1515 Repositories
Python video-polyp-segmentation Libraries
Official PyTorch implementation of "Dual Path Learning for Domain Adaptation of Semantic Segmentation".
Dual Path Learning for Domain Adaptation of Semantic Segmentation Official PyTorch implementation of "Dual Path Learning for Domain Adaptation of Sema
Code for Domain Adaptive Video Segmentation via Temporal Consistency Regularization in ICCV 2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization Updates 08/2021: check out our domain adaptation for sematic segmentation p
Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
Implementation of Cross-category Video Highlight Detection via Set-based Learning (ICCV 2021).
Cross-category Video Highlight Detection via Set-based Learning Introduction This project is an implementation of ``Cross-category Video Highlight Det
A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition The source codes for ICCV2021 Paper: Spatio-Temporal Dynamic Inference Networ
End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)
PDVC Official implementation for End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021) [paper] [valse论文速递(Chinese)] This repo supports:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)
Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y
Code for the paper "Reinforced Active Learning for Image Segmentation"
Reinforced Active Learning for Image Segmentation (RALIS) Code for the paper Reinforced Active Learning for Image Segmentation Dependencies python 3.6
Video Stream: an Advanced Telegram Bot that's allow you to play Video & Music on Telegram Group Video Chat
Video Stream is an Advanced Telegram Bot that's allow you to play Video & Music
3D2Unet: 3D Deformable Unet for Low-Light Video Enhancement (PRCV2021)
3DDUNET This is the code for 3D2Unet: 3D Deformable Unet for Low-Light Video Enhancement (PRCV2021) Conference Paper Link Dataset We use SMOID dataset
Video-to-GIF-Converter - A small code snippet that can be used to convert any video to a gif
Video to GIF Converter Project Description: This is a small code snippet that ca
Video Bot: an Advanced Telegram Bot that's allow you to play Video & Music on Telegram Group Video Chat
Video Bot is an Advanced Telegram Bot that's allow you to play Video & Music on
Code for the Lovász-Softmax loss (CVPR 2018)
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks Maxim Berman, Amal Ranne
Automatic 2D-to-3D Video Conversion with CNNs
Deep3D: Automatic 2D-to-3D Video Conversion with CNNs How To Run To run this code. Please install MXNet following the official document. Deep3D requir
Automagically synchronize subtitles with video.
FFsubsync Language-agnostic automatic synchronization of subtitles with video, so that subtitles are aligned to the correct starting point within the
Bunch of different tools which helps visualizing and annotating images for semantic/instance segmentation tasks
Data Framework for Semantic/Instance Segmentation Bunch of different tools which helps visualizing, transforming and annotating images for semantic/in
This is a Telegram video compress bot repo. By Binary Tech💫
This is a Telegram Video Compress Bot. Prouduct By Binary Tech 💫 Features Compresse videos and generate screenshots too.You can set custom video name
This is a Telegram video compress bot repo. By Binary Tech💫
This is a Telegram Video Compress Bot. Prouduct By Binary Tech 💫 Features Compresse videos and generate screenshots too.You can set custom video name
U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch
U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical
Cvplayer - A simple video player written in python using ffpyplayer and OpenCV
Video Player cvplayer is a minimal wrapper around the ffpyplayer.MediaPlayer cla
MoCoPnet - Deformable 3D Convolution for Video Super-Resolution
Deformable 3D Convolution for Video Super-Resolution Pytorch implementation of l
Solution of Kaggle competition: Sartorius - Cell Instance Segmentation
Sartorius - Cell Instance Segmentation https://www.kaggle.com/c/sartorius-cell-instance-segmentation Environment setup Build docker image bash .dev_sc
Streamlit tool to explore coco datasets
What is this This tool given a COCO annotations file and COCO predictions file will let you explore your dataset, visualize results and calculate impo
This is a TG Video Compress BoT. Product by BINARY Tech
🌀 Video Compressor Bot Product by BINARY Tech Deploy to Heroku The Hard Way virtualenv -p python3 VENV . ./VENV/bin/activate pip install -r requireme
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
urban_road_filter: a real-time LIDAR-based urban road and sidewalk detection algorithm for autonomous vehicles Dependency ROS (tested with Kinetic and
Referring Video Object Segmentation
Awesome-Referring-Video-Object-Segmentation Welcome to starts ⭐ & comments 💹 & sharing 😀 !! - 2021.12.12: Recent papers (from 2021) - welcome to ad
Meteor scan - Scan through video for meteor
meteor_scan Scan through video for meteor Installation Install python packages b
Zsseg.baseline - Zero-Shot Semantic Segmentation
This repo is for our paper A Simple Baseline for Zero-shot Semantic Segmentation
ReferFormer - Official Implementation of ReferFormer
The official implementation of the paper: Language as Queries for Referring Vide
Image Segmentation with U-Net Algorithm on Carvana Dataset using AWS Sagemaker
Image Segmentation with U-Net Algorithm on Carvana Dataset using AWS Sagemaker This is a full project of image segmentation using the model built with
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech 💫
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech 💫
Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation".
