self.error = "Song too long" return False return True

 

Example 7

Project: vidgear   Author: abhiTronix   File: test_camgear.py    License: Apache License 2.0 6 votes  

def return_youtubevideo_params(url): """ returns Youtube Video parameters(FPS, dimensions) directly using Youtube-dl """ ydl = youtube_dl.YoutubeDL( { "outtmpl": "%(id)s%(ext)s", "noplaylist": True, "quiet": True, "format": "bestvideo", } ) with ydl: result = ydl.extract_info( url, download=False ) # We just want to extract the info return (int(result["width"]), int(result["height"]), float(result["fps"]))

Example 8

Project: MusicTools   Author: kalbhor   File: musictools.py    License: MIT License 6 votes  

def download_song(song_url, song_title): """ Download a song using youtube url and song title """ outtmpl = song_title + '.%(ext)s' ydl_opts = { 'format': 'bestaudio/best', 'outtmpl': outtmpl, 'postprocessors': [ {'key': 'FFmpegExtractAudio','preferredcodec': 'mp3', 'preferredquality': '192', }, {'key': 'FFmpegMetadata'}, ], } with youtube_dl.YoutubeDL(ydl_opts) as ydl: info_dict = ydl.extract_info(song_url, download=True)

 

Example 9

Project: youtube-dl-GUI   Author: yasoob   File: Download.py    License: MIT License 6 votes  

def download(self): ydl_options = self._prepare_ytd_options() with youtube_dl.YoutubeDL(ydl_options) as ydl: ydl.add_default_info_extractors() ydl.add_progress_hook(self.hook) try: ydl.download([self.url]) except ( youtube_dl.utils.DownloadError, youtube_dl.utils.ContentTooShortError, youtube_dl.utils.ExtractorError, youtube_dl.utils.UnavailableVideoError ) as e: self.error_occurred = True self.remove_row_signal.emit() self.remove_url_signal.emit(self.url) self.status_bar_signal.emit(str(e))

Example 10

Project: MusicNow   Author: kalbhor   File: command_line.py    License: MIT License 6 votes  

def download_song(song_url, song_title): ''' Downloads song from youtube-dl ''' outtmpl = song_title + '.%(ext)s' ydl_opts = { 'format': 'bestaudio/best', 'outtmpl': outtmpl, 'postprocessors': [{ 'key': 'FFmpegExtractAudio', 'preferredcodec': 'mp3', 'preferredquality': '192', }, {'key': 'FFmpegMetadata'}, ], } with youtube_dl.YoutubeDL(ydl_opts) as ydl: info_dict = ydl.extract_info(song_url, download=True)

 

Example 11

Project: TG-UserBot   Author: TG-UserBot   File: yt_dl.py    License: GNU General Public License v3.0 6 votes  

def list_formats(info_dict: dict) -> str: """YoutubeDL's list_formats method but without format notes. Args: info_dict (``dict``): Dictionary which is returned by YoutubeDL's extract_info method. Returns: ``str``: All available formats in order as a string instead of stdout. """ formats = info_dict.get('formats', [info_dict]) table = [ [f['format_id'], f['ext'], youtube_dl.YoutubeDL.format_resolution(f)] for f in formats if f.get('preference') is None or f['preference'] >= -1000] if len(formats) > 1: table[-1][-1] += (' ' if table[-1][-1] else '') + '(best)' header_line = ['format code', 'extension', 'resolution'] fmtStr = ( '`Available formats for %s:`\n`%s`' % (info_dict['title'], youtube_dl.render_table(header_line, table)) ) return fmtStr

Example 12

Project: Liked-Saved-Image-Downloader   Author: makuto   File: videoDownloader.py    License: MIT License 6 votes  

def shouldUseYoutubeDl(url): for siteMask in youtubeDlSitesSupported: if siteMask in url: isBlacklisted = False for blacklistSite in youtubeDlBlacklistSites: if blacklistSite in url: isBlacklisted = True break # Use the gfycat api for these, if available # Ever since the creation of RedGifs, use YoutubeDL for all gfycat links... # if settings.settings['Gfycat_Client_id'] and 'gfycat.com' in url: # isBlacklisted = True if isBlacklisted: # We probably have another downloader return False # YoutubeDL should support this site return True return False # Returns (success or failure, output file or failure message)

 

Example 13

Project: apex-sigma-core   Author: lu-ci   File: music.py    License: GNU General Public License v3.0 6 votes  

def __init__(self, requester, item_info): """ :param requester: The user that queued the item. :type requester: discord.Member :param item_info: Document containing the queued item's details. :type item_info: dict """ self.requester = requester self.item_info = item_info self.url = self.item_info.get('webpage_url') self.video_id = self.item_info.get('id', self.url) self.uploader = self.item_info.get('uploader', 'Unknown') self.title = self.item_info.get('title') self.thumbnail = self.item_info.get('thumbnail', 'https://i.imgur.com/CGPNJDT.png') self.duration = int(self.item_info.get('duration', 0)) self.downloaded = False self.loop = asyncio.get_event_loop() self.threads = ThreadPoolExecutor() self.ytdl_params = ytdl_params self.ytdl = youtube_dl.YoutubeDL(self.ytdl_params) self.token = self.tokenize() self.location = None

Example 14

Project: botamusique   Author: azlux   File: url.py    License: MIT License 6 votes  

def _get_info_from_url(self): self.log.info("url: fetching metadata of url %s " % self.url) ydl_opts = { 'noplaylist': True } succeed = False with youtube_dl.YoutubeDL(ydl_opts) as ydl: attempts = var.config.getint('bot', 'download_attempts', fallback=2) for i in range(attempts): try: info = ydl.extract_info(self.url, download=False) self.duration = info['duration'] self.title = info['title'] self.keywords = info['title'] succeed = True return True except youtube_dl.utils.DownloadError: pass except KeyError: # info has no 'duration' break if not succeed: self.ready = 'failed' self.log.error("url: error while fetching info from the URL") raise ValidationFailedError(constants.strings('unable_download', item=self.format_title()))

Example 15

Project: TheaterTrailers   Author: Electronickss   File: theaterTrailers.py    License: GNU General Public License v3.0 6 votes  

def videoDownloader(string, passedTitle, yearVar): # Options for the video downloader ydl1_opts = { 'outtmpl': os.path.join(TheaterTrailersHome, 'Trailers', '{0} ({1})'.format(passedTitle, yearVar), '{0} ({1}).mp4'.format(passedTitle, yearVar)), 'ignoreerrors': True, 'format': 'bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best', } with youtube_dl.YoutubeDL(ydl1_opts) as ydl: logger.info("downloading {0} from {1}".format(passedTitle, string)) ydl.download([string]) shutil.copy2( os.path.join(trailerLocation, '{0} ({1})'.format(passedTitle, yearVar), '{0} ({1}).mp4'.format(passedTitle, yearVar)), os.path.join(trailerLocation, '{0} ({1})'.format(passedTitle, yearVar), '{0} ({1})-trailer.mp4'.format(passedTitle, yearVar)) ) shutil.copy2( os.path.join(TheaterTrailersHome, 'res', 'poster.jpg'), os.path.join(trailerLocation, '{0} ({1})'.format(passedTitle, yearVar)) ) updatePlex() # Downloads info for the videos from the playlist

Example 16

Project: youtube-dl-webui   Author: d0u9   File: worker.py    License: GNU General Public License v2.0 6 votes  

def run(self): self.intercept_ydl_opts() with YoutubeDL(self.ydl_opts) as ydl: try: if self.first_run: info_dict = ydl.extract_info(self.url, download=False) # self.logger.debug(json.dumps(info_dict, indent=4)) info_dict['description'] = info_dict['description'].replace('\n', '<br />'); payload = {'tid': self.tid, 'data': info_dict} self.msg_cli.put('info_dict', payload) self.logger.info('start downloading, url - %s' %(self.url)) ydl.download([self.url]) except DownloadError as e: # url error event_handler = FatalEvent(self.tid, self.msg_cli) event_handler.invalid_url(self.url); self.msg_cli.put('worker_done', {'tid': self.tid, 'data': {}})

Example 17

Project: BotHub   Author: mkaraniya   File: yt_dl.py    License: Apache License 2.0 6 votes  

def list_formats(info_dict: dict) -> str: """YoutubeDL's list_formats method but without format notes. Args: info_dict (``dict``): Dictionary which is returned by YoutubeDL's extract_info method. Returns: ``str``: All available formats in order as a string instead of stdout. """ formats = info_dict.get('formats', [info_dict]) table = [[ f['format_id'], f['ext'], youtube_dl.YoutubeDL.format_resolution(f) ] for f in formats if f.get('preference') is None or f['preference'] >= -1000] if len(formats) > 1: table[-1][-1] += (' ' if table[-1][-1] else '') + '(best)' header_line = ['format code', 'extension', 'resolution'] fmtStr = ( '`Available formats for %s:`\n`%s`' % (info_dict['title'], youtube_dl.render_table(header_line, table))) return fmtStr

