1594 Repositories
Python video-instance-segmentation Libraries
A collection of semantic image segmentation models implemented in TensorFlow
A collection of semantic image segmentation models implemented in TensorFlow. Contains data-loaders for the generic and medical benchmark datasets.
Segment axon and myelin from microscopy data using deep learning
Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.
Segmentation Training Pipeline
Segmentation Training Pipeline This package is a part of Musket ML framework. Reasons to use Segmentation Pipeline Segmentation Pipeline was developed
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation (CVPR2019) This is a pytorch implementatio
Interactive Image Segmentation via Backpropagating Refinement Scheme
Won-Dong Jang and Chang-Su Kim, Interactive Image Segmentation via Backpropagating Refinement Scheme, CVPR 2019
DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper) Authors: Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang PDF:
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video
Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video
The project's goal is to show a real world application of image segmentation using k means algorithm
The project's goal is to show a real world application of image segmentation using k means algorithm
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This
TGS Salt Identification Challenge
TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmentation
Self-Supervised Anomaly Segmentation Intorduction This is a PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmen
OCR-D wrapper for detectron2 based segmentation models
ocrd_detectron2 OCR-D wrapper for detectron2 based segmentation models Introduction Installation Usage OCR-D processor interface ocrd-detectron2-segm
Xbot-Music - Bot Play Music and Video in Voice Chat Group Telegram
XBOT-MUSIC A Telegram Music+video Bot written in Python using Pyrogram and Py-Tg
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Video-Music Transformer
VMT Video-Music Transformer (VMT) is an attention-based multi-modal model, which generates piano music for a given video. Paper https://arxiv.org/abs/
A general python framework for visual object tracking and video object segmentation, based on PyTorch
PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted
TransVTSpotter: End-to-end Video Text Spotter with Transformer
TransVTSpotter: End-to-end Video Text Spotter with Transformer Introduction A Multilingual, Open World Video Text Dataset and End-to-end Video Text Sp
Local-Global Stratified Transformer for Efficient Video Recognition
DualFormer This repo is the implementation of our manuscript entitled "Local-Global Stratified Transformer for Efficient Video Recognition". Our model
All exercises done during the Python 3 course in the Video Course (World 1, 2 and 3)
Python3-cursoemvideo-exercises - All exercises done during the Python 3 course in the Video Course (World 1, 2 and 3)
TikTok - TikTok Bot to download video or audio from TikTok
TikTok - TikTok Bot to download video or audio from TikTok
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
Editor for Bioware's Original Neverwinter Nights Game
neveredit This is an import of an old sourceforge project. Neveredit is an editor for Bioware's Neverwinter Nights game. It also includes all the low
Code for paper: Towards Tokenized Human Dynamics Representation
Video Tokneization Codebase for video tokenization, based on our paper Towards Tokenized Human Dynamics Representation. Prerequisites (tested under Py
A PyTorch implementation of VIOLET
VIOLET: End-to-End Video-Language Transformers with Masked Visual-token Modeling A PyTorch implementation of VIOLET Overview VIOLET is an implementati
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss This is official implement of "
PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r
This repo is for segmentation of T2 hyp regions in gliomas.
T2-Hyp-Segmentor This repo is for segmentation of T2 hyp regions in gliomas. By downloading the model from here you can use it to segment your T2w ima
YouTube-Downloader - YouTube Video Downloader made using python
YouTube-Downloader YouTube Videos Downloder made using python.
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP The implementation of paper CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. CLIP2
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.
Pose Detection Project Description: Human pose estimation from video plays a critical role in various applications such as quantifying physical exerci
An end-to-end project on customer segmentation
End-to-end Customer Segmentation Project Note: This project is in progress. Tools Used in This Project Prefect: Orchestrate workflows hydra: Manage co
Pytorch implementation of Decoupled Spatial-Temporal Transformer for Video Inpainting
Decoupled Spatial-Temporal Transformer for Video Inpainting By Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, J
Use CLIP to represent video for Retrieval Task
A Straightforward Framework For Video Retrieval Using CLIP This repository contains the basic code for feature extraction and replication of results.
IOT: Instance-wise Layer Reordering for Transformer Structures
Introduction This repository contains the code for Instance-wise Ordered Transformer (IOT), which is introduced in the ICLR2021 paper IOT: Instance-wi
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
EMANet News The bug in loading the pretrained model is now fixed. I have updated the .pth. To use it, download it again. EMANet-101 gets 80.99 on the
Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets
The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.
An anime themed telegram bot that can convert telegram media.
