{"id":23082444,"url":"https://github.com/humanpose1/python_shot","last_synced_at":"2025-07-22T20:33:42.212Z","repository":{"id":217885114,"uuid":"416318479","full_name":"humanpose1/python_shot","owner":"humanpose1","description":"binding of pcl for python shot descriptor","archived":false,"fork":false,"pushed_at":"2021-11-08T10:24:27.000Z","size":26,"stargazers_count":6,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-30T14:27:43.770Z","etag":null,"topics":["cloud","descriptors","pcl","point","python","shot"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/humanpose1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2021-10-12T11:59:09.000Z","updated_at":"2024-12-10T09:46:00.000Z","dependencies_parsed_at":"2024-01-18T17:51:26.872Z","dependency_job_id":null,"html_url":"https://github.com/humanpose1/python_shot","commit_stats":null,"previous_names":["humanpose1/python_shot"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/humanpose1/python_shot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/humanpose1%2Fpython_shot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/humanpose1%2Fpython_shot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/humanpose1%2Fpython_shot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/humanpose1%2Fpython_shot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/humanpose1","download_url":"https://codeload.github.com/humanpose1/python_shot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/humanpose1%2Fpython_shot/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266567638,"owners_count":23949391,"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":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["cloud","descriptors","pcl","point","python","shot"],"created_at":"2024-12-16T14:52:45.732Z","updated_at":"2025-07-22T20:33:42.191Z","avatar_url":"https://github.com/humanpose1.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SHOT descriptor  for 3D Point Cloud in python\n\n\nThis repo is a binding in python  of the [SHOT descriptor](http://vision.disi.unibo.it/research/80-shot) written in C++ with [PCL](https://pointclouds.org/). It uses the library [pybind11](https://github.com/pybind/pybind11) for the binding.\n\n## Installation\n\nFirst you need to install [PCL](https://pointclouds.org/). You can use the script (thanks [3DSmoothnet](https://github.com/zgojcic/3DSmoothNet) for the script) \n```\nsh install_pcl.sh\n```\nthen create a conda environnement\n```\nconda create -n \"python_shot\"\n```\nand install numpy and pytest\n```\nconda install numpy, pytest\n```\nThen you can install our library to compute shot\n```\npython setup.py install\n```\n## How to use SHOT descriptor\n\nThe SHOT function takes numpy array as argument.\n```python\nimport handcrafted_descriptor as hd\ndescr = hd.compute_shot(point_cloud, normals, keypoints, keypoints_normal)\n```\n`point_cloud` is a numpy array of size `N x 3`\n`normals` is a numpy array of size `N x 3`. It is the normals of the point cloud, you need to estimate it beforehand if you do not have access to normals.\n\n\n`keypoints` is a numpy array of size `M x 3`. It is selected keypoints where you want to compute the descriptors.\n`keypoints_normals` is a numpy array of size `M x 3`. the normals of the keypoints.\n\n`descr` is a numpy array of size `M x 352`\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhumanpose1%2Fpython_shot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhumanpose1%2Fpython_shot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhumanpose1%2Fpython_shot/lists"}