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-opencv- icon -opencv-

本项目是基于OpenCV的人脸识别技术,将一个完整的视频中自己想要了解的某个具体的人物片段,通过将视频分割成帧并且训练需要提取人物的面部特征,通过主成分分析算法进行人脸模型清洗并通过特征脸算法进行人脸识别,将该人物从视频中识别出来并将他的片段提取出来,组合成专属个人的视频剪辑,项目完成后,本产品可以使人们节省大量的时间从大量的视频片段中快速的了解自己想要了解的人物,还可以应用在监控的锁定人物中,就如《速度与激情》影片中通过天眼来快速找到某人的效果一样,快速的查找到某个人在一段时间内的全部活动。 ———————————————— 版权声明:本文为CSDN博主「CSDNFly1」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。

0dte-trader icon 0dte-trader

Trade 0DTE options algorithmically using Interactive Brokers (IBKR) API.

across icon across

Across the Great Wall we can reach every corner in the world

agentgpt icon agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

ai-art-generator icon ai-art-generator

For automating the creation of large batches of AI-generated artwork locally.

aisuperstar icon aisuperstar

资深大牛让你的视频轻松换脸,无论你想干什么。deepfake,faceswap,deepfacelab,anything you want

apollo-11 icon apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

autochat icon autochat

微信自动回复的小程序,需要先关注小冰公众号

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autorosvpn icon autorosvpn

RouterOS and China IP address list (chnroutes.txt)

autosub icon autosub

Command-line utility to transcribe/translate from video/audio/subtitles to subtitles

c icon c

Implementation of All ▲lgorithms in C Programming Language

chatglm-6b icon chatglm-6b

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

civitai icon civitai

A repository of models, textual inversions, and more

clairvoyant icon clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

cloudflarespeedtest icon cloudflarespeedtest

🌩「自选优选 IP」测试 Cloudflare CDN 延迟和速度,获取最快 IP !当然也支持其他 CDN / 网站 IP ~

cm7b5 icon cm7b5

The half diminished C compiler tutorial. x86 32 bit assembly, BSD license

coconlp icon coconlp

A Chinese information extraction tool.

consingan icon consingan

Official PyTorch implementation of "Improved Techniques for Training Single-Image GANs"

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