Example 18

Project: gallery-dl   Author: mikf   File: ytdl.py    License: GNU General Public License v2.0 6 votes  

def __init__(self, job): DownloaderBase.__init__(self, job) extractor = job.extractor retries = self.config("retries", extractor._retries) options = { "format": self.config("format") or None, "ratelimit": text.parse_bytes(self.config("rate"), None), "retries": retries+1 if retries >= 0 else float("inf"), "socket_timeout": self.config("timeout", extractor._timeout), "nocheckcertificate": not self.config("verify", extractor._verify), "nopart": not self.part, "updatetime": self.config("mtime", True), "proxy": extractor.session.proxies.get("http"), } options.update(self.config("raw-options") or {}) if self.config("logging", True): options["logger"] = self.log self.forward_cookies = self.config("forward-cookies", False) outtmpl = self.config("outtmpl") self.outtmpl = DEFAULT_OUTTMPL if outtmpl == "default" else outtmpl self.ytdl = YoutubeDL(options)

Example 19

Project: lynda-video-downloader   Author: 22nds   File: download.py    License: GNU General Public License v3.0 6 votes  

def get_videos(url): """Download all videos in the course. """ # Lynda.com login and video filename options options = { 'username': USERNAME, 'password': PASSWORD, 'outtmpl': u'%(playlist_index)s-%(title)s.%(ext)s', 'writesubtitles': SUBTITLES, 'allsubtitles': SUBTITLES, 'download_archive': ARCHIVE, 'external_downloader': EXTERNAL_DL } try: with youtube_dl.YoutubeDL(options) as ydl: ydl.download([url]) except: print('Could not download the video in course: {}'.format(url))

Example 20

Project: playlistfromsong   Author: schollz   File: playlistfromsong.py    License: MIT License 6 votes  

def downloadURL(url, preferredCodec=None, preferredQuality=None): """ Downloads song using youtube_dl and the song's youtube url. """ codec, quality = getCodecAndQuality() ydl_opts = { 'format': 'bestaudio/best', 'quiet': True, 'no_warnings': True, 'postprocessors': [{ 'key': 'FFmpegExtractAudio', 'preferredcodec': codec, 'preferredquality': quality, }, {'key': 'FFmpegMetadata'}, ], } try: with YoutubeDL(ydl_opts) as ydl: return ydl.extract_info(url, download=True) except: print("Problem downloading " + url) return None

Example 21

Project: music-bot   Author: tafarelyan   File: bot.py    License: GNU General Public License v3.0 6 votes  

def download(title, video_url): ydl_opts = { 'outtmpl': '{}.%(ext)s'.format(title), 'format': 'bestaudio/best', 'postprocessors': [{ 'key': 'FFmpegExtractAudio', 'preferredcodec': 'mp3', 'preferredquality': '192', }], } with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.download([video_url]) return { 'audio': open(title + '.mp3', 'rb'), 'title': title, }

Example 22

Project: tubeup   Author: bibanon   File: test_tubeup.py    License: GNU General Public License v3.0 6 votes  

def test_create_basenames_from_ydl_info_dict_playlist(self): ydl = YoutubeDL() result = self.tu.create_basenames_from_ydl_info_dict( ydl, info_dict_playlist) expected_result = set([ 'Live Streaming Rafid Aslam-7gjgkH5iPaE', 'Live Streaming Rafid Aslam-q92kxPm-pqM', 'Cara Membuat Laptop Menjadi Hotspot WiFi Dengan CMD-YjFwMSDNphM', '[CSO] Defeat Boss in Dead End With Thanatos 7-EEm6MwXLse0', 'Cara Bermain Minecraft Multiplayer Dengan LAN-g2vTZ2ka-tM', 'Live Streaming Rafid Aslam-AXhuSS5_9YU', 'Cara Membuat Disk Baru di Komputer-KDOygJnK7Sw', 'Cara Mendownload Lewat Torrent-cC-9RghkvXs'] ) self.assertEqual(result, expected_result)

Example 23

Project: VK-Scraper   Author: vanyasem   File: app.py    License: GNU General Public License v3.0 6 votes  

def determine_max_video_res(item, save_dir): if 'files' in item: if 'mp4_1080' in item['files']: return item['files']['mp4_1080'] if 'mp4_720' in item['files']: return item['files']['mp4_720'] if 'mp4_480' in item['files']: return item['files']['mp4_480'] if 'mp4_360' in item['files']: return item['files']['mp4_360'] if 'mp4_240' in item['files']: return item['files']['mp4_240'] elif 'player' in item: # TODO: parse VK videos here to download user-owned private files ydl_opts = { 'outtmpl': save_dir + '/%(title)s.%(ext)s', 'noplaylist': True, 'logger': VkScraper.VideoLogger(), } with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.download([item['player']])

Example 24

Project: bulk-downloader-for-reddit   Author: aliparlakci   File: youtube.py    License: GNU General Public License v3.0 6 votes  

def download(self,filename,directory,url): ydl_opts = { "format": "best", "outtmpl": str(directory / (filename + ".%(ext)s")), "progress_hooks": [self._hook], "playlistend": 1, "nooverwrites": True, "quiet": True } with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.download([url]) location = directory/(filename+".mp4") if GLOBAL.arguments.no_dupes: try: fileHash = createHash(location) except FileNotFoundError: return None if fileHash in GLOBAL.downloadedPosts(): os.remove(location) raise FileAlreadyExistsError GLOBAL.downloadedPosts.add(fileHash)

Example 25

Project: video2commons   Author: toolforge   File: urlextract.py    License: GNU General Public License v3.0 5 votes  

def do_extract_url(url): """Extract a video url.""" params = { 'format': 'bestvideo+bestaudio/best', 'outtmpl': '/dev/null', 'writedescription': True, 'writeinfojson': True, 'writesubtitles': False, 'subtitlesformat': 'srt/ass/vtt/best', 'cachedir': '/tmp/', 'noplaylist': True, # not implemented in video2commons } info = youtube_dl.YoutubeDL(params).extract_info(url, download=False) assert 'formats' in info or info.get('direct'), \ 'Your url cannot be processed correctly' ie_key = info['extractor_key'] title = (info.get('title') or '').strip() url = info.get('webpage_url') or url filedesc = FILEDESC_TEMPLATE % { 'desc': _desc(url, ie_key, title, info), 'date': _date(url, ie_key, title, info), 'source': _source(url, ie_key, title, info), 'uploader': _uploader(url, ie_key, title, info), 'license': _license(url, ie_key, title, info) } return { 'url': url, 'extractor': ie_key, 'filedesc': filedesc.strip(), 'filename': sanitize(title) }

Example 26

Project: wuy   Author: manatlan   File: dlyt.py    License: GNU General Public License v2.0 5 votes  

def get(self,q): if "http" in q.lower(): u=q.strip() else: u='https://www.youtube.com/watch?v='+q y = yt.YoutubeDL() return y.extract_info(u, download=False)

Example 27

Project: JJMumbleBot   Author: DuckBoss   File: youtube_helper.py    License: GNU General Public License v3.0 5 votes  

def download_specific(index): queue_list = list(YoutubeHelper.queue_instance.queue_storage) if len(queue_list) > 0: youtube_url = queue_list[index]['std_url'] else: return if os.path.isfile(f"{dir_utils.get_temp_med_dir()}/youtube/{queue_list[index]['img_id']}.jpg"): return try: with youtube_dl.YoutubeDL(YoutubeHelper.ydl_opts) as ydl: ydl.extract_info(youtube_url, download=True) except youtube_dl.utils.DownloadError: return return

Example 28

Project: raveberry   Author: raveberry   File: youtube.py    License: GNU Lesser General Public License v3.0 5 votes  

def _download(self) -> bool: error = None location = None try: with youtube_dl.YoutubeDL(self.ydl_opts) as ydl: ydl.download([self.get_external_url()]) location = self._get_path() base = os.path.splitext(location)[0] thumbnail = base + ".jpg" try: os.remove(thumbnail) except FileNotFoundError: logging.info("tried to delete %s but does not exist", thumbnail) try: # tag the file with replaygain to perform volume normalization subprocess.call( ["rganalysis", location], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) except OSError as e: if e.errno == errno.ENOENT: pass # the rganalysis package was not found. Skip normalization else: raise except youtube_dl.utils.DownloadError as e: error = e if error is not None or location is None: logging.error("accessible video could not be downloaded: %s", self.id) logging.error("location: %s", location) logging.error(error) return False return True

