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最好不要用相机自带的识别软件裁剪人脸,因为后面的深度学习过程还需要处理。所以,我用 Python 和 OpenCV 编写了一段裁剪人脸图像的脚本,代码在 这里 下载。 偷拍到的人脸图像比我之前设想的更清楚▼
最好不要用相机自带的识别软件裁剪人脸,因为后面的深度学习过程还需要处理。所以,我用Python和OpenCV编写了一段裁剪人脸图像的脚本,代码在这里下载: https://github.com/Hi
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Detection -简单的 人脸检测 API。 OpenCV Face Recognizer -基于 OpenCV(开源计算机视觉库: http://opencv.org )是一个开源的 BSD 授权的库,其中包括数百个计算机视觉算法。
Component Analysis)引入到人脸识别中,是人脸识别最早期最经典的方法,且被人实现,开源在OpenCV了。主页: www.cs.ucsb.edu/~mturk/ CV人物5:David Lowe毕业于斯坦福大学,导师是Thomas
program interfaces for C. [Apache 2.0] OpenCV - Open source computer vision. [BSD] tesseract-ocr - An OCR engine
CV (Computer Vision) 最近在研究CV的一些开源库(OpenCV),有一个体会就是在此领域,除了一些非常学术的 机器学习 , 深度学习 等概念外,其实还有一些很有趣的 现实的 应用场景。比如之前很流行的微软的
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know everything from the levels lower than n . Computer Science 2 n (Level 0) n 2 (Level 1) n (Level 2)
深度视觉:https://github.com/kjw0612/awesome-deep-vision 循环神经网络:https://github.com/kjw0612/awesome-rnn
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有很多案例可以参考。AR引擎有封装好的图像处理,图像识别与跟踪的库,若不采用AR引擎也可使用一些计算机视觉库如OpenCV、FastCV自行编写图像识别与跟踪的函数。 主要AR引擎介绍: 1、 Vuforia 介绍: