2145 Repositories
Python video-object-segmentation Libraries
LQM - Improving Object Detection by Estimating Bounding Box Quality Accurately
Improving Object Detection by Estimating Bounding Box Quality Accurately Abstract Object detection aims to locate and classify object instances in ima
Face_mosaic - Mosaic blur processing is applied to multiple faces appearing in the video
動機 face_recognitionを使用して得られる顔座標は長方形であり、この座標をそのまま用いてぼかし処理を行った場合得られる画像は醜い。 それに対してモ
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation A Survey on Deep Learning Technique for Video Segmentation Wenguan Wang, Tianfei Zhou, Fati
Applying PVT to Semantic Segmentation
Applying PVT to Semantic Segmentation Here, we take MMSegmentation v0.13.0 as an example, applying PVTv2 to SemanticFPN. For details see Pyramid Visio
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.
Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD
A simple consistency training framework for semi-supervised image semantic segmentation
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation PseudoSeg is a simple consistency training framework for semi-supervised image semantic s
Semi-supervised semantic segmentation needs strong, varied perturbations
Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs
Learning Saliency Propagation for Semi-supervised Instance Segmentation
Learning Saliency Propagation for Semi-supervised Instance Segmentation PyTorch Implementation This repository contains: the PyTorch implementation of
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
SEAM The implementation of Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentaion. You can also download the repos
Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CCT)
Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CCT) Paper, Project Page This repo contains the official implementation of CVPR
Semi-supevised Semantic Segmentation with High- and Low-level Consistency
Semi-supevised Semantic Segmentation with High- and Low-level Consistency This Pytorch repository contains the code for our work Semi-supervised Seman
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
CapsuleVOS This is the code for the ICCV 2019 paper CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. Arxiv Link: https://a
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
USSS_ICCV19 Code for Universal Semi Supervised Semantic Segmentation accepted to ICCV 2019. Full Paper available at https://arxiv.org/abs/1811.10323.
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations The code of: Weakly Supervised Learning of Instance Segmentation with I
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Adversarial Learning for Semi-supervised Semantic Segmentation This repo is the pytorch implementation of the following paper: Adversarial Learning fo
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Weakly- and Semi-Supervised Panoptic Segmentation by Qizhu Li*, Anurag Arnab*, Philip H.S. Torr This repository demonstrates the weakly supervised gro
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018) By Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu and J
Weakly Supervised Segmentation by Tensorflow.
Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Implementation of " SESS: Self-Ensembling Semi-Supervised 3D Object Detection" (CVPR2020 Oral)
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Created by Na Zhao from National University of Singapore Introduction This repository contai
Semi-supervised learning for object detection
Source code for STAC: A Simple Semi-Supervised Learning Framework for Object Detection STAC is a simple yet effective SSL framework for visual object
Weakly-supervised object detection.
Wetectron Wetectron is a software system that implements state-of-the-art weakly-supervised object detection algorithms. Project CVPR'20, ECCV'20 | Pa
CSD: Consistency-based Semi-supervised learning for object Detection
CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019) By Jisoo Jeong, Seungeui Lee, Jee-soo Kim, Nojun Kwak Installation
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Where we are ? 12.27 目前和原论文仍有1%左右得差距,但已经力压很多SOTA了 ckpt__448_epoch_25.pth mIoU
Improving Object Detection by Estimating Bounding Box Quality Accurately
Improving Object Detection by Estimating Bounding Box Quality Accurately Abstrac
Rocks vc Userbot: A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group
⭐️ Rocks VC Userbot ⭐️ Telegram Userbot To Play Audio And Video Song On VC Chat
Youtube video downloader and info extractor for python.
tube_dl Tube_dl is a Simple Youtube video downloader for Python. A Modular approach to bypass and download Youtube Videos and Playlist from Youtube us
Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.
Lunar Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs. About Lunar can be modified to work
Telegram music & video bot direct play music
⚡ NOINOI MUSIC PLAYER 🎵 SUPERFAST MUSIC BOT WHO CAN DIRECT PLAY SONG ON TELEGRAM VOICE CHAT ALSO CAN PLAY VIDEO ON VOICE CHATS ✨ Heroku Deploy YOU CA
A stable and Fast telegram video convertor bot which can compress, convert(video into audio and other video formats), rename with permanent thumbnail and trim.
ᴠɪᴅᴇᴏ ᴄᴏɴᴠᴇʀᴛᴏʀ A stable and Fast telegram video convertor bot which can compress, convert(video into audio and other video formats), rename and trim.
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
ALPRO Align and Prompt: Video-and-Language Pre-training with Entity Prompts [Paper] Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C.H
Intelligent Video Analytics toolkit based on different inference backends.
English | 中文 OpenIVA OpenIVA is an end-to-end intelligent video analytics development toolkit based on different inference backends, designed to help
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
SAFA: Structure Aware Face Animation (3DV2021) Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation. Getting Started
In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.