Example 29

Project: raveberry   Author: raveberry   File: youtube.py    License: GNU Lesser General Public License v3.0 5 votes  

def fetch_metadata(self) -> bool: # in case of a radio playist, restrict the number of songs that are downloaded if self.is_radio(): self.ydl_opts[ "playlistend" ] = self.musiq.base.settings.basic.max_playlist_items try: with youtube_dl.YoutubeDL(self.ydl_opts) as ydl: info_dict = ydl.extract_info(self.id, download=False) except (youtube_dl.utils.ExtractorError, youtube_dl.utils.DownloadError) as e: self.error = e return False if info_dict["_type"] != "playlist" or "entries" not in info_dict: # query was not a playlist url -> search for the query assert False assert self.id == info_dict["id"] if "title" in info_dict: self.title = info_dict["title"] for entry in info_dict["entries"]: self.urls.append("https://www.youtube.com/watch?v=" + entry["id"]) assert self.key is None return True

Example 30

Project: catt   Author: skorokithakis   File: stream_info.py    License: BSD 2-Clause "Simplified" License 5 votes  

def __init__(self, video_url, device_info=None, ytdl_options=None, throw_ytdl_dl_errs=False): self._throw_ytdl_dl_errs = throw_ytdl_dl_errs self.local_ip = get_local_ip(device_info.ip) if device_info else None self.port = random.randrange(45000, 47000) if device_info else None if "://" in video_url: self._ydl = youtube_dl.YoutubeDL(dict(ytdl_options) if ytdl_options else DEFAULT_YTDL_OPTS) self._preinfo = self._get_stream_preinfo(video_url) # Some playlist urls needs to be re-processed (such as youtube channel urls). if self._preinfo.get("ie_key"): self._preinfo = self._get_stream_preinfo(self._preinfo["url"]) self.is_local_file = False model = (device_info.manufacturer, device_info.model_name) if device_info else None cast_type = device_info.cast_type if device_info else None if "format" in self._ydl.params: # We pop the "format" item, as it will make get_stream_info fail, # if it holds an invalid value. self._best_format = self._ydl.params.pop("format") elif cast_type and cast_type in AUDIO_DEVICE_TYPES: self._best_format = AUDIO_FORMAT elif model and model in ULTRA_MODELS: self._best_format = ULTRA_FORMAT else: self._best_format = STANDARD_FORMAT if self.is_playlist: self._entries = list(self._preinfo["entries"]) # There appears to be no way to extract both a YouTube video id, # and ditto playlist id in one go (in the case of an url containing both), # so we set the "noplaylist" option and then fetch preinfo again. self._ydl.params.update({"noplaylist": True}) vpreinfo = self._get_stream_preinfo(video_url) self._info = self._get_stream_info(vpreinfo) if "entries" not in vpreinfo else None else: self._info = self._get_stream_info(self._preinfo) else: self._local_file = video_url self.is_local_file = True

 
 
Posted by uniqueone
,

gitee.com/superxiaoqiang/youtube-dl#embedding-youtube-dl

 

 

youtube-dl - download videos from youtube.com or other video platforms

INSTALLATION

To install it right away for all UNIX users (Linux, OS X, etc.), type:

sudo curl https://yt-dl.org/latest/youtube-dl -o /usr/local/bin/youtube-dl sudo chmod a+rx /usr/local/bin/youtube-dl

If you do not have curl, you can alternatively use a recent wget:

sudo wget https://yt-dl.org/downloads/latest/youtube-dl -O /usr/local/bin/youtube-dl sudo chmod a+rx /usr/local/bin/youtube-dl

Windows users can download a .exe file and place it in their home directory or any other location on their PATH.

OS X users can install youtube-dl with Homebrew.

brew install youtube-dl

You can also use pip:

sudo pip install youtube-dl

Alternatively, refer to the developer instructions for how to check out and work with the git repository. For further options, including PGP signatures, see https://rg3.github.io/youtube-dl/download.html .

DESCRIPTION

youtube-dl is a small command-line program to download videos from YouTube.com and a few more sites. It requires the Python interpreter, version 2.6, 2.7, or 3.2+, and it is not platform specific. It should work on your Unix box, on Windows or on Mac OS X. It is released to the public domain, which means you can modify it, redistribute it or use it however you like.

youtube-dl [OPTIONS] URL [URL...]

OPTIONS

-h, --help Print this help text and exit --version Print program version and exit -U, --update Update this program to latest version. Make sure that you have sufficient permissions (run with sudo if needed) -i, --ignore-errors Continue on download errors, for example to skip unavailable videos in a playlist --abort-on-error Abort downloading of further videos (in the playlist or the command line) if an error occurs --dump-user-agent Display the current browser identification --list-extractors List all supported extractors --extractor-descriptions Output descriptions of all supported extractors --force-generic-extractor Force extraction to use the generic extractor --default-search PREFIX Use this prefix for unqualified URLs. For example "gvsearch2:" downloads two videos from google videos for youtube-dl "large apple". Use the value "auto" to let youtube-dl guess ("auto_warning" to emit a warning when guessing). "error" just throws an error. The default value "fixup_error" repairs broken URLs, but emits an error if this is not possible instead of searching. --ignore-config Do not read configuration files. When given in the global configuration file /etc/youtube-dl.conf: Do not read the user configuration in ~/.config/youtube-dl/config (%APPDATA%/youtube-dl/config.txt on Windows) --flat-playlist Do not extract the videos of a playlist, only list them. --no-color Do not emit color codes in output

Network Options:

--proxy URL Use the specified HTTP/HTTPS proxy. Pass in an empty string (--proxy "") for direct connection --socket-timeout SECONDS Time to wait before giving up, in seconds --source-address IP Client-side IP address to bind to (experimental) -4, --force-ipv4 Make all connections via IPv4 (experimental) -6, --force-ipv6 Make all connections via IPv6 (experimental) --cn-verification-proxy URL Use this proxy to verify the IP address for some Chinese sites. The default proxy specified by --proxy (or none, if the options is not present) is used for the actual downloading. (experimental)

Video Selection:

--playlist-start NUMBER Playlist video to start at (default is 1) --playlist-end NUMBER Playlist video to end at (default is last) --playlist-items ITEM_SPEC Playlist video items to download. Specify indices of the videos in the playlist separated by commas like: "--playlist-items 1,2,5,8" if you want to download videos indexed 1, 2, 5, 8 in the playlist. You can specify range: "--playlist-items 1-3,7,10-13", it will download the videos at index 1, 2, 3, 7, 10, 11, 12 and 13. --match-title REGEX Download only matching titles (regex or caseless sub-string) --reject-title REGEX Skip download for matching titles (regex or caseless sub-string) --max-downloads NUMBER Abort after downloading NUMBER files --min-filesize SIZE Do not download any videos smaller than SIZE (e.g. 50k or 44.6m) --max-filesize SIZE Do not download any videos larger than SIZE (e.g. 50k or 44.6m) --date DATE Download only videos uploaded in this date --datebefore DATE Download only videos uploaded on or before this date (i.e. inclusive) --dateafter DATE Download only videos uploaded on or after this date (i.e. inclusive) --min-views COUNT Do not download any videos with less than COUNT views --max-views COUNT Do not download any videos with more than COUNT views --match-filter FILTER Generic video filter (experimental). Specify any key (see help for -o for a list of available keys) to match if the key is present, !key to check if the key is not present,key > NUMBER (like "comment_count > 12", also works with >=, <, <=, !=, =) to compare against a number, and & to require multiple matches. Values which are not known are excluded unless you put a question mark (?) after the operator.For example, to only match videos that have been liked more than 100 times and disliked less than 50 times (or the dislike functionality is not available at the given service), but who also have a description, use --match-filter "like_count > 100 & dislike_count <? 50 & description" . --no-playlist Download only the video, if the URL refers to a video and a playlist. --yes-playlist Download the playlist, if the URL refers to a video and a playlist. --age-limit YEARS Download only videos suitable for the given age --download-archive FILE Download only videos not listed in the archive file. Record the IDs of all downloaded videos in it. --include-ads Download advertisements as well (experimental)

Download Options:

-r, --rate-limit LIMIT Maximum download rate in bytes per second (e.g. 50K or 4.2M) -R, --retries RETRIES Number of retries (default is 10), or "infinite". --buffer-size SIZE Size of download buffer (e.g. 1024 or 16K) (default is 1024) --no-resize-buffer Do not automatically adjust the buffer size. By default, the buffer size is automatically resized from an initial value of SIZE. --playlist-reverse Download playlist videos in reverse order --xattr-set-filesize Set file xattribute ytdl.filesize with expected filesize (experimental) --hls-prefer-native Use the native HLS downloader instead of ffmpeg (experimental) --external-downloader COMMAND Use the specified external downloader. Currently supports aria2c,axel,curl,httpie,wget --external-downloader-args ARGS Give these arguments to the external downloader

Filesystem Options:

