===================================== README: Inpainting based PatchMatch ===================================== @Author: Younesse ANDAM @Contact: [email protected] Description: This project is a personal implementation of an algorithm called PATCHMATCH that restores missing areas in an image. The algorithm is presented in the following paper PatchMatch A Randomized Correspondence Algorithm for Structural Image Editing by C.Barnes,E.Shechtman,A.Finkelstein and Dan B.Goldman ACM Transactions on Graphics (Proc. SIGGRAPH), vol.28, aug-2009 For more information please refer to http://www.cs.princeton.edu/gfx/pubs/Barnes_2009_PAR/index.php Copyright (c) 2010-2011 Requirements ============ To run the project you need to install Opencv library and link it to your project. Opencv can be download it here http://opencv.org/downloads.html How to use =========== The project accepts two images 1- The original image 2- The pruned image you can delete a part of interest in the image. The algorithm will patch the remaining image to give a natural result. The project contains some example of images to try it. You may find them in image_files. After choosing the image file, enter the paths of those image files in main.c char fileNameInput[50] = YOUR_PATH_HERE_OF_ORIGINAL_IMAGE; char fileNameMasked[50] = YOUR_PATH_HERE_OF_PRUNED_IMAGE; Enjoy!!
Randomized Correspondence Algorithm for Structural Image Editing
Overview
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
Robust Place Recognition using an Imaging Lidar A place recognition package using high-resolution imaging lidar. For best performance, a lidar equippe
293 Dec 27, 2022
Tensorflow python implementation of "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"
Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos This repository is the official tensorflow python implementation
287 Jan 06, 2023
A large-image collection explorer and fast classification tool
IMAX: Interactive Multi-image Analysis eXplorer This is an interactive tool for visualize and classify multiple images at a time. It written in Python
23 Dec 16, 2022
DISTIL: Deep dIverSified inTeractIve Learning.
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
110 Dec 06, 2022
PyTorch implementation of the ACL, 2021 paper Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks This repo contains the PyTorch implementation of the ACL, 2021 pa
98 Dec 28, 2022
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
pytorch-capsule A Pytorch implementation of Hinton's "Dynamic Routing Between Capsules". https://arxiv.org/pdf/1710.09829.pdf Thanks to @naturomics fo
625 Oct 27, 2022
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
Balloon Learning Environment Docs The Balloon Learning Environment (BLE) is a simulator for stratospheric balloons. It is designed as a benchmark envi
87 Dec 25, 2022
Mouse Brain in the Model Zoo
Deep Neural Mouse Brain Modeling This is the repository for the ongoing deep neural mouse modeling project, an attempt to characterize the representat
15 Aug 22, 2022
Real-time object detection on Android using the YOLO network with TensorFlow
TensorFlow YOLO object detection on Android Source project android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is
624 Jan 03, 2023
Semi-supervised Learning for Sentiment Analysis
Neural-Semi-supervised-Learning-for-Text-Classification-Under-Large-Scale-Pretraining Code, models and Datasets for《Neural Semi-supervised Learning fo
47 Jan 01, 2023
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)
CLIP-ONNX It is a simple library to speed up CLIP inference up to 3x (K80 GPU) Usage Install clip-onnx module and requirements first. Use this trick !
93 Dec 20, 2022
SigOpt wrappers for scikit-learn methods
SigOpt + scikit-learn Interfacing This package implements useful interfaces and wrappers for using SigOpt and scikit-learn together Getting Started In
73 Sep 30, 2022
Learning Compatible Embeddings, ICCV 2021
LCE Learning Compatible Embeddings, ICCV 2021 by Qiang Meng, Chixiang Zhang, Xiaoqiang Xu and Feng Zhou Paper: Arxiv We cannot release source codes pu
25 Dec 17, 2022
PyTorch implementation for ComboGAN
ComboGAN This is our ongoing PyTorch implementation for ComboGAN. Code was written by Asha Anoosheh (built upon CycleGAN) [ComboGAN Paper] If you use
139 Dec 20, 2022
AVD Quickstart Containerlab
AVD Quickstart Containerlab WARNING This repository is still under construction. It's fully functional, but has number of limitations. For example: RE
3 Apr 10, 2022
A collection of loss functions for medical image segmentation
A collection of loss functions for medical image segmentation
3.1k Jan 03, 2023
For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).
IBM Quantum Challenge Africa 2021 To ensure Africa is able to apply quantum computing to solve problems relevant to the continent, the IBM Research La
48 Dec 25, 2022
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
Convolutional Recurrent Neural Network + CTCLoss | STAR-Net Code for paper "Towards Boosting the Accuracy of Non-Latin Scene Text Recognition" Depende
7 Aug 07, 2022
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
SPEC: Seeing People in the Wild with an Estimated Camera [ICCV 2021] SPEC: Seeing People in the Wild with an Estimated Camera, Muhammed Kocabas, Chun-
187 Dec 26, 2022
Vision Transformer for 3D medical image registration (Pytorch).
ViT-V-Net: Vision Transformer for Volumetric Medical Image Registration keywords: vision transformer, convolutional neural networks, image registratio
192 Dec 20, 2022