- Machine Learning for OpenCV
- Michael Beyeler
- 98字
- 2021-07-02 19:47:15
Installation
Before we get started, let's make sure that we have all the tools and libraries installed that are necessary to create a fully functioning data science environment. After downloading the latest code for this book from GitHub, we are going to install the following software:
- Python's Anaconda distribution, based on Python 3.5 or higher
- OpenCV 3.1 or higher
- Some supporting packages
Don't feel like installing stuff? You can also visit http://beta.mybinder.org/v2/gh/mbeyeler/opencv-machine-learning/master, where you will find all the code for this book in an interactive, executable environment and 100% free and open source, thanks to the Binder project.
推薦閱讀
- Vue.js 3.x快速入門
- 從零開始:數字圖像處理的編程基礎與應用
- The Android Game Developer's Handbook
- Web開發的貴族:ASP.NET 3.5+SQL Server 2008
- Python金融數據分析
- Flash CS6中文版應用教程(第三版)
- 精通Python自動化編程
- 區塊鏈底層設計Java實戰
- 蘋果的產品設計之道:創建優秀產品、服務和用戶體驗的七個原則
- Learning AWS
- Python計算機視覺和自然語言處理
- Fastdata Processing with Spark
- HTML5移動前端開發基礎與實戰(微課版)
- Java多線程并發體系實戰(微課視頻版)
- INSTANT Premium Drupal Themes