-a, --batch-file FILE File containing URLs to download ('-' for stdin) --id Use only video ID in file name -o, --output TEMPLATE Output filename template. Use %(title)s to get the title, %(uploader)s for the uploader name, %(uploader_id)s for the uploader nickname if different, %(autonumber)s to get an automatically incremented number, %(ext)s for the filename extension, %(format)s for the format description (like "22 - 1280x720" or "HD"), %(format_id)s for the unique id of the format (like YouTube's itags: "137"), %(upload_date)s for the upload date (YYYYMMDD), %(extractor)s for the provider (youtube, metacafe, etc), %(id)s for the video id, %(playlist_title)s, %(playlist_id)s, or %(playlist)s (=title if present, ID otherwise) for the playlist the video is in, %(playlist_index)s for the position in the playlist. %(height)s and %(width)s for the width and height of the video format. %(resolution)s for a textual description of the resolution of the video format. %% for a literal percent. Use - to output to stdout. Can also be used to download to a different directory, for example with -o '/my/downloads/%(uploader)s/%(title)s-%(id)s.%(ext)s' . --autonumber-size NUMBER Specify the number of digits in %(autonumber)s when it is present in output filename template or --auto-number option is given --restrict-filenames Restrict filenames to only ASCII characters, and avoid "&" and spaces in filenames -A, --auto-number [deprecated; use -o "%(autonumber)s-%(title)s.%(ext)s" ] Number downloaded files starting from 00000 -t, --title [deprecated] Use title in file name (default) -l, --literal [deprecated] Alias of --title -w, --no-overwrites Do not overwrite files -c, --continue Force resume of partially downloaded files. By default, youtube-dl will resume downloads if possible. --no-continue Do not resume partially downloaded files (restart from beginning) --no-part Do not use .part files - write directly into output file --no-mtime Do not use the Last-modified header to set the file modification time --write-description Write video description to a .description file --write-info-json Write video metadata to a .info.json file --write-annotations Write video annotations to a .annotations.xml file --load-info FILE JSON file containing the video information (created with the "--write-info-json" option) --cookies FILE File to read cookies from and dump cookie jar in --cache-dir DIR Location in the filesystem where youtube-dl can store some downloaded information permanently. By default $XDG_CACHE_HOME/youtube-dl or ~/.cache/youtube-dl . At the moment, only YouTube player files (for videos with obfuscated signatures) are cached, but that may change. --no-cache-dir Disable filesystem caching --rm-cache-dir Delete all filesystem cache files

Thumbnail images:

--write-thumbnail Write thumbnail image to disk --write-all-thumbnails Write all thumbnail image formats to disk --list-thumbnails Simulate and list all available thumbnail formats

Verbosity / Simulation Options:

-q, --quiet Activate quiet mode --no-warnings Ignore warnings -s, --simulate Do not download the video and do not write anything to disk --skip-download Do not download the video -g, --get-url Simulate, quiet but print URL -e, --get-title Simulate, quiet but print title --get-id Simulate, quiet but print id --get-thumbnail Simulate, quiet but print thumbnail URL --get-description Simulate, quiet but print video description --get-duration Simulate, quiet but print video length --get-filename Simulate, quiet but print output filename --get-format Simulate, quiet but print output format -j, --dump-json Simulate, quiet but print JSON information. See --output for a description of available keys. -J, --dump-single-json Simulate, quiet but print JSON information for each command-line argument. If the URL refers to a playlist, dump the whole playlist information in a single line. --print-json Be quiet and print the video information as JSON (video is still being downloaded). --newline Output progress bar as new lines --no-progress Do not print progress bar --console-title Display progress in console titlebar -v, --verbose Print various debugging information --dump-pages Print downloaded pages encoded using base64 to debug problems (very verbose) --write-pages Write downloaded intermediary pages to files in the current directory to debug problems --print-traffic Display sent and read HTTP traffic -C, --call-home Contact the youtube-dl server for debugging --no-call-home Do NOT contact the youtube-dl server for debugging

Workarounds:

--encoding ENCODING Force the specified encoding (experimental) --no-check-certificate Suppress HTTPS certificate validation --prefer-insecure Use an unencrypted connection to retrieve information about the video. (Currently supported only for YouTube) --user-agent UA Specify a custom user agent --referer URL Specify a custom referer, use if the video access is restricted to one domain --add-header FIELD:VALUE Specify a custom HTTP header and its value, separated by a colon ':'. You can use this option multiple times --bidi-workaround Work around terminals that lack bidirectional text support. Requires bidiv or fribidi executable in PATH --sleep-interval SECONDS Number of seconds to sleep before each download.

Video Format Options:

-f, --format FORMAT Video format code, see the "FORMAT SELECTION" for all the info --all-formats Download all available video formats --prefer-free-formats Prefer free video formats unless a specific one is requested -F, --list-formats List all available formats --youtube-skip-dash-manifest Do not download the DASH manifests and related data on YouTube videos --merge-output-format FORMAT If a merge is required (e.g. bestvideo+bestaudio), output to given container format. One of mkv, mp4, ogg, webm, flv. Ignored if no merge is required

Subtitle Options:

--write-sub Write subtitle file --write-auto-sub Write automatic subtitle file (YouTube only) --all-subs Download all the available subtitles of the video --list-subs List all available subtitles for the video --sub-format FORMAT Subtitle format, accepts formats preference, for example: "srt" or "ass/srt/best" --sub-lang LANGS Languages of the subtitles to download (optional) separated by commas, use IETF language tags like 'en,pt'

Authentication Options:

-u, --username USERNAME Login with this account ID -p, --password PASSWORD Account password. If this option is left out, youtube-dl will ask interactively. -2, --twofactor TWOFACTOR Two-factor auth code -n, --netrc Use .netrc authentication data --video-password PASSWORD Video password (vimeo, smotri, youku)

Post-processing Options:

-x, --extract-audio Convert video files to audio-only files (requires ffmpeg or avconv and ffprobe or avprobe) --audio-format FORMAT Specify audio format: "best", "aac", "vorbis", "mp3", "m4a", "opus", or "wav"; "best" by default --audio-quality QUALITY Specify ffmpeg/avconv audio quality, insert a value between 0 (better) and 9 (worse) for VBR or a specific bitrate like 128K (default 5) --recode-video FORMAT Encode the video to another format if necessary (currently supported: mp4|flv|ogg|webm|mkv|avi) --postprocessor-args ARGS Give these arguments to the postprocessor -k, --keep-video Keep the video file on disk after the post-processing; the video is erased by default --no-post-overwrites Do not overwrite post-processed files; the post-processed files are overwritten by default --embed-subs Embed subtitles in the video (only for mkv and mp4 videos) --embed-thumbnail Embed thumbnail in the audio as cover art --add-metadata Write metadata to the video file --metadata-from-title FORMAT Parse additional metadata like song title / artist from the video title. The format syntax is the same as --output, the parsed parameters replace existing values. Additional templates: %(album)s, %(artist)s. Example: --metadata-from-title "%(artist)s - %(title)s" matches a title like "Coldplay - Paradise" --xattrs Write metadata to the video file's xattrs (using dublin core and xdg standards) --fixup POLICY Automatically correct known faults of the file. One of never (do nothing), warn (only emit a warning), detect_or_warn (the default; fix file if we can, warn otherwise) --prefer-avconv Prefer avconv over ffmpeg for running the postprocessors (default) --prefer-ffmpeg Prefer ffmpeg over avconv for running the postprocessors --ffmpeg-location PATH Location of the ffmpeg/avconv binary; either the path to the binary or its containing directory. --exec CMD Execute a command on the file after downloading, similar to find's -exec syntax. Example: --exec 'adb push {} /sdcard/Music/ && rm {}' --convert-subtitles FORMAT Convert the subtitles to other format (currently supported: srt|ass|vtt)

CONFIGURATION

You can configure youtube-dl by placing any supported command line option to a configuration file. On Linux, system wide configuration file is located at /etc/youtube-dl.conf and user wide configuration file at ~/.config/youtube-dl/config. On Windows, the user wide configuration file locations are %APPDATA%\youtube-dl\config.txt or C:\Users\<user name>\youtube-dl.conf. For example, with the following configration file youtube-dl will always extract the audio, not copy the mtime and use proxy:

--extract-audio --no-mtime --proxy 127.0.0.1:3128

You can use --ignore-config if you want to disable configuration file for a particular youtube-dl run.

Authentication with .netrc file

You may also want to configure automatic credentials storage for extractors that support authentication (by providing login and password with --username and --password) in order not to pass credentials as command line arguments on every youtube-dl execution and prevent tracking plain text passwords in shell command history. You can achieve this using .netrc file on per extractor basis. For that you will need to create .netrc file in your $HOME and restrict permissions to read/write by you only:

touch $HOME/.netrc chmod a-rwx,u+rw $HOME/.netrc

After that you can add credentials for extractor in the following format, where extractor is the name of extractor in lowercase:

machine <extractor> login <login> password <password>

For example:

machine youtube login myaccount@gmail.com password my_youtube_password machine twitch login my_twitch_account_name password my_twitch_password

To activate authentication with .netrc file you should pass --netrc to youtube-dl or place it in configuration file.

