{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e067603a2acd4a6685eeb52fe8c9ea04\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e067603a2acd4a6685eeb52fe8c9ea04-bbfcb98961e5d723.gif","title":"Gaussian Process Spatial Alignment Update","description":"In this video, I share my progress on a Gaussian process spatial alignment algorithm that was developed by Stanford graduate students. I've been updating the code to resolve compatibility issues with various Python packages, which is crucial for users to successfully install and publish their papers. Currently, I'm testing different library versions and creating workflows for ongoing compatibility checks. I plan to have weekly tests to ensure everything functions smoothly. Once fully tested, I'll upload the final version to the main pip website."}