ShoukoKomiRobot • 𝕎𝕣𝕚𝕥𝕥𝕖𝕟 𝕀𝕟 Python3 • 𝕃𝕚𝕓𝕣𝕒𝕣𝕪 𝕌𝕤𝕖𝕕 Pyrogram • 𝕊𝕠𝕗𝕥𝕨𝕒𝕣𝕖 𝕌𝕤𝕖𝕕 Ebook-convert Deploy 𝔽𝕠𝕣𝕜 𝕥𝕙𝕚𝕤 𝕣
Play Video & Music on Telegram Group Video Chat
Video Stream is an Advanced Telegram Bot that's allow you to play Video & Music on Telegram Group Video Chat 🧪 Get SESSION_NAME from below: Pyrogram
YOLOPのPythonでのONNX推論サンプル
YOLOP-ONNX-Video-Inference-Sample YOLOPのPythonでのONNX推論サンプルです。 ONNXモデルは、hustvl/YOLOP/weights を使用しています。 Requirement OpenCV 3.4.2 or later onnxruntime 1.
A Blender addon for VSE that auto-adjusts video strip's length, if speed effect is applied.
Blender VSE Speed Adjust Addon When using Video Sequence Editor in Blender, the speed effect strip doesn't auto-adjusts clip length when changing its
A basic neural network for image segmentation.
Unet_erythema_detection A basic neural network for image segmentation. 前期准备 1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中 2.将所有原图 放置在“/dataset_1/JPEGImages/”文件夹
Unsupervised text tokenizer focused on computational efficiency
YouTokenToMe YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast Byte Pair Encoding (BPE)
Multi-query Video Retreival
Multi-query Video Retreival
This is the code for the paper "Motion-Focused Contrastive Learning of Video Representations" (ICCV'21).
Motion-Focused Contrastive Learning of Video Representations Introduction This is the code for the paper "Motion-Focused Contrastive Learning of Video
Code for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
BRATS 2021 Solution For Segmentation Task This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmenta
This is a demo app to be used in the video streaming applications
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks MoViDNN is an Android application that can be used to ev
A Small and Easy approach to the BraTS2020 dataset (2D Segmentation)
BraTS2020 A Light & Scalable Solution to BraTS2020 | Medical Brain Tumor Segmentation (2D Segmentation) Developed the segmentation models for segregat
Best practices for segmentation of the corporate network of any company
Best-practice-for-network-segmentation What is this? This project was created to publish the best practices for segmentation of the corporate network
GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images
GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth This codebase implements the loss function described in: Insta
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation Table of Contents: Introduction Project Structure Installation Datas
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation By Qiang Zhou*, Zilong Huang*, Lichao Huang, Han Shen, Yon
[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation This repository contains the source code for
MaskTrackRCNN for video instance segmentation based on mmdetection
MaskTrackRCNN for video instance segmentation Introduction This repo serves as the official code release of the MaskTrackRCNN model for video instance
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform Performs instance level segmentation detailed in the following paper: Min Bai and Raquel Urtasun, Deep Watershed Transformati
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt
Fully Connected DenseNet for Image Segmentation
Fully Connected DenseNets for Semantic Segmentation Fully Connected DenseNet for Image Segmentation implementation of the paper The One Hundred Layers
OBG-FCN - implementation of 'Object Boundary Guided Semantic Segmentation'
OBG-FCN This repository is to reproduce the implementation of 'Object Boundary Guided Semantic Segmentation' in http://arxiv.org/abs/1603.09742 Object
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
Segmentation from Natural Language Expressions This repository contains the code for the following paper: R. Hu, M. Rohrbach, T. Darrell, Segmentation
Caffe implementation for Hu et al. Segmentation for Natural Language Expressions
Segmentation from Natural Language Expressions This repository contains the Caffe reimplementation of the following paper: R. Hu, M. Rohrbach, T. Darr
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Created by Seunghoon Hong, Junhyuk Oh,
The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.
Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result
Vigia-youtube - The YouTube Watch bot is able to monitor channels on Google's video platform
Vigia do YouTube O bot Vigia do YouTube é capaz de monitorar canais na plataform
GEGVL: Google Earth Based Geoscience Video Library
Google Earth Based Geoscience Video Library is transforming to Server Based. The
Weakly-supervised semantic image segmentation with CNNs using point supervision
Code for our ECCV paper What's the Point: Semantic Segmentation with Point Supervision. Summary This library is a custom build of Caffe for semantic i
Generic Foreground Segmentation in Images
Pixel Objectness The following repository contains pretrained model for pixel objectness. Please visit our project page for the paper and visual resul
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Weakly Supervised Segmentation with TensorFlow This repo contains a TensorFlow implementation of weakly supervised instance segmentation as described
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Semantic Segmentation with SegFormer on Drone Dataset.