On Windows you may also need to setup %HOME% environment variable manually.

OUTPUT TEMPLATE

The -o option allows users to indicate a template for the output file names. The basic usage is not to set any template arguments when downloading a single file, like in youtube-dl -o funny_video.flv "http://some/video". However, it may contain special sequences that will be replaced when downloading each video. The special sequences have the format %(NAME)s. To clarify, that is a percent symbol followed by a name in parenthesis, followed by a lowercase S. Allowed names are:

  • id: The sequence will be replaced by the video identifier.
  • url: The sequence will be replaced by the video URL.
  • uploader: The sequence will be replaced by the nickname of the person who uploaded the video.
  • upload_date: The sequence will be replaced by the upload date in YYYYMMDD format.
  • title: The sequence will be replaced by the video title.
  • ext: The sequence will be replaced by the appropriate extension (like flv or mp4).
  • epoch: The sequence will be replaced by the Unix epoch when creating the file.
  • autonumber: The sequence will be replaced by a five-digit number that will be increased with each download, starting at zero.
  • playlist: The sequence will be replaced by the name or the id of the playlist that contains the video.
  • playlist_index: The sequence will be replaced by the index of the video in the playlist padded with leading zeros according to the total length of the playlist.
  • format_id: The sequence will be replaced by the format code specified by --format.
  • duration: The sequence will be replaced by the length of the video in seconds.

The current default template is %(title)s-%(id)s.%(ext)s.

In some cases, you don't want special characters such as 中, spaces, or &, such as when transferring the downloaded filename to a Windows system or the filename through an 8bit-unsafe channel. In these cases, add the --restrict-filenames flag to get a shorter title:

$ youtube-dl --get-filename -o "%(title)s.%(ext)s" BaW_jenozKc youtube-dl test video ''_ä↭𝕐.mp4 # All kinds of weird characters $ youtube-dl --get-filename -o "%(title)s.%(ext)s" BaW_jenozKc --restrict-filenames youtube-dl_test_video_.mp4 # A simple file name

FORMAT SELECTION

By default youtube-dl tries to download the best quality, but sometimes you may want to download other format. The simplest case is requesting a specific format, for example -f 22. You can get the list of available formats using --list-formats, you can also use a file extension (currently it supports aac, m4a, mp3, mp4, ogg, wav, webm) or the special names best, bestvideo, bestaudio and worst.

If you want to download multiple videos and they don't have the same formats available, you can specify the order of preference using slashes, as in -f 22/17/18. You can also filter the video results by putting a condition in brackets, as in -f "best[height=720]" (or -f "[filesize>10M]"). This works for filesize, height, width, tbr, abr, vbr, asr, and fps and the comparisons <, <=, >, >=, =, != and for ext, acodec, vcodec, container, and protocol and the comparisons =, != . Formats for which the value is not known are excluded unless you put a question mark (?) after the operator. You can combine format filters, so -f "[height <=? 720][tbr>500]" selects up to 720p videos (or videos where the height is not known) with a bitrate of at least 500 KBit/s. Use commas to download multiple formats, such as -f 136/137/mp4/bestvideo,140/m4a/bestaudio. You can merge the video and audio of two formats into a single file using -f <video-format>+<audio-format> (requires ffmpeg or avconv), for example -f bestvideo+bestaudio. Format selectors can also be grouped using parentheses, for example if you want to download the best mp4 and webm formats with a height lower than 480 you can use -f '(mp4,webm)[height<480]'.

Since the end of April 2015 and version 2015.04.26 youtube-dl uses -f bestvideo+bestaudio/best as default format selection (see #5447, #5456). If ffmpeg or avconv are installed this results in downloading bestvideo and bestaudio separately and muxing them together into a single file giving the best overall quality available. Otherwise it falls back to best and results in downloading best available quality served as a single file. best is also needed for videos that don't come from YouTube because they don't provide the audio and video in two different files. If you want to only download some dash formats (for example if you are not interested in getting videos with a resolution higher than 1080p), you can add -f bestvideo[height<=?1080]+bestaudio/best to your configuration file. Note that if you use youtube-dl to stream to stdout (and most likely to pipe it to your media player then), i.e. you explicitly specify output template as -o -, youtube-dl still uses -f best format selection in order to start content delivery immediately to your player and not to wait until bestvideo and bestaudio are downloaded and muxed.

If you want to preserve the old format selection behavior (prior to youtube-dl 2015.04.26), i.e. you want to download best available quality media served as a single file, you should explicitly specify your choice with -f best. You may want to add it to the configuration file in order not to type it every time you run youtube-dl.

VIDEO SELECTION

Videos can be filtered by their upload date using the options --date, --datebefore or --dateafter, they accept dates in two formats:

  • Absolute dates: Dates in the format YYYYMMDD.
  • Relative dates: Dates in the format (now|today)[+-][0-9](day|week|month|year)(s)?

Examples:

# Download only the videos uploaded in the last 6 months $ youtube-dl --dateafter now-6months # Download only the videos uploaded on January 1, 1970 $ youtube-dl --date 19700101 $ # will only download the videos uploaded in the 200x decade $ youtube-dl --dateafter 20000101 --datebefore 20091231

FAQ

How do I update youtube-dl?

If you've followed our manual installation instructions, you can simply run youtube-dl -U (or, on Linux, sudo youtube-dl -U).

If you have used pip, a simple sudo pip install -U youtube-dl is sufficient to update.

If you have installed youtube-dl using a package manager like apt-get or yum, use the standard system update mechanism to update. Note that distribution packages are often outdated. As a rule of thumb, youtube-dl releases at least once a month, and often weekly or even daily. Simply go to http://yt-dl.org/ to find out the current version. Unfortunately, there is nothing we youtube-dl developers can do if your distributions serves a really outdated version. You can (and should) complain to your distribution in their bugtracker or support forum.

As a last resort, you can also uninstall the version installed by your package manager and follow our manual installation instructions. For that, remove the distribution's package, with a line like

sudo apt-get remove -y youtube-dl

Afterwards, simply follow our manual installation instructions:

sudo wget https://yt-dl.org/latest/youtube-dl -O /usr/local/bin/youtube-dl sudo chmod a+x /usr/local/bin/youtube-dl hash -r

Again, from then on you'll be able to update with sudo youtube-dl -U.

I'm getting an error Unable to extract OpenGraph title on YouTube playlists

YouTube changed their playlist format in March 2014 and later on, so you'll need at least youtube-dl 2014.07.25 to download all YouTube videos.

If you have installed youtube-dl with a package manager, pip, setup.py or a tarball, please use that to update. Note that Ubuntu packages do not seem to get updated anymore. Since we are not affiliated with Ubuntu, there is little we can do. Feel free to report bugs to the Ubuntu packaging guys - all they have to do is update the package to a somewhat recent version. See above for a way to update.

Do I always have to pass -citw?

By default, youtube-dl intends to have the best options (incidentally, if you have a convincing case that these should be different, please file an issue where you explain that). Therefore, it is unnecessary and sometimes harmful to copy long option strings from webpages. In particular, the only option out of -citw that is regularly useful is -i.

Can you please put the -b option back?

Most people asking this question are not aware that youtube-dl now defaults to downloading the highest available quality as reported by YouTube, which will be 1080p or 720p in some cases, so you no longer need the -b option. For some specific videos, maybe YouTube does not report them to be available in a specific high quality format you're interested in. In that case, simply request it with the -f option and youtube-dl will try to download it.

I get HTTP error 402 when trying to download a video. What's this?

Apparently YouTube requires you to pass a CAPTCHA test if you download too much. We're considering to provide a way to let you solve the CAPTCHA, but at the moment, your best course of action is pointing a webbrowser to the youtube URL, solving the CAPTCHA, and restart youtube-dl.

I have downloaded a video but how can I play it?

Once the video is fully downloaded, use any video player, such as vlc or mplayer.

I extracted a video URL with -g, but it does not play on another machine / in my webbrowser.

It depends a lot on the service. In many cases, requests for the video (to download/play it) must come from the same IP address and with the same cookies. Use the --cookies option to write the required cookies into a file, and advise your downloader to read cookies from that file. Some sites also require a common user agent to be used, use --dump-user-agent to see the one in use by youtube-dl.

It may be beneficial to use IPv6; in some cases, the restrictions are only applied to IPv4. Some services (sometimes only for a subset of videos) do not restrict the video URL by IP address, cookie, or user-agent, but these are the exception rather than the rule.

