OpenCV培訓

OpenCV培訓

通過互動討論和實踐練習如何利用OpenCV進行計算機視覺項目,本地,有指導的實時OpenCV(開源計算機視覺庫)培訓課程將展示。 OpenCV培訓可作為“現場實時培訓”或“遠程實時培訓”。現場實地培訓可在當地客戶所在地進行台灣或者在NobleProg公司的培訓中心台灣 。遠程實時培訓通過交互式遠程桌面進行。 NobleProg您當地的培訓提供商。

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OpenCV課程大綱

課程名稱
課程時長
概觀
課程名稱
課程時長
概觀
28小時
概觀
OpenCV (開源Computer視覺庫:http://opencv.org)是一個開源的BSD許可庫,包含數百種計算機視覺算法。

聽眾

本課程面向尋求將OpenCV用於計算機視覺項目的工程師和建築師
14小時
概觀
OpenCV is a library of programming functions for deciphering images with computer algorithms. OpenCV 4 is the latest OpenCV release and it provides optimized modularity, updated algorithms, and more. With OpenCV 4 and Python, users will be able to view, load, and classify images and videos for advanced image recognition.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.

By the end of this training, participants will be able to:

- View, load, and classify images and videos using OpenCV 4.
- Implement deep learning in OpenCV 4 with TensorFlow and Keras.
- Run deep learning models and generate impactful reports from images and videos.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
21小時
概觀
這個有指導意義的實時培訓介紹了從零開始構建面部識別系統所需的軟件,硬件和分步驟過程。面部識別也被稱爲人臉識別。 本實驗中使用的硬件包括Rasberry Pi,相機模塊,舵機(可選)等。參與者負責自行購買這些組件。使用的軟件包括OpenCV,Linux,Python等。 在培訓結束後,參與者將能夠: 在Rasberry Pi上安裝Linux,OpenCV和其他軟件實用程序和庫。 配置OpenCV以捕獲和檢測面部圖像。 了解將Rasberry Pi系統打包用于實際環境的各種選項。 使系統適應各種用例,包括監視,身份驗證等。 聽衆 開發商硬件/軟件技術人員所有行業的技術人員愛好者 課程的格式 部分講座,部分討論,練習和沈重的練習 注意 其他硬件和軟件選項包括:Arduino,OpenFace,Windows等。如果您想使用其中的任何一種,請聯系我們安排。

近期OpenCV培訓課程

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