open-mmlab · xiexinch · Apr 2, 2024 · Apr 1, 2024 · Apr 2, 2024
diff --git a/.gitignore b/.gitignore
@@ -126,6 +126,7 @@ docs/**/modelzoo.md
 !tests/data/**/*.log.json
 !tests/data/**/*.pth
 !tests/data/**/*.npy
+!tests/data/**/vis/
 
 # Pytorch
 *.pth

diff --git a/README.md b/README.md
@@ -243,6 +243,7 @@ A summary can be found in the [Model Zoo](https://mmpose.readthedocs.io/en/lates
 - [x] [Human3.6M](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#human3-6m-tpami-2014) \[[homepage](http://vision.imar.ro/human3.6m/description.php)\] (TPAMI'2014)
 - [x] [COCO](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#coco-eccv-2014) \[[homepage](http://cocodataset.org/)\] (ECCV'2014)
 - [x] [CMU Panoptic](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#cmu-panoptic-iccv-2015) \[[homepage](http://domedb.perception.cs.cmu.edu/)\] (ICCV'2015)
+- [x] [300VW](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#300w-imavis-2016) \[[homepage](https://ibug.doc.ic.ac.uk/resources/300-VW/)\] (ICCV'2015)
 - [x] [DeepFashion](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#deepfashion-cvpr-2016) \[[homepage](http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/LandmarkDetection.html)\] (CVPR'2016)
 - [x] [300W](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#300w-imavis-2016) \[[homepage](https://ibug.doc.ic.ac.uk/resources/300-W/)\] (IMAVIS'2016)
 - [x] [RHD](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/datasets.html#rhd-iccv-2017) \[[homepage](https://lmb.informatik.uni-freiburg.de/resources/datasets/RenderedHandposeDataset.en.html)\] (ICCV'2017)