Please bear in mind that some URL protocols are not supported by browsers out of the box, including RTMP. If you are using -g, your own downloader must support these as well.

If you want to play the video on a machine that is not running youtube-dl, you can relay the video content from the machine that runs youtube-dl. You can use -o - to let youtube-dl stream a video to stdout, or simply allow the player to download the files written by youtube-dl in turn.

ERROR: no fmt_url_map or conn information found in video info

YouTube has switched to a new video info format in July 2011 which is not supported by old versions of youtube-dl. See above for how to update youtube-dl.

ERROR: unable to download video

YouTube requires an additional signature since September 2012 which is not supported by old versions of youtube-dl. See above for how to update youtube-dl.

Video URL contains an ampersand and I'm getting some strange output [1] 2839 or 'v' is not recognized as an internal or external command

That's actually the output from your shell. Since ampersand is one of the special shell characters it's interpreted by shell preventing you from passing the whole URL to youtube-dl. To disable your shell from interpreting the ampersands (or any other special characters) you have to either put the whole URL in quotes or escape them with a backslash (which approach will work depends on your shell).

For example if your URL is https://www.youtube.com/watch?t=4&v=BaW_jenozKc you should end up with following command:

youtube-dl 'https://www.youtube.com/watch?t=4&v=BaW_jenozKc'

or

youtube-dl https://www.youtube.com/watch?t=4\&v=BaW_jenozKc

For Windows you have to use the double quotes:

youtube-dl "https://www.youtube.com/watch?t=4&v=BaW_jenozKc"

ExtractorError: Could not find JS function u'OF'

In February 2015, the new YouTube player contained a character sequence in a string that was misinterpreted by old versions of youtube-dl. See above for how to update youtube-dl.

HTTP Error 429: Too Many Requests or 402: Payment Required

These two error codes indicate that the service is blocking your IP address because of overuse. Contact the service and ask them to unblock your IP address, or - if you have acquired a whitelisted IP address already - use the --proxy or --source-address options to select another IP address.

SyntaxError: Non-ASCII character

The error

File "youtube-dl", line 2 SyntaxError: Non-ASCII character '\x93' ...

means you're using an outdated version of Python. Please update to Python 2.6 or 2.7.

What is this binary file? Where has the code gone?

Since June 2012 (#342) youtube-dl is packed as an executable zipfile, simply unzip it (might need renaming to youtube-dl.zip first on some systems) or clone the git repository, as laid out above. If you modify the code, you can run it by executing the __main__.py file. To recompile the executable, run make youtube-dl.

The exe throws a Runtime error from Visual C++

To run the exe you need to install first the Microsoft Visual C++ 2008 Redistributable Package.

On Windows, how should I set up ffmpeg and youtube-dl? Where should I put the exe files?

If you put youtube-dl and ffmpeg in the same directory that you're running the command from, it will work, but that's rather cumbersome.

To make a different directory work - either for ffmpeg, or for youtube-dl, or for both - simply create the directory (say, C:\bin, or C:\Users\<User name>\bin), put all the executables directly in there, and then set your PATH environment variable to include that directory.

From then on, after restarting your shell, you will be able to access both youtube-dl and ffmpeg (and youtube-dl will be able to find ffmpeg) by simply typing youtube-dl or ffmpeg, no matter what directory you're in.

How do I put downloads into a specific folder?

Use the -o to specify an output template, for example -o "/home/user/videos/%(title)s-%(id)s.%(ext)s". If you want this for all of your downloads, put the option into your configuration file.

How do I download a video starting with a - ?

Either prepend http://www.youtube.com/watch?v= or separate the ID from the options with --:

youtube-dl -- -wNyEUrxzFU youtube-dl "http://www.youtube.com/watch?v=-wNyEUrxzFU"

How do I pass cookies to youtube-dl?

Use the --cookies option, for example --cookies /path/to/cookies/file.txt. Note that cookies file must be in Mozilla/Netscape format and the first line of cookies file must be either # HTTP Cookie File or # Netscape HTTP Cookie File. Make sure you have correct newline format in cookies file and convert newlines if necessary to correspond your OS, namely CRLF (\r\n) for Windows, LF (\n) for Linux and CR (\r) for Mac OS. HTTP Error 400: Bad Request when using --cookies is a good sign of invalid newline format.

Passing cookies to youtube-dl is a good way to workaround login when particular extractor does not implement it explicitly.

Can you add support for this anime video site, or site which shows current movies for free?

As a matter of policy (as well as legality), youtube-dl does not include support for services that specialize in infringing copyright. As a rule of thumb, if you cannot easily find a video that the service is quite obviously allowed to distribute (i.e. that has been uploaded by the creator, the creator's distributor, or is published under a free license), the service is probably unfit for inclusion to youtube-dl.

A note on the service that they don't host the infringing content, but just link to those who do, is evidence that the service should not be included into youtube-dl. The same goes for any DMCA note when the whole front page of the service is filled with videos they are not allowed to distribute. A "fair use" note is equally unconvincing if the service shows copyright-protected videos in full without authorization.

Support requests for services that do purchase the rights to distribute their content are perfectly fine though. If in doubt, you can simply include a source that mentions the legitimate purchase of content.

How can I speed up work on my issue?

(Also known as: Help, my important issue not being solved!) The youtube-dl core developer team is quite small. While we do our best to solve as many issues as possible, sometimes that can take quite a while. To speed up your issue, here's what you can do:

First of all, please do report the issue at our issue tracker. That allows us to coordinate all efforts by users and developers, and serves as a unified point. Unfortunately, the youtube-dl project has grown too large to use personal email as an effective communication channel.

Please read the bug reporting instructions below. A lot of bugs lack all the necessary information. If you can, offer proxy, VPN, or shell access to the youtube-dl developers. If you are able to, test the issue from multiple computers in multiple countries to exclude local censorship or misconfiguration issues.

If nobody is interested in solving your issue, you are welcome to take matters into your own hands and submit a pull request (or coerce/pay somebody else to do so).

Feel free to bump the issue from time to time by writing a small comment ("Issue is still present in youtube-dl version ...from France, but fixed from Belgium"), but please not more than once a month. Please do not declare your issue as important or urgent.

How can I detect whether a given URL is supported by youtube-dl?

For one, have a look at the list of supported sites. Note that it can sometimes happen that the site changes its URL scheme (say, from http://example.com/video/1234567 to http://example.com/v/1234567 ) and youtube-dl reports an URL of a service in that list as unsupported. In that case, simply report a bug.

It is not possible to detect whether a URL is supported or not. That's because youtube-dl contains a generic extractor which matches all URLs. You may be tempted to disable, exclude, or remove the generic extractor, but the generic extractor not only allows users to extract videos from lots of websites that embed a video from another service, but may also be used to extract video from a service that it's hosting itself. Therefore, we neither recommend nor support disabling, excluding, or removing the generic extractor.

If you want to find out whether a given URL is supported, simply call youtube-dl with it. If you get no videos back, chances are the URL is either not referring to a video or unsupported. You can find out which by examining the output (if you run youtube-dl on the console) or catching an UnsupportedError exception if you run it from a Python program.

DEVELOPER INSTRUCTIONS

Most users do not need to build youtube-dl and can download the builds or get them from their distribution.

To run youtube-dl as a developer, you don't need to build anything either. Simply execute

python -m youtube_dl

To run the test, simply invoke your favorite test runner, or execute a test file directly; any of the following work:

python -m unittest discover python test/test_download.py nosetests

If you want to create a build of youtube-dl yourself, you'll need

  • python
  • make
  • pandoc
  • zip
  • nosetests

Adding support for a new site

If you want to add support for a new site, you can follow this quick list (assuming your service is called yourextractor):

  1. Fork this repository

  2. Check out the source code with git clone git@github.com:YOUR_GITHUB_USERNAME/youtube-dl.git

  3. Start a new git branch with cd youtube-dl; git checkout -b yourextractor

  4. Start with this simple template and save it to youtube_dl/extractor/yourextractor.py:

    # coding: utf-8 from __future__ import unicode_literals from .common import InfoExtractor class YourExtractorIE(InfoExtractor): _VALID_URL = r'https?://(?:www\.)?yourextractor\.com/watch/(?P<id>[0-9]+)' _TEST = { 'url': 'http://yourextractor.com/watch/42', 'md5': 'TODO: md5 sum of the first 10241 bytes of the video file (use --test)', 'info_dict': { 'id': '42', 'ext': 'mp4', 'title': 'Video title goes here', 'thumbnail': 're:^https?://.*\.jpg$', # TODO more properties, either as: # * A value # * MD5 checksum; start the string with md5: # * A regular expression; start the string with re: # * Any Python type (for example int or float) } } def _real_extract(self, url): video_id = self._match_id(url) webpage = self._download_webpage(url, video_id) # TODO more code goes here, for example ... title = self._html_search_regex(r'<h1>(.*?)</h1>', webpage, 'title') return { 'id': video_id, 'title': title, 'description': self._og_search_description(webpage), # TODO more properties (see youtube_dl/extractor/common.py) }

  5. Add an import in youtube_dl/extractor/__init__.py.

  6. Run python test/test_download.py TestDownload.test_YourExtractor. This should fail at first, but you can continually re-run it until you're done. If you decide to add more than one test, then rename _TEST to _TESTS and make it into a list of dictionaries. The tests will be then be named TestDownload.test_YourExtractor, TestDownload.test_YourExtractor_1, TestDownload.test_YourExtractor_2, etc.

