Stars
The official code for "Contrastive Pedestrian Attentive and Correlation Learning Network for Occluded Person Re-Identification".
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
Redisson - Valkey & Redis Java client. Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue,…
The java implementation of Apache Dubbo. An RPC and microservice framework.
Netty project - an event-driven asynchronous network application framework
Attribute-Object Visual Composition using Attributes as Operators
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
awesome grounding: A curated list of research papers in visual grounding
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Unsupervised clustering with (Gaussian mixture) VAEs
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
How to do Unsupervised Clustering with Keras
Deep Clustering for Unsupervised Learning of Visual Features
Using Color Histogram, SVD and Dynamic Clustering Method obtained Key-Frames from a video. This analysis can be used to identify frames which make a shot. The code is well documented.
Key frames extraction in traffic videos using K-Means
This is the official implementation for ECCV20 paper: Key Frame Proposal Network for Efficient Pose Estimation in Videos
It is a simple python tool to extract key-frames from a video file using peak estimation from frame difference.
This repository contains script to divide a video into key frames.
Temporal Moment(Action) Localization via Language / Temporal Language Grounding / Video Moment Retrieval