{"id":48469684,"url":"https://github.com/driscollh/opencap-offline","last_synced_at":"2026-04-07T06:02:29.926Z","repository":{"id":345201747,"uuid":"1180498700","full_name":"driscollh/opencap-offline","owner":"driscollh","description":null,"archived":false,"fork":false,"pushed_at":"2026-04-06T06:55:43.000Z","size":20667,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-06T08:45:38.671Z","etag":null,"topics":["biomechanics","biomechanics-analysis","motion-capture","opencap","opensim"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/driscollh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","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,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null},"funding":{"buy_me_a_coffee":"driscollh"}},"created_at":"2026-03-13T05:18:59.000Z","updated_at":"2026-04-06T06:55:49.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/driscollh/opencap-offline","commit_stats":null,"previous_names":["driscollh/opencap-offline"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/driscollh/opencap-offline","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/driscollh%2Fopencap-offline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/driscollh%2Fopencap-offline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/driscollh%2Fopencap-offline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/driscollh%2Fopencap-offline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/driscollh","download_url":"https://codeload.github.com/driscollh/opencap-offline/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/driscollh%2Fopencap-offline/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31501903,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T03:10:19.677Z","status":"ssl_error","status_checked_at":"2026-04-07T03:10:13.982Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["biomechanics","biomechanics-analysis","motion-capture","opencap","opensim"],"created_at":"2026-04-07T06:02:27.996Z","updated_at":"2026-04-07T06:02:29.920Z","avatar_url":"https://github.com/driscollh.png","language":"Python","funding_links":["https://buymeacoffee.com/driscollh","https://www.buymeacoffee.com/driscollh"],"categories":[],"sub_categories":[],"readme":"# OpenCap-Offline\n\nA fully offline, localized implementation of Stanford NMBL's OpenCap. This version adapts the original cloud-based processing pipeline to run entirely on a local machine, ensuring strict data privacy and allowing for use in environments without internet access.\nThis version of the software requires a sufficiently powerful GPU, but cannot run on blackwell architecture cards (i.e. Nvidia 50-series cards). \nI recommend use with Nvidia 30-series or 40-series cards with minimum 12GB graphics ram.\n\n[![\"Buy Me A Coffee\"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/driscollh)\n\n## Prerequisites\n* Python 3.9.25\n* Git\n* NVIDIA GPU (RTX 3000 series or 4000 series recommended) - this setup is not yet suitable for GPUs with Blackwell architecture\n* Anaconda or Miniconda\n\n## Installation \u0026 Setup\n\n**1. Download the Code**\nClone this repository to your local machine:\n`git clone https://github.com/driscollh/opencap-offline.git`\n\n**2. Create a Python Environment with OpenSim**\nconda create -n opencap_env python=3.9 -y\nconda activate opencap_env\nconda install -c opensim-org opensim=4.4 -y\n\n**3. Install Python Packages**\nNavigate into the main folder and install the required Python environment packages:\n`pip install -r requirements.txt`\n\n**4. Download the Local Dependencies (Required)**\nBecause the machine learning models and background engines (OpenPose, FFmpeg) are too large for GitHub, they are hosted securely on Zenodo.\n* Go to the V3 Zenodo archive: [https://doi.org/10.5281/zenodo.19447679](https://doi.org/10.5281/zenodo.19447679)\n* Download the `dependencies.zip` file.\n* Extract the contents directly into the empty `dependencies/` folder inside this project. This should result in three separate subfolders, one for each key dependency.\n* Extract the `RTMPose.zip` file directly into the main project folder next to `pyqt5_launcher_improved.py`. This folder should be titled \"Blackwell_RTMPose\", and contain a `dependencies/` folder and `mmcv/` folder.\n\n## Usage\nOnce the environment is set up and the dependencies are in place, you can launch the local processing by running the main Python script in your environment:\n\n`python pyqt5_launcher_improved.py` \nor\n`python simple_launcher.py`\n\n## VideoRecording\nUnlike the online version of OpenCap, this offline version requires additional video capture for calibration of camera intrinsics and extrinsics.\nPlease consult the `recording_practices.pdf` file prior to data collection.\n\n## Acknowledgments and Licensing\nThis project is built upon the original open-source OpenCap project by the Stanford Neuromuscular Biomechanics Laboratory. \n* **Original OpenCap:** [https://github.com/opencap-org/opencap-core](https://github.com/opencap-org/opencap-core)\n* **License:** Distributed under the Apache 2.0 License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdriscollh%2Fopencap-offline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdriscollh%2Fopencap-offline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdriscollh%2Fopencap-offline/lists"}