Add keypoint-detection pipeline tag
#2
by
nielsr
HF Staff
- opened
README.md
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@@ -1,6 +1,8 @@
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license: apache-2.0
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---
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Pretrained models and datasets of our method **SemiUHPE**
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Title: *Semi-Supervised Unconstrained Head Pose Estimation in the Wild*
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@@ -32,5 +34,4 @@ Project link: https://hnuzhy.github.io/projects/SemiUHPE/
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* Labeled 300W-LP and AFLW2000 (about 120K synthetic heads in 300W-LP, and 2000 real wild heads in AFLW2000):
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* You can download them from [3DDFA homepage](http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm). Please see [dataset_300WLP.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_300WLP.py) and [dataset_AFLW2000.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_AFLW2000.py) for more details.
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* Labeled DAD-3DHeads (37840 images in train-set, 4312 images in val-set, and 2746 images in test-set):
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* You can download them from [DAD-3DHeads](https://github.com/PinataFarms/DAD-3DHeads). Please see [dataset_DAD3DHeads.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_DAD3DHeads.py#L257) for more details.
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---
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license: apache-2.0
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pipeline_tag: keypoint-detection
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---
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Pretrained models and datasets of our method **SemiUHPE**
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Title: *Semi-Supervised Unconstrained Head Pose Estimation in the Wild*
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* Labeled 300W-LP and AFLW2000 (about 120K synthetic heads in 300W-LP, and 2000 real wild heads in AFLW2000):
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* You can download them from [3DDFA homepage](http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm). Please see [dataset_300WLP.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_300WLP.py) and [dataset_AFLW2000.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_AFLW2000.py) for more details.
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* Labeled DAD-3DHeads (37840 images in train-set, 4312 images in val-set, and 2746 images in test-set):
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* You can download them from [DAD-3DHeads](https://github.com/PinataFarms/DAD-3DHeads). Please see [dataset_DAD3DHeads.py](https://github.com/hnuzhy/SemiUHPE/tree/main/src/datasets/dataset_DAD3DHeads.py#L257) for more details.
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