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The Triangulation step is responsible for computing the `3D position` of a point in space given its corresponding `2D position` in two or more images. This step is important in 3D reconstruction since…
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There is a key keypoints_3d_gt parameter that is used to convert the gt joint from world space to camera space,
But I noticed that the parameter was loaded from a json file, not calculated.
So how d…
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I have noticed that in demo video, there are eyes/ears 3D keypoints
But , the datasets in `dataset_preparation`, 3D joints have no additonal keypoints named eyes/ears~~~
Could you please tell me …
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Hello,
I just dabbled in this field, and I want to ask you some questions.
1. can your dataset support action recognition in human-computer collaboration scenarios？
2. I know some skeleton-based m…
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Hi, I might be asking stupid questions, but I really get stuck and I hope you can help me a bit. I am using mmpose 0.x version since I would like to do 3D inferencing.
I am using your image-based "…
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Hi, I got some real-time 3d pose result and visualize in open3d, it looks good:
 and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmpose/issues) and [Discussions](https://github.com/open-mmlab/mmpose/discussions) but cannot get the expected help.
- [X…
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# SFM
SfM can be used to create a dense 3D point cloud or mesh of the object by triangulating 3D points from their projections onto multiple 2D images. SfM techniques typically involve estimating cam…