Milky53

denseflow

Extracting optical flow and frames

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

UMMAFormer

[ACM MM'23] UMMAFormer: A Universal Multimodal-adaptive Transformer Framework For Temporal Forgery Localization

Omni-VideoAssistant

Video QA Assistant based on LLMs with frame convolution

Wav2Lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

UNet-Version

PyDeepFakeDet

PyDeepFakeDet is an integrated and scalable tool for Deepfake detection.

GANDCTAnalysis

Code for the ICML 2020 paper: Leveraging Frequency Analysis for Deep Fake Image Recognition.

Face-X-Ray

An unofficial implementation of Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo: Face X-Ray for More General Face Forgery Detection. CVPR 2020.

F3Net

Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

face-tracking-in-opencv

Robust face tracking technique in OpenCV and dlib. Uses an optimized implementation of Normalized Cross-Correlation (NCC) to track. Runs in ~60fps on CPU.

LAV-DF

[CVIU] Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

poi-forensics

POI-Forensics

Deepfake_detection_using_deep_learning

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

Awesome-Deepfakes-Detection

A list of tools, papers and code related to Deepfake Detection.

deepfake

Deepfakes detection

OmniDataComposer

Java-learning

Java相关知识总结，包括Java基础、MySQL、Springboot、mybatis、Redis、rabbitMQ等等，面试必备！

picx

🏞️ PicX 是一款基于 GitHub API 开发的图床工具，提供图片上传托管、生成图片链接和常用图片工具箱服务。

studentmanager

基于springboot+mybatis学生管理系统

Seckill

🔥🔥🔥 基于 SpringBoot+Mybatis+Redis+RabbitMQ 秒杀系统

eladmin

eladmin jpa 版本：项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

vue-paper-dashboard-nuxt

Vue Paper Dashboard Nuxt

yolov5-deepsparse-blogpost

By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot quantization. Export the sparsified model and run it using the DeepSparse engine at insane speeds. P/S: The end result - YOLOv5 on CPU at 180+ FPS using on

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Real-time-drowning-detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

MARS

MARS: Motion-Augmented RGB Stream for Action Recognition

PaddleVideo

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.