I2V-GAN This repository is the official Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation". Traffic
Official pytorch implementation of the AAAI 2021 paper Semantic Grouping Network for Video Captioning
Semantic Grouping Network for Video Captioning Hobin Ryu, Sunghun Kang, Haeyong Kang, and Chang D. Yoo. AAAI 2021. [arxiv] Environment Ubuntu 16.04 CU
PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning PyTorch code for our ACL 2020 paper "MART: Memory-Augmented Recur
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
Awesome-Visual-Captioning Table of Contents ACL-2021 CVPR-2021 AAAI-2021 ACMMM-2020 NeurIPS-2020 ECCV-2020 CVPR-2020 ACL-2020 AAAI-2020 ACL-2019 NeurI
Image segmentation with private İstanbul Dataset
Image Segmentation This repo was created for academic research and test result. Repo will update after academic article online. This repo contains wei
Stinky ID - A stable pluggable Telegram userbot + Voice & Video Call music bot, based on Telethon
Ultroid - UserBot A stable pluggable Telegram userbot + Voice & Video Call music
Tensorflow implementation of soft-attention mechanism for video caption generation.
SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Mall-Customers-Segmentation - Customer Segmentation Using K-Means Clustering
Overview Customer Segmentation is one the most important applications of unsupervised learning. Using clustering techniques, companies can identify th
Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player 🔥 ᴢᴀɪᴅ ᴠᴄ ᴘʟᴀyᴇʀ ɪꜱ ᴀ ᴛᴇʟᴇɢʀᴀᴍ ᴘʀᴏᴊᴇᴄᴛ ʙᴀꜱᴇᴅ ᴏɴ ᴘʏʀᴏɢʀᴀᴍ ꜰᴏʀ ᴘʟᴀʏ ᴍᴜꜱɪᴄꜱ ɪɴ ᴠᴄ ᴄʜᴀᴛꜱ... 🅡🅔🅟🅞 🅢🅣🅐🅣🅢 ʀᴇQᴜɪʀᴇᴍᴇɴᴛꜱ 📝 FFmpeg NodeJ
Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 50+ Papers across Computer Visio
UnpNet - Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)
UnpNet Citation Please cite the following paper if you use this repository in your reseach. @article {PMID:34914599, Title = {Rethinking 3-D LiDAR Po
A video scene detection algorithm is designed to detect a variety of different scenes within a video
Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.
