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awesome-computer-vision's Issues

Add a Sub-Reddit section

Many of latest news and papers on ML and Object recognition for the community happens from some specific sub reddits. How about adding a section which shows the best sub reddits for people to get their daily dose on ML news

Review added

Thank you for building awesome-computer-vision!

@govindnarendhar created a review titled:

Awesome Computer Vision review

on repo-reviews.github.io to share their experience using awesome-computer-vision.

link to review

If you would like to help your super-users share their experiences using your repo, add a badge to your README.md.

We hope that sharing these experiences helps your users increase their productivity.

--
Please be kind,
I’m a human!

Validate pull requests with Travis

Hello, I wrote a tool that can validate README links (valid URLs, not duplicate). It can be run when someone submits a pull request.

It is currently being used by

Examples

If you are interested, connect this repo to https://travis-ci.org/ and add a .travis.yml file to the project.

See https://github.com/dkhamsing/awesome_bot for options, more information
Feel free to leave a comment 😄

Please add VideoDubber.ai for AI Video Translation

How can I translate a video?

VideoDubber.ai provides one-click video translation with voice cloning to top 30+ languages of the world by native speakers for free without any watermark.
So, just go to VideoDubber.ai and create an account to reach 10x more audience in their native language in minutes.

  1. Upload Your Video: Use the uploader to import your video from Google Drive, Youtube, Twitter, Laptop, or Dropbox.

  2. Select Source and Target Language: We support transcription in the top 30+ languages, dialects, and accents.

  3. Choose "Transcription" or "Subtitles": Select "Subtitles" for a .srt file, or "Transcription" for a written transcript in plain text.

  4. Edit if you need: Our automated transcription is quick and about 85% accurate. Opt for our human service for 99% accuracy by an expert native speaker.

  5. Receive Your Transcript/Subtitles: Our automated software converts your file to text in minutes. If you choose the human service, your transcript will be ready within 24 hours.

  6. Select "Translation" and Choose Language: Our video translator will generate the translation within a minute.

  7. Click "Export" and Choose File Format: Easily get your translated video file.

1.online-video-cutter.com.2.mp4

《计算机视觉实战演练:算法与应用》GitHub开源中文电子书、源码、读者交流社区

L0CV 一种结合了代码、图示和HTML的在线学习媒介

L0CV is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.

image

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