SegFormer_Segmentation Semantic Segmentation with SegFormer on Drone Dataset. You can check out the blog on Medium You can also try out the model with
Video stream recording dockerized server using python/ffmpeg.
Stream Recording Server Video stream recording dockerized server using python/ffmpeg. Usage Configuration Prepare .env file, check .env.example for th
Eff video representation - Efficient video representation through neural fields
Neural Residual Flow Fields for Efficient Video Representations 1. Download MPI
YouTube Video publisher using youtube-dl & ROS2🐢
YouTube-publisher-ROS2 Publish sensor_msgs/Image by "YouTube" 🤗 🤗 🤗 ! You don't have to use webcamera or your video to check demos. Purpose Quick d
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
This repository provides the official code for replicating experiments from the paper: Semi-Supervised Semantic Segmentation with Pixel-Level Contrast
PyTorch code for JEREX: Joint Entity-Level Relation Extractor
JEREX: "Joint Entity-Level Relation Extractor" PyTorch code for JEREX: "Joint Entity-Level Relation Extractor". For a description of the model and exp
Labels4Free: Unsupervised Segmentation using StyleGAN
Labels4Free: Unsupervised Segmentation using StyleGAN ICCV 2021 Figure: Some segmentation masks predicted by Labels4Free Framework on real and synthet
Liver segmentation using MONAI and pytorch
Machine Learning use case in the field of Healthcare. In this project MONAI and pytorch frameworks are used for 3D Liver segmentation.
Video Games Web Scraper is a project that crawls websites and APIs and extracts video game related data from their pages.
Video Games Web Scraper Video Games Web Scraper is a project that crawls websites and APIs and extracts video game related data from their pages. This
Depth-Aware Video Frame Interpolation (CVPR 2019)
DAIN (Depth-Aware Video Frame Interpolation) Project | Paper Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang IEEE C
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022) Introdu
A platform which give you info about the newest video on a channel
youtube A platform which give you info about the newest video on a channel. This uses web scraping, a better implementation will be to use the API. BR
ICSS - Interactive Continual Semantic Segmentation
Presentation This repository contains the code of our paper: Weakly-supervised c
Official Implementation of ReferFormer
The official implementation of the paper: Language as Queries for Referring Video Object Segmentation Language as Queries for Referring Video Object S
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
Info This is the code repository of the work Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation from Elias T
Orange Chicken: Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Orange Chicken: Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation This repository contains code and data f
City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces
City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces Paper Temporary GitHub page for City Surfaces paper. More soon! While designing s
prior-based-losses-for-medical-image-segmentation
Repository for papers: Benchmark: Effect of Prior-based Losses on Segmentation Performance: A Benchmark Midl: A Surprisingly Effective Perimeter-based
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items This repository co
Language-Driven Semantic Segmentation
Language-driven Semantic Segmentation (LSeg) The repo contains official PyTorch Implementation of paper Language-driven Semantic Segmentation. Authors
Video lie detector using xgboost - A video lie detector using OpenFace and xgboost
video_lie_detector_using_xgboost a video lie detector using OpenFace and xgboost
YOLOX-CondInst - Implement CondInst which is a instances segmentation method on YOLOX
YOLOX CondInst -- YOLOX 实例分割 前言 本项目是自己学习实例分割时,复现的代码. 通过自己编程,让自己对实例分割有更进一步的了解。 若想
A simple python script and it's used for mp4 type video downloading from youtube.
This is a simple python script and it's used for mp4 type video downloading from youtube. also, it's used inbuilt python module pytube. Furthermore, I know we have so many apps and online websites to do the same thing so it's just an experiment to study how to do those things in python.
In this project, we will be blurring the background in a live video feed
In this project, we will be blurring the background in a live video feed. This can be further integrated into online meetings, streamings etc.
deep learning for image processing including classification and object-detection etc.
深度学习在图像处理中的应用教程 前言 本教程是对本人研究生期间的研究内容进行整理总结,总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。 本教程会以视频的方式进行分享,教学流程如下: 1)介绍网络的结构与创新点 2)使用Pytorch进行网络的搭建与训练 3)使用Te
Jupyter notebook and datasets from the pandas Q&A video series
Python pandas Q&A video series Read about the series, and view all of the videos on one page: Easier data analysis in Python with pandas. Jupyter Note
Course materials and handouts for #100DaysOfCode in Python course
#100DaysOfCode with Python course Course details page: talkpython.fm/100days Course Summary #100DaysOfCode in Python is your perfect companion to take