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Jack-bo1220 / MSResNet Via SSLMSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery
AarambhDevHub / Exam Cheating DetectionAI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.
jojo1317 / Git Quick Reference For BeginnersThere are many good resources for learning Git. (Here's an excellent online book, and this is my videos series introducing Git and GitHub.) But once you've learned the basics, it can be hard to remember which commands to use to execute the most common tasks. I went searching for a Git reference guide that would be useful for beginners like myself, but didn't find anything ideal: Git - the simple guide is useful as a high-level overview of the basic commands, but doesn't provide enough details. Git Cheatsheet uses a nice interactive approach to summarize a ton of git commands on one screen, but it doesn't give you any sense of workflow. Git Reference is close to what I was looking for, and links each entry to the relevant section of Pro Git (awesome!), but is too long for a quick reference. So, I decided to make my own reference guide! The guide below is organized by task, with an emphasis on basic tasks and common command line arguments. It begins with the workflow for cloning, updating, and syncing with a remote repo because that's a common way to get started with Git and GitHub. Note that this is only a reference guide, and will not teach you Git. It does not explain the difference between staged and committed, what to do with a .gitignore file, or when to create a branch. But if you are already familiar with those concepts, this guide will hopefully refresh your memory and help you to discover other commands you might need. Please enjoy, and let me know your thoughts or questions in the comments! Cloning a remote repo (that you created or forked on GitHub) git clone < your-repo-URL >: copies your remote repo to your local machine (in a subdirectory with the repo's name), and automatically creates an "origin" handle git remote add upstream < forked-repo-URL >: adds an "upstream" handle for the repo you forked git remote -v: shows the handles for your remotes git remote show < handlename >: inspect a remote in detail Tracking, committing, and pushing your changes git add < name >: if untracked, start tracking a file or directory; if tracked and modified, stage it for committing git reset HEAD < name >: unstage a changed file git commit -m "message": commits everything that has been staged with a message -a -m "message": automatically stages any modified files, then commits --amend -m "new message": fixes the message from the last commit git push origin master: pushes your commits to the master branch of the origin Syncing your local repo with the upstream repo git fetch upstream: fetch the upstream and store its master branch in "upstream/master" git merge upstream/master: merge that branch into the working branch Viewing the status of your files git status: check which files have been modified and/or staged since the last commit git diff: shows the diff for files that are modified but not staged --staged: shows the diff for files that are staged but not committed Viewing the commit history git log: shows the detailed commit history -1: only shows the last 1 commit -p: shows the line diff for each commit -p --word-diff: shows the word diff for each commit --stat: shows stats instead of diff details --name-status: shows a simpler version of stat --oneline: just shows commit comments gitk: open a visual commit browser Managing branches git branch: shows a list of local branches < branchname >: create a new branch with that name -d < branchname >: delete a branch -v: show the last commit on each local branch -a: show local and remote branches -va: show the last commit on each local and remote branch --merged: list which branches are already merged into the working branch (safe to delete) --no-merged: list which branches are not merged into the working branch git checkout < branchname >: switch the HEAD pointer to a different branch -b < branchname >: create a new branch and switch to it Removing, deleting, and reverting files git rm < name >: deletes that file from the disk, then stages its deletion --cached < name >: stops tracking a file, then stages its deletion (but does not delete it from the disk) git mv < oldname > < newname >: renames the file on disk, then stages the deletion of the old name and addition of the new name git checkout -- < name >: revert a modified file on disk back to the last committed version Other basic commands git init: initialize Git in an existing directory git config --list: shows your Git configuration touch .gitignore: create an empty .gitignore file
AKAGIwyf / UAV TrackingIn recent years, UAV began to appear in all aspects of production and life of human society, and has been widely used in aerial photography, monitoring, security, disaster relief and other fields. For example, UAV tracking can be used for urban security, automatic cruise to find suspects and assist in intelligent urban security management.However, the practical application of UAV in various early scenes was mostly based on human remote control or intervention, and the degree of automation was not high. The degree to which UAVs can be automated is one of the decisive factors in whether they can play a bigger role in the future. With the increasing demand of UAV automation, target tracking based on computer vision has become one of the current research hotspots. Some companies in China and abroad, such as DJI, have successfully equipped target tracking on UAVs, but these technologies only exist in papers and descriptions, and the specific implementation has not been sorted out and opened source. Therefore, we plan to try to complete this project by ourselves and open source it on Github. Traditional visual tracking has many advantages, such as strong autonomy, wide measurement range and access to a large amount of environmental information, it also has many disadvantages.It requires a powerful hardware system. In order to obtain accurate navigation information, it needs to be equipped with a high-resolution camera and a powerful processor. From image data acquisition to processing, huge data operations are involved, which undoubtedly increases the cost of UAV tracking. Moreover, the reliability of traditional visual navigation and tracking is poor, and it is difficult for UAV to work in complex lighting and obstacle scenes. Therefore, we plan to use deep learning for target tracking in this project. We can train our own model through deep learning algorithm (we have not decided what network structure to use), then move the trained model to the embedded development board for operation, fix it on the UAV, read the image through the camera and process the data, so that it can recognize the objects to be recognized and tracked. In this project, we will use NVIDIA Jetson TX2 development board, install ROS in Linux system, establish communication with pixhawk, and conduct UAV flight control through PID algorithm.
diviningwater / Machine Learning Applications In Remote Sensing DataFarm Scale Soil Moisture using Remote Sensing and Water Budget Products
amilyxy / Hyperspctral ClassificationHyperspectral remote sensing image classification based on deep learning
rsdler / Remote Sensing Object Detection DatasetDatasets related to remote sensing and deep learning
lyf0801 / DPALThis repository is about the work "Dual-Perspective Alignment Learning for Multimodal Remote Sensing Object Detection" in IEEE TGRS 2025.
NexGenMap / Dl Semantic SegmentationDeep-learning applied to semantic segmentation of remote sensing data
rsdler / Agriculture Remote Sensing DatasetDatasets related to remote sensing and deep learning
periakiva / MATTEROfficial implementation of Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
IGNF / OdeonODEON is a task-agnostic framework for deep learning applied to remote sensing
lyf0801 / UG2LThis repository is about the work "Uncertainty-Aware Graph Reasoning with Global Collaborative Learning for Remote Sensing Salient Object Detection" in IEEE GRSL 2023.
geo-smart / Deep SnowMachine learning models for remote sensing snow depth retrieval
smallsmallflypigtang / Deep Hash Learning For Remote Sensing Image RetrievalThe official codes for paper "Deep hash learning for remote sensing image retrieval"
AlirezaShamsoshoara / Imitation Learning Behavioral Cloning UAV Assisted CommunicationAn Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)
Jing25 / SR RemoteSensingSuper-Resolution deep learning models for remote sensing data
ZhAnGToNG1 / UniconDetA Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning
UCLA-VMG / EquiPlethTo overcome fundamental biases in camera-based remote plethysmography, we propose an adversarial learning-based fair fusion method, using a novel RGB-Radar hardware setup.
xiaoqiang-lu / LSSTThe official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation) Accepted by TGRS2022
