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Update documentation links

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This commit is contained in:
Oleg Kalachev
2020-05-01 00:39:38 +03:00
parent a665caeea3
commit 387d2c2341
17 changed files with 30 additions and 26 deletions
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docs/en/contributing.md
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@@ -91,7 +91,7 @@ Prepare your article and send it as a pull request to the [Clover repository](ht
<img src="../assets/github-pull-request-create.png" alt="GitHub Create Pull">
10. Wait for the review, be ready to make changes if needed.
11. Look at your new and useful article at https://clever.coex.tech !
11. Look at your new and useful article at https://clover.coex.tech !
## Easy way

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docs/en/human_pose_estimation_drone_control.md
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@@ -31,7 +31,7 @@ Before you test it you need to install on your laptop:
- Install Nodejs from [here](https://nodejs.org/en/download/). For [Ubuntu installation](https://tecadmin.net/install-latest-nodejs-npm-on-ubuntu/)
- Install Yarn package manager from [here](https://yarnpkg.com/lang/en/docs/install/). [Usual problem](https://github.com/yarnpkg/yarn/issues/3189) while installing and using yarn with Ubuntu.
- Have an experience in manual control on the drone in case of any weird behavior happen.
- Worked before with COEX drones, if this is your first time to work with COEX drones check [this](https://clever.coex.tech/en/).
- Worked before with COEX drones, if this is your first time to work with COEX drones check [this](https://clover.coex.tech/en/).
and you are ready to build and use the required codes.
@@ -145,7 +145,7 @@ Animation is created by [this](https://justsketchme.web.app/)
## References
- [Human pose estimation guide](https://blog.nanonets.com/human-pose-estimation-2d-guide/)
- [Clover drones tutorials](https://clever.coex.tech/en/)
- [Clover drones tutorials](https://clover.coex.tech/en/)
- [Posenet GitHub repo](https://github.com/tensorflow/tfjs-models/tree/master/posenet)
- [Posenet meduim article](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
- [Tensorflow.js demos](https://www.tensorflow.org/js/demos)

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docs/ru/contributing.md
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@@ -91,7 +91,7 @@
<img src="../assets/github-pull-request-create.png" alt="GitHub Create Pull">
10. Дождитесь комментариев на свою статью, сделайте правки, если потребуется.
11. Порадуйтесь своей новой полезной статье, опубликованной на https://clever.coex.tech !
11. Порадуйтесь своей новой полезной статье, опубликованной на https://clover.coex.tech !
## Простой способ

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docs/ru/human_pose_estimation_drone_control.md
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@@ -9,7 +9,7 @@
## Ссылки на литературу
- [Руководство по оценке позы человека](https://blog.nanonets.com/human-pose-estimation-2d-guide/)
- [Умные беспилотники учебники](https://clever.coex.tech/en/)
- [Умные беспилотники учебники](https://clover.coex.tech/en/)
- [Posnet GitHub РЕПО](https://github.com/tensorflow/tfjs-models/tree/master/posenet)
- [Posnet Medium артикул](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
- [Tensorflow.js Демонстрация](https://www.tensorflow.org/js/demos)

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docs/ru/metodmaterials.md
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@@ -46,7 +46,7 @@
* [Инструкция по сборке.](assemble_3.md)
* [Инструкция по настройке.](setup.md)
* [Проверочные задания.](tests.md)
* Информационные материалы на сайте https://clever.coex.tech.
* Информационные материалы на сайте https://clover.coex.tech.
## Промежуточный контроль