Research code for metric depth estimation in periocular VR imagery using UE MetaHuman-generated data.
Estimate depth in eye images from virtual reality headsets to analyze eye features.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeResearch code for metric depth estimation in periocular VR imagery using UE MetaHuman-generated data.
DeepMetricEye has 547 stars on GitHub. DeepMetricEye is written mainly in Jupyter Notebook. It has been in active development since 2023. DeepMetricEye is available under the GPL-3.0 license. Its main topics are computer-vision, depth-estimation, hci, ismar.
Research code for metric depth estimation in periocular VR imagery using UE MetaHuman-generated data.
DeepMetricEye is an open-source project. It is released under the GPL-3.0 license.
Yes. DeepMetricEye is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
DeepMetricEye is available under the GPL-3.0 license.
DeepMetricEye is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/sunyitong-deepmetriceye.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.