模式识别大作业——人脸检测与识别平台 本项目是一个简易的人脸检测识别平台,提供了人脸信息录入和人脸识别的功能。前端采用 html+css+js,后端采用 pytorch,
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
This is the code for the paper: MSeg: A Composite Dataset for Multi-domain Semantic Segmentation (CVPR 2020, Official Repo) [CVPR PDF] [Journal PDF] J
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
Contrastive learning of global and local features for medical image segmentation with limited annotations The code is for the article "Contrastive lea
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs Code for paper Unsupervised Learning of Video Representations using LSTMs by Nitish Srivast
Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework Official code for paper, Self-supervised Video Representation Le
Implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
PRP Introduction This is the implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction
Video_Pace This repository contains the code for the following paper: Jiangliu Wang, Jianbo Jiao and Yunhui Liu, "Self-Supervised Video Representation
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Video Representation Learning by Recognizing Temporal Transformations [Project Page] Simon Jenni, Givi Meishvili, and Paolo Favaro. In ECCV, 2020. Thi
[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.
CoCLR: Self-supervised Co-Training for Video Representation Learning This repository contains the implementation of: InfoNCE (MoCo on videos) UberNCE
[arXiv 2020] Video Representation Learning with Visual Tempo Consistency
Video Representation Learning with Visual Tempo Consistency [Paper] [Project Page] News Full codebae is coming soon Pretained Models For now, we provi
Official Pytorch implementation for AAAI2021 paper (RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning)
RSPNet Official Pytorch implementation for AAAI2021 paper "RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning" [Suppleme
Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)
Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR 2019) To make better use of given limited labels, we propo
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
AdaFocusV2 This repo contains the official code and pre-trained models for AdaFo
Autonomous Perception: 3D Object Detection with Complex-YOLO
Autonomous Perception: 3D Object Detection with Complex-YOLO LiDAR object detect
Python package to display video in GUI using OpenCV-Python and PySide6
Python package to display video in GUI using OpenCV-Python and PySide6. Introduction cv2PySide6 is a package which provides utility classes and functi
Asad Alexa VC Bot Is A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group.
Asad Alexa VC Bot Is A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group.
Telegram music & video bot direct play music
Telegram music & video bot direct play music
A cross platform front-end GUI of the popular youtube-dl written in wxPython.
youtube-dlG A cross platform front-end GUI of the popular youtube-dl media downloader written in wxPython. Supported sites Screenshots Requirements Py
XViT - Space-time Mixing Attention for Video Transformer
XViT - Space-time Mixing Attention for Video Transformer This is the official implementation of the XViT paper: @inproceedings{bulat2021space, title
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
Tkinter based YouTube video downloader works on pytube 11.0.2. Can download YouTube videos in 720p(HD), 144p and even only audio.
YouTube-Downloader Tkinter based YouTube video downloader works on pytube 11.0.2. Can download YouTube videos in 720p(HD), 144p and even only audio. G
FingerPy is a algorithm to measure, analyse and monitor heart-beat using only a video of the user's finger on a mobile cellphone camera.
FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m
python based bot Sends notification to your telegram whenever a new video is released on a youtube channel!
YTnotifier python based bot Sends notification to your telegram whenever a new video is released on a youtube channel! REQUIREMENTS telethon python-de
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang *, Zhenyu Jiang *, Zhenda Xie *, Yue
code of paper „Unknown Object Segmentation from Stereo Images“, IROS 2021
Unknown Object Segmentation from Stereo Images Unknown Object Segmentation from Stereo Images Maximilian Durner*, Wout Boerdijk*, Martin Sundermeyer,
Class and mathematical functions for quaternion numbers.
Quaternions Class and mathematical functions for quaternion numbers. Installation Python This is a Python 3 module. If you don't have Python installed
An easy to use GUI based video to image sequence converter (and vice versa).
Vdo & Img Conversion Tools This is a quick conversion tool made with python that can save you a lot of time. With this tool you can extract image sequ
Various operations like path tracking, counting, etc by using yolov5
Object-tracing-with-YOLOv5 Various operations like path tracking, counting, etc by using yolov5
*ObjDetApp* deploys a pytorch model for object detection
*ObjDetApp* deploys a pytorch model for object detection
The object detection pipeline is based on Ultralytics YOLOv5
AYOLOv2 The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptabil
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab
VQGAN-CLIP-Video cat.mp4 policeman.mp4 schoolboy.mp4 forsenBOG.mp4
PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the
BisQue is a web-based platform designed to provide researchers with organizational and quantitative analysis tools for 5D image data. Users can extend BisQue by implementing containerized ML workflows.
Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D
Telegram bot for stream music or video on telegram
KYURA MUSIC Telegram bot for stream music or video on telegram, powered by PyTgCalls and Pyrogram Help Need Help me to translate this repo, click the
ElasticSearch ODM (Object Document Mapper) for Python - pip install esengine
esengine - The Elasticsearch Object Document Mapper esengine is an ODM (Object Document Mapper) it maps Python classes in to Elasticsearch index/doc_t
Python implementation of the Javascript Object Signing and Encryption (JOSE) framework
Python implementation of the Javascript Object Signing and Encryption (JOSE) framework
Object-data mapper and advanced query manager for non relational databases
Object data mapper and advanced query manager for non relational databases. The data is owned by different, configurable back-end databases and it is
Object mapper for Amazon's DynamoDB
Flywheel Build: Documentation: http://flywheel.readthedocs.org/ Downloads: http://pypi.python.org/pypi/flywheel Source: https://github.com/stevearc/fl
A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks
A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks Please follow Faster R-CNN and DAF to complete the enviro
A Pytorch Implementation of [Source data‐free domain adaptation of object detector through domain
A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and
Implementation for Learning to Track with Object Permanence
Learning to Track with Object Permanence A video-based MOT approach capable of tracking through full occlusions: Learning to Track with Object Permane
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation by Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zh
SeMask: Semantically Masked Transformers for Semantic Segmentation.
SeMask: Semantically Masked Transformers Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi This repo co
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun
Image Segmentation Animation using Quadtree concepts.
QuadTree Image Segmentation Animation using QuadTree concepts. Usage usage: quad.py [-h] [-fps FPS] [-i ITERATIONS] [-ws WRITESTART] [-b] [-img] [-s S
Automatically segment in-video YouTube sponsorships.
SponsorBlock Auto Segment [Model Download] Automatically segment in-video YouTube sponsorships. Trained on a large dataset of YouTube sponsor transcri
🐥Flappy Birds🐤 Video game. With your help I can go through🚀 the pipes. All UI is made with 🐍Pygame🐍
🐠 Flappy Fish 🐢 I am Flappy Fish 🐟 . With your help I can jump through the pipes and experience an interesting and exciting flight deep into the fi
Official Implementation of VAT
Semantic correspondence Few-shot segmentation Cost Aggregation Is All You Need for Few-Shot Segmentation For more information, check out project [Proj
OBBDetection: an oriented object detection toolbox modified from MMdetection
OBBDetection note: If you have questions or good suggestions, feel free to propose issues and contact me. introduction OBBDetection is an oriented obj
Create a Video Membership app using FastAPI & NoSQL
Video Membership Create a Video Membership app using FastAPI & NoSQL. In this series, we're going to explore building a membership application using F
Python document object mapper (load python object from JSON and vice-versa)
lupin is a Python JSON object mapper lupin is meant to help in serializing python objects to JSON and unserializing JSON data to python objects. Insta
Pymox - open source mock object framework for Python
Pymox is an open source mock object framework for Python. First Steps Installation Tutorial Documentation http://pymox.readthedocs.io/en/latest/index.
Imports an object based on a string import_string('package.module:function_name')() - Based on werkzeug.utils
DEPRECATED don't use it. Please do: import importlib foopath = 'src.apis.foo.Foo' module_name = '.'.join(foopath.split('.')[:-1]) # to get src.apis.f
objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphism
py-object-factory objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphis
Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.
Sieve Video Data Collection Example Find samples that are interesting within hours of raw video, for free and completely automatically using Sieve API
A Simple YouTube Video Downloader With Python
Simple YouTube Video Downloader Simple YouTube Video Downloader is an open source project with a very simple UI that tries to speed up the process of
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
DMT: Dynamic Mutual Training for Semi-Supervised Learning This repository contains the code for our paper DMT: Dynamic Mutual Training for Semi-Superv
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
[ECCV20] Content-Consistent Matching for Domain Adaptive Semantic Segmentation This is a PyTorch implementation of CCM. News: GTA-4K list is available
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban
Customer Segmentation using RFM
Customer-Segmentation-using-RFM İş Problemi Bir e-ticaret şirketi müşterilerini segmentlere ayırıp bu segmentlere göre pazarlama stratejileri belirlem
Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation.
PersonLab This is a Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation. The model predicts heatmaps and vari
PyTorch implementation of Super SloMo by Jiang et al.
Super-SloMo PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun
Official code repository for ICCV 2021 paper: Gravity-Aware Monocular 3D Human Object Reconstruction
GraviCap Official code repository for ICCV 2021 paper: Gravity-Aware Monocular 3D Human Object Reconstruction. Gravity-Aware Monocular 3D Human-Object
This repository contains the code used in the paper "Prompt-Based Multi-Modal Image Segmentation".
Prompt-Based Multi-Modal Image Segmentation This repository contains the code used in the paper "Prompt-Based Multi-Modal Image Segmentation". The sys
Official repository for "Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring".
RNN-MBP Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring (AAAI-2022) by Chao Zhu, Hang Dong, Jinshan Pan
Level Based Customer Segmentation
level_based_customer_segmentation Level Based Customer Segmentation Persona Veri Seti kullanılarak müşteri segmentasyonu yapılmıştır. KOLONLAR : PRICE