cs-wzl Goto Github PK

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cs-wzl's Projects

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

awesome_dnn_researchers

We will introduce the researchers who made great contributions to DNNs in the projects.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deepnude_nowatermark_withmodel

DeepNude源码，去水印，带三个模型文件下载地址(cm.lib,mm.lib,mn.lib)，附使用说明，即跑。

A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analysing patterns based on the person's facial textures and shape. [1][better source needed] While initially a form of computer application, it has seen wider uses in recent times on mobile platforms and in other forms of technology, such as robotics. It is typically used as access control in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.[2] Although the accuracy of facial recognition system as a biometric technology is lower than iris recognition and fingerprint recognition, it is widely adopted due to its contactless and non-invasive process.[3] Recently, it has also become popular as a commercial identification and marketing tool.[4] Other applications include advanced human-computer interaction, video surveillance, automatic indexing of images, and video database, among others.

facial-recognition-system

A project to detect and recognize faces from live webcams by comparing with images in database efficiently, by using the Computer Vision library OpenCV

facial-recognition-system-1

A project aimed at Computer Vision, facial recognition system was built in Python using OpenCV. It compares the information with a database of known faces to find a match and identifies the person. This project uses various haarcascade classifiers to detect the object for which it has been trained for