  7. Have a look at youtube_dl/extractor/common.py for possible helper methods and a detailed description of what your extractor should and may return. Add tests and code for as many as you want.

  8. If you can, check the code with flake8.

  9. When the tests pass, add the new files and commit them and push the result, like this:

    $ git add youtube_dl/extractor/__init__.py $ git add youtube_dl/extractor/yourextractor.py $ git commit -m '[yourextractor] Add new extractor' $ git push origin yourextractor

  10. Finally, create a pull request. We'll then review and merge it.

In any case, thank you very much for your contributions!

EMBEDDING YOUTUBE-DL

youtube-dl makes the best effort to be a good command-line program, and thus should be callable from any programming language. If you encounter any problems parsing its output, feel free to create a report.

From a Python program, you can embed youtube-dl in a more powerful fashion, like this:

from __future__ import unicode_literals import youtube_dl ydl_opts = {} with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.download(['http://www.youtube.com/watch?v=BaW_jenozKc'])

Most likely, you'll want to use various options. For a list of what can be done, have a look at youtube_dl/YoutubeDL.py. For a start, if you want to intercept youtube-dl's output, set a logger object.

Here's a more complete example of a program that outputs only errors (and a short message after the download is finished), and downloads/converts the video to an mp3 file:

from __future__ import unicode_literals import youtube_dl class MyLogger(object): def debug(self, msg): pass def warning(self, msg): pass def error(self, msg): print(msg) def my_hook(d): if d['status'] == 'finished': print('Done downloading, now converting ...') ydl_opts = { 'format': 'bestaudio/best', 'postprocessors': [{ 'key': 'FFmpegExtractAudio', 'preferredcodec': 'mp3', 'preferredquality': '192', }], 'logger': MyLogger(), 'progress_hooks': [my_hook], } with youtube_dl.YoutubeDL(ydl_opts) as ydl: ydl.download(['http://www.youtube.com/watch?v=BaW_jenozKc'])

BUGS

Bugs and suggestions should be reported at: https://github.com/rg3/youtube-dl/issues . Unless you were prompted so or there is another pertinent reason (e.g. GitHub fails to accept the bug report), please do not send bug reports via personal email. For discussions, join us in the irc channel #youtube-dl on freenode.

Please include the full output of youtube-dl when run with -v.

The output (including the first lines) contain important debugging information. Issues without the full output are often not reproducible and therefore do not get solved in short order, if ever.

Please re-read your issue once again to avoid a couple of common mistakes (you can and should use this as a checklist):

Is the description of the issue itself sufficient?

We often get issue reports that we cannot really decipher. While in most cases we eventually get the required information after asking back multiple times, this poses an unnecessary drain on our resources. Many contributors, including myself, are also not native speakers, so we may misread some parts.

So please elaborate on what feature you are requesting, or what bug you want to be fixed. Make sure that it's obvious

  • What the problem is
  • How it could be fixed
  • How your proposed solution would look like

If your report is shorter than two lines, it is almost certainly missing some of these, which makes it hard for us to respond to it. We're often too polite to close the issue outright, but the missing info makes misinterpretation likely. As a commiter myself, I often get frustrated by these issues, since the only possible way for me to move forward on them is to ask for clarification over and over.

For bug reports, this means that your report should contain the complete output of youtube-dl when called with the -v flag. The error message you get for (most) bugs even says so, but you would not believe how many of our bug reports do not contain this information.

If your server has multiple IPs or you suspect censorship, adding --call-home may be a good idea to get more diagnostics. If the error is ERROR: Unable to extract ... and you cannot reproduce it from multiple countries, add --dump-pages (warning: this will yield a rather large output, redirect it to the file log.txt by adding >log.txt 2>&1 to your command-line) or upload the .dump files you get when you add --write-pages somewhere.

Site support requests must contain an example URL. An example URL is a URL you might want to download, like http://www.youtube.com/watch?v=BaW_jenozKc . There should be an obvious video present. Except under very special circumstances, the main page of a video service (e.g. http://www.youtube.com/ ) is not an example URL.

Are you using the latest version?

Before reporting any issue, type youtube-dl -U. This should report that you're up-to-date. About 20% of the reports we receive are already fixed, but people are using outdated versions. This goes for feature requests as well.

Is the issue already documented?

Make sure that someone has not already opened the issue you're trying to open. Search at the top of the window or at https://github.com/rg3/youtube-dl/search?type=Issues . If there is an issue, feel free to write something along the lines of "This affects me as well, with version 2015.01.01. Here is some more information on the issue: ...". While some issues may be old, a new post into them often spurs rapid activity.

Why are existing options not enough?

Before requesting a new feature, please have a quick peek at the list of supported options. Many feature requests are for features that actually exist already! Please, absolutely do show off your work in the issue report and detail how the existing similar options do not solve your problem.

Is there enough context in your bug report?

People want to solve problems, and often think they do us a favor by breaking down their larger problems (e.g. wanting to skip already downloaded files) to a specific request (e.g. requesting us to look whether the file exists before downloading the info page). However, what often happens is that they break down the problem into two steps: One simple, and one impossible (or extremely complicated one).

We are then presented with a very complicated request when the original problem could be solved far easier, e.g. by recording the downloaded video IDs in a separate file. To avoid this, you must include the greater context where it is non-obvious. In particular, every feature request that does not consist of adding support for a new site should contain a use case scenario that explains in what situation the missing feature would be useful.

Does the issue involve one problem, and one problem only?

Some of our users seem to think there is a limit of issues they can or should open. There is no limit of issues they can or should open. While it may seem appealing to be able to dump all your issues into one ticket, that means that someone who solves one of your issues cannot mark the issue as closed. Typically, reporting a bunch of issues leads to the ticket lingering since nobody wants to attack that behemoth, until someone mercifully splits the issue into multiple ones.

In particular, every site support request issue should only pertain to services at one site (generally under a common domain, but always using the same backend technology). Do not request support for vimeo user videos, Whitehouse podcasts, and Google Plus pages in the same issue. Also, make sure that you don't post bug reports alongside feature requests. As a rule of thumb, a feature request does not include outputs of youtube-dl that are not immediately related to the feature at hand. Do not post reports of a network error alongside the request for a new video service.

Is anyone going to need the feature?

Only post features that you (or an incapacitated friend you can personally talk to) require. Do not post features because they seem like a good idea. If they are really useful, they will be requested by someone who requires them.

Is your question about youtube-dl?

It may sound strange, but some bug reports we receive are completely unrelated to youtube-dl and relate to a different or even the reporter's own application. Please make sure that you are actually using youtube-dl. If you are using a UI for youtube-dl, report the bug to the maintainer of the actual application providing the UI. On the other hand, if your UI for youtube-dl fails in some way you believe is related to youtube-dl, by all means, go ahead and report the bug.

COPYRIGHT

youtube-dl is released into the public domain by the copyright holders.

This README file was originally written by Daniel Bolton (https://github.com/dbbolton) and is likewise released into the public domain.

 
Posted by uniqueone
,

ffmpeg의 bin폴더내의 3개 파일(ffmpeg.exe, ffplay.exe, ffprobe.exe)이 파이썬 메인 파일과 같은 폴더에 있다고 가정한다.