DIP-football - A football video analyse system based on Yolov5, alphapose, Qt6
足球视频分析系统 作者 陆徐东 [email protected] 方天宬 [email protected] 简介 本项目是SJTU 21-22学年CS386 数字图像处理课程的大作业,本文是足球视频分析系统的参考文档。我们主要实现了以下功能: 基于Yolo v5和PastaNet搭建了足球视频的
Doods2 - API for detecting objects in images and video streams using Tensorflow
DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b
Video-Player - Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player 🔥 ᴢᴀɪᴅ ᴠᴄ ᴘʟᴀyᴇʀ ɪꜱ ᴀ ᴛᴇʟᴇɢʀᴀᴍ ᴘʀᴏᴊᴇᴄᴛ ʙᴀꜱᴇᴅ ᴏɴ ᴘʏʀᴏɢʀᴀᴍ ꜰᴏʀ ᴘʟᴀʏ
BraTs-VNet - BraTS(Brain Tumour Segmentation) using V-Net
BraTS(Brain Tumour Segmentation) using V-Net This project is an approach to dete
Ffmpeg videostream - High speed video frame access in Python, using FFmpeg and FFshow
FFmpeg VideoStream High speed video frame access in Python, using FFmpeg and FFshow This script requires: Karl Kroening's 'ffmpeg-python' library. (ht
Video stream image stacking -- live version
video stream image stacking v2 -- live version A very simple streamed video image stacking code! Version 2.1 left mouse click to select a small region
𝐴 𝑡𝑒𝑙𝑒𝑔𝑟𝑎𝑚 𝑏𝑜𝑡 𝑡ℎ𝑎𝑡 𝑐𝑎𝑛 𝑑𝑜𝑤𝑛𝑙𝑜𝑎𝑑 𝑣𝑖𝑑𝑒𝑜 𝑎𝑛𝑑 𝑎𝑢𝑑𝑖𝑜 𝑓𝑟𝑜𝑚 𝑦𝑜𝑢𝑡𝑢𝑏𝑒 𝑎𝑛𝑑 𝑣𝑖𝑑𝑒𝑜 𝑤𝑒𝑏𝑠𝑖𝑡𝑒𝑠 𝑞𝑢𝑖𝑐𝑘𝑙𝑦
𝐴 𝑡𝑒𝑙𝑒𝑔𝑟𝑎𝑚 𝑏𝑜𝑡 𝑡ℎ𝑎𝑡 𝑐𝑎𝑛 𝑑𝑜𝑤𝑛𝑙𝑜𝑎𝑑 𝑣𝑖𝑑𝑒𝑜 𝑎𝑛𝑑 𝑎𝑢𝑑𝑖𝑜 𝑓𝑟𝑜𝑚 𝑦𝑜𝑢𝑡𝑢𝑏𝑒 𝑎𝑛𝑑 𝑣𝑖𝑑𝑒𝑜 𝑤𝑒𝑏𝑠𝑖𝑡𝑒𝑠 𝑞𝑢𝑖𝑐𝑘𝑙𝑦
Pytorch-3dunet - 3D U-Net model for volumetric semantic segmentation written in pytorch
pytorch-3dunet PyTorch implementation 3D U-Net and its variants: Standard 3D U-Net based on 3D U-Net: Learning Dense Volumetric Segmentation from Spar
Snake - Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
Good news! Snake algorithms exhibit state-of-the-art performances on COCO dataset: DANCE Deep Snake for Real-Time Instance Segmentation Deep Snake for
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.
Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.
Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta
Autosub - Command-line utility for auto-generating subtitles for any video file
Auto-generated subtitles for any video Autosub is a utility for automatic speech recognition and subtitle generation. It takes a video or an a
Repositório criado para abrigar os notebooks com a listas de exercícios propostos pelo professor Gustavo Guanabara do canal Curso em Vídeo do YouTube durante o Curso de Python 3
Curso em Vídeo - Exercícios de Python 3 Sobre o repositório Este repositório contém os notebooks com a listas de exercícios propostos pelo professor G
Videocaptioning.pytorch - A simple implementation of video captioning
pytorch implementation of video captioning recommend installing pytorch and pyth
🐾 Semantic segmentation of paws from cute pet images (PyTorch)
🐾 paw-segmentation 🐾 Semantic segmentation of paws from cute pet images 🐾 Semantic segmentation of paws from cute pet images (PyTorch) 🐾 Paw Segme
YouTube-Video-Downloader - Download Youtube Videos for free.
YouTube-Video-Downloader Download Youtube Videos for free. Installing Dependencies:- Windows pip install pytube Mac/Linux pip3 install pytube Clonin
MultiTaskLearning - Multi Task Learning for 3D segmentation
Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin
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).
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
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
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
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
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
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