 

 

 

- 유뷰브 주소가 'https://youtu.be/gRyJZYOEQ9Y'인 동영상 다운 받으려면 아래와 같이 입력한다

'youtube-dl ytsearch:YgtL4S7Hrwo'

(venv10) E:\youtube_download>youtube-dl YgtL4S7Hrwo
[youtube] YgtL4S7Hrwo: Downloading webpage
[download] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.f247.webm
[download] 100% of 113.05MiB in 00:08
[download] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.f251.webm
[download] 100% of 35.72MiB in 00:02
[ffmpeg] Merging formats into "Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm"
Deleting original file Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.f247.webm (pass -k to keep)
Deleting original file Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.f251.webm (pass -k to keep)

- 유뷰브 주소가 'https://youtu.be/gRyJZYOEQ9Y'인 동영상의 다운 가능한 video와 audio 포맷 정보 보려면 아래와 같이 입력한다

'youtube-dl ytsearch:YgtL4S7Hrwo --list-formats'

(venv10) E:\youtube_download>youtube-dl YgtL4S7Hrwo --list-formats
[youtube] YgtL4S7Hrwo: Downloading webpage
[info] Available formats for YgtL4S7Hrwo:
format code  extension  resolution note
249          webm       audio only tiny   51k , opus @ 50k (48000Hz), 15.13MiB
250          webm       audio only tiny   72k , opus @ 70k (48000Hz), 19.61MiB
140          m4a        audio only tiny  129k , m4a_dash container, mp4a.40.2@128k (44100Hz), 38.38MiB
251          webm       audio only tiny  130k , opus @160k (48000Hz), 35.72MiB
160          mp4        256x144    144p   34k , avc1.4d400c, 30fps, video only, 4.08MiB
278          webm       256x144    144p   54k , webm container, vp9, 30fps, video only, 9.75MiB
133          mp4        426x240    240p   56k , avc1.4d4015, 30fps, video only, 7.01MiB
242          webm       426x240    240p   85k , vp9, 30fps, video only, 13.77MiB
134          mp4        640x360    360p  114k , avc1.4d401e, 30fps, video only, 13.50MiB
243          webm       640x360    360p  156k , vp9, 30fps, video only, 24.85MiB
135          mp4        854x480    480p  202k , avc1.4d401f, 30fps, video only, 24.01MiB
244          webm       854x480    480p  292k , vp9, 30fps, video only, 38.34MiB
136          mp4        1280x720   720p  410k , avc1.4d401f, 30fps, video only, 45.66MiB
247          webm       1280x720   720p  868k , vp9, 30fps, video only, 113.05MiB
22           mp4        1280x720   720p  277k , avc1.64001F, 30fps, mp4a.40.2@192k (44100Hz)
18           mp4        640x360    360p  310k , avc1.42001E, 30fps, mp4a.40.2@ 96k (44100Hz), 93.77MiB (best)

- 위 리스트 중 249 포맷 코드 다운 받으려면 아래와 같이

(venv10) E:\youtube_download>youtube-dl YgtL4S7Hrwo -f 249
[youtube] YgtL4S7Hrwo: Downloading webpage
[download] Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm has already been downloaded
[download] 100% of 148.77MiB

- '-f worst'를 쓰면 가장 안좋은 품질이 다운된다는데, 좋은 품질이 다운된다. 어떻게 된거지?

(venv10) E:\youtube_download>youtube-dl YgtL4S7Hrwo -f worst
[youtube] YgtL4S7Hrwo: Downloading webpage
[download] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.mp4
[download] 100% of 83.80MiB in 00:05

- 'youtube-dl -x --audio-format mp3 YgtL4S7Hrwo'이라고 하면 mp3가 다운되는데, 오디오 품질은 가변(various) 품질이다. 

(venv10) E:\youtube_download>youtube-dl -x --audio-format mp3 YgtL4S7Hrwo
[youtube] YgtL4S7Hrwo: Downloading webpage
[download] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm
[download] 100% of 35.72MiB in 00:02
[ffmpeg] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.mp3
Deleting original file Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm (pass -k to keep)

- 특정 오디오 품질로 하려면, 예를 들어 64kbps로 하려면 '--audio-quality 64k'를 넣어준다

(venv10) E:\youtube_download>youtube-dl -x --audio-format mp3 --audio-quality 64k YgtL4S7Hrwo
[youtube] YgtL4S7Hrwo: Downloading webpage
[download] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm
[download] 100% of 35.72MiB in 00:02
[ffmpeg] Destination: Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.mp3
Deleting original file Guido van Rossum - Python Language - PyCon 2016-YgtL4S7Hrwo.webm (pass -k to keep)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

참고: spapas.github.io/2018/03/06/easy-youtube-mp3-downloading/

 

 

 
 
 
 
 
 
 
 
 
Posted by uniqueone
,

안녕하세요, SLAM 공부하는 장형기입니다.

Roland Siegwart 교수님 랩실에서 Line 기반 place recognition 방식이 새로 나왔습니다. RGB-D 센서로부터 나오는 Visual + Geometric 정보로부터 line을 추출하고, 딥러닝 Attention을 통해 line clustering 및 descriptor 생성을 해주네요.
정확도만 보자면 SIFT + BoW보다는 좋고, SuperPoint + BoW와 비슷합니다. 하지만 NetVLAD에 비해서는 아직 많이 뒤처지는 모습을 보이네요.
Visual Feature가 부족한 산업 환경 등에서 유용하게 쓰일 수 있을 것 같습니다.

논문 링크: https://arxiv.org/pdf/2010.10867.pdf

Posted by uniqueone
,

아래 링크를 참조함. 아래 링크에는 리눅스에 설치하는 방법도 있음

 

github.com/silvanohirtie/youtube-mp3-downloader

 

윈도우 10을 기준으로 설명

 

1. python을 설치한다.

2. 'pip install youtube-dl'로 youtube-dl을 설치한다

3. FFMpeg 윈도우 버전을  ffmpeg.org/download.html#build-windows에서 다운받아 zip파일 압축을 풀면 bin폴더 밑에 ffmpeg.exe, ffplay.exe, ffprobe.exe 파일들이 있는데, 이 파일들을 복사해 파이썬 .py파일을 실행할 폴더에 복사한다.

4. 아래 코드를 파이썬 파일로 저장하여 실행한다.

----------------------------------------------------

 

from __future__ import unicode_literals

import youtube_dl

print("Insert the link")

link = input ("") # 또는 아래와 같이 직접 유튜브 동영상 주소를 파이썬 스크립트 파일에 복사

# link = "https://youtu.be/gRyJZYOEQ9Y"

ydl_opts = {

    'format': 'bestaudio/best',

    'postprocessors': [{

        'key': 'FFmpegExtractAudio',

        'preferredcodec': 'mp3',

        'preferredquality': '320',

    }],

}

with youtube_dl.YoutubeDL(ydl_opts) as ydl:

    ydl.download([link])

----------------------------------------------------

5. 파이썬 스크립트 파일을 실행시키면 스크립트 파일이 있는 폴더에 mp3파일이 다운로드 돼 있다.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Posted by uniqueone
,

pip3 install youtube_dl (O)

conda install youtube_dl (X)

conda install youtube_dl 은 안되는지는 잘 모르겠다.

 
Posted by uniqueone
,

프로그래밍 교육 부트캠프를 운영하며 가장 많이 받는 질문들이 있습니다.
"XX살인데, 지금 부터 해도 가능할까요?"

관련해서 재밌는 글이 번역되어 공유 드립니다.

원글은 아마도 미국의 상황으로 보여지는데요. 국내에선 상황이 다를지 생코 분들의 의견도 궁금합니다.
=== 글 내용 중 ===
얼마나 많은 개발자 지망생들이 자신의 나이에 대해 걱정하고 있는지 알아보기 위해서, Quora에서 비슷한 질문을 쭉 찾아보았다.
예상했듯이, 모든 연령대에 있는 사람들이 코딩을 배우고 개발자로 채용되기 위해서는 나이가 너무 많다고 걱정하는 점을 발견했다.
60살은 나이가 너무 많은가요?
55살은 나이가 너무 많은가요?
50살은 나이가 너무 많은가요?
45살은 나이가 너무 많은가요?
40살은 나이가 너무 많은가요?
35살은 나이가 너무 많은가요?
30살은 나이가 너무 많은가요?
25살은 나이가 너무 많은가요?
20살은 나이가 너무 많은가요?
15살은 나이가 너무 많은가요?
너무 늦었다고 생각하며 패닉하고 있는 사람에게 뭐라고 말해야 할까? 대부분의 사람들은 월트 디즈니의 유명한 말인 “꿈꿀 수 있다면, 할 수 있다! If you can dream it you can do it!”과 비슷한 말을 할 것이다.
===
전체 글 보러 가기 -> https://medium.com/code-states/30%EB%8C%80-40%EB%8C%80-%EA%B7%B8%EB%A6%AC%EA%B3%A0-50%EB%8C%80%EC%97%90-%EA%B0%9C%EB%B0%9C%EC%9E%90%EA%B0%80-%EB%90%9C-300%EB%AA%85%EC%9D%98-%EC%9D%B4%EC%95%BC%EA%B8%B0-e50ef7821a3d

Posted by uniqueone
,

파이참으로 파이썬 코드 실행 중, figure을 여러개 띄울 때, 창을 닫아야만 그 다음 코드로 진행이 되었다. 이것이 불편해 창을 자동으로 닫게 할 수 있었다. 
plt.show(block=False)

plt.pause(1)

plt.close()

 

src: stackoverflow.com/questions/40395659/view-and-then-close-the-figure-automatically-in-matplotlib

 

이렇게 하면 창이 1초 후 닫히게 된다.

 

 

 

 
 
 

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,