diff --git a/configs/_base_/datasets/300vw.py b/configs/_base_/datasets/300vw.py
@@ -0,0 +1,134 @@
+dataset_info = dict(
+    dataset_name='300vw',
+    paper_info=dict(
+        author='Jie Shen, Stefanos Zafeiriou, Grigorios G. Chrysos, '
+        'Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic',
+        title='The First Facial Landmark Tracking in-the-Wild Challenge: '
+        'Benchmark and Results',
+        container='Proceedings of the IEEE '
+        'international conference on computer vision workshops',
+        year='2016',
+        homepage='https://ibug.doc.ic.ac.uk/resources/300-VW/',
+    ),
+    keypoint_info={
+        0: dict(name='kpt-0', id=0, color=[255, 0, 0], type='', swap='kpt-16'),
+        1: dict(name='kpt-1', id=1, color=[255, 0, 0], type='', swap='kpt-15'),
+        2: dict(name='kpt-2', id=2, color=[255, 0, 0], type='', swap='kpt-14'),
+        3: dict(name='kpt-3', id=3, color=[255, 0, 0], type='', swap='kpt-13'),
+        4: dict(name='kpt-4', id=4, color=[255, 0, 0], type='', swap='kpt-12'),
+        5: dict(name='kpt-5', id=5, color=[255, 0, 0], type='', swap='kpt-11'),
+        6: dict(name='kpt-6', id=6, color=[255, 0, 0], type='', swap='kpt-10'),
+        7: dict(name='kpt-7', id=7, color=[255, 0, 0], type='', swap='kpt-9'),
+        8: dict(name='kpt-8', id=8, color=[255, 0, 0], type='', swap=''),
+        9: dict(name='kpt-9', id=9, color=[255, 0, 0], type='', swap='kpt-7'),
+        10:
+        dict(name='kpt-10', id=10, color=[255, 0, 0], type='', swap='kpt-6'),
+        11:
+        dict(name='kpt-11', id=11, color=[255, 0, 0], type='', swap='kpt-5'),
+        12:
+        dict(name='kpt-12', id=12, color=[255, 0, 0], type='', swap='kpt-4'),
+        13:
+        dict(name='kpt-13', id=13, color=[255, 0, 0], type='', swap='kpt-3'),
+        14:
+        dict(name='kpt-14', id=14, color=[255, 0, 0], type='', swap='kpt-2'),
+        15:
+        dict(name='kpt-15', id=15, color=[255, 0, 0], type='', swap='kpt-1'),
+        16:
+        dict(name='kpt-16', id=16, color=[255, 0, 0], type='', swap='kpt-0'),
+        17:
+        dict(name='kpt-17', id=17, color=[255, 0, 0], type='', swap='kpt-26'),
+        18:
+        dict(name='kpt-18', id=18, color=[255, 0, 0], type='', swap='kpt-25'),
+        19:
+        dict(name='kpt-19', id=19, color=[255, 0, 0], type='', swap='kpt-24'),
+        20:
+        dict(name='kpt-20', id=20, color=[255, 0, 0], type='', swap='kpt-23'),
+        21:
+        dict(name='kpt-21', id=21, color=[255, 0, 0], type='', swap='kpt-22'),
+        22:
+        dict(name='kpt-22', id=22, color=[255, 0, 0], type='', swap='kpt-21'),
+        23:
+        dict(name='kpt-23', id=23, color=[255, 0, 0], type='', swap='kpt-20'),
+        24:
+        dict(name='kpt-24', id=24, color=[255, 0, 0], type='', swap='kpt-19'),
+        25:
+        dict(name='kpt-25', id=25, color=[255, 0, 0], type='', swap='kpt-18'),
+        26:
+        dict(name='kpt-26', id=26, color=[255, 0, 0], type='', swap='kpt-17'),
+        27: dict(name='kpt-27', id=27, color=[255, 0, 0], type='', swap=''),
+        28: dict(name='kpt-28', id=28, color=[255, 0, 0], type='', swap=''),
+        29: dict(name='kpt-29', id=29, color=[255, 0, 0], type='', swap=''),
+        30: dict(name='kpt-30', id=30, color=[255, 0, 0], type='', swap=''),
+        31:
+        dict(name='kpt-31', id=31, color=[255, 0, 0], type='', swap='kpt-35'),
+        32:
+        dict(name='kpt-32', id=32, color=[255, 0, 0], type='', swap='kpt-34'),
+        33: dict(name='kpt-33', id=33, color=[255, 0, 0], type='', swap=''),
+        34:
+        dict(name='kpt-34', id=34, color=[255, 0, 0], type='', swap='kpt-32'),
+        35:
+        dict(name='kpt-35', id=35, color=[255, 0, 0], type='', swap='kpt-31'),
+        36:
+        dict(name='kpt-36', id=36, color=[255, 0, 0], type='', swap='kpt-45'),
+        37:
+        dict(name='kpt-37', id=37, color=[255, 0, 0], type='', swap='kpt-44'),
+        38:
+        dict(name='kpt-38', id=38, color=[255, 0, 0], type='', swap='kpt-43'),
+        39:
+        dict(name='kpt-39', id=39, color=[255, 0, 0], type='', swap='kpt-42'),
+        40:
+        dict(name='kpt-40', id=40, color=[255, 0, 0], type='', swap='kpt-47'),
+        41: dict(
+            name='kpt-41', id=41, color=[255, 0, 0], type='', swap='kpt-46'),
+        42: dict(
+            name='kpt-42', id=42, color=[255, 0, 0], type='', swap='kpt-39'),
+        43: dict(
+            name='kpt-43', id=43, color=[255, 0, 0], type='', swap='kpt-38'),
+        44: dict(
+            name='kpt-44', id=44, color=[255, 0, 0], type='', swap='kpt-37'),
+        45: dict(
+            name='kpt-45', id=45, color=[255, 0, 0], type='', swap='kpt-36'),
+        46: dict(
+            name='kpt-46', id=46, color=[255, 0, 0], type='', swap='kpt-41'),
+        47: dict(
+            name='kpt-47', id=47, color=[255, 0, 0], type='', swap='kpt-40'),
+        48: dict(
+            name='kpt-48', id=48, color=[255, 0, 0], type='', swap='kpt-54'),
+        49: dict(
+            name='kpt-49', id=49, color=[255, 0, 0], type='', swap='kpt-53'),
+        50: dict(
+            name='kpt-50', id=50, color=[255, 0, 0], type='', swap='kpt-52'),
+        51: dict(name='kpt-51', id=51, color=[255, 0, 0], type='', swap=''),
+        52: dict(
+            name='kpt-52', id=52, color=[255, 0, 0], type='', swap='kpt-50'),
+        53: dict(
+            name='kpt-53', id=53, color=[255, 0, 0], type='', swap='kpt-49'),
+        54: dict(
+            name='kpt-54', id=54, color=[255, 0, 0], type='', swap='kpt-48'),
+        55: dict(
+            name='kpt-55', id=55, color=[255, 0, 0], type='', swap='kpt-59'),
+        56: dict(
+            name='kpt-56', id=56, color=[255, 0, 0], type='', swap='kpt-58'),
+        57: dict(name='kpt-57', id=57, color=[255, 0, 0], type='', swap=''),
+        58: dict(
+            name='kpt-58', id=58, color=[255, 0, 0], type='', swap='kpt-56'),
+        59: dict(
+            name='kpt-59', id=59, color=[255, 0, 0], type='', swap='kpt-55'),
+        60: dict(
+            name='kpt-60', id=60, color=[255, 0, 0], type='', swap='kpt-64'),
+        61: dict(
+            name='kpt-61', id=61, color=[255, 0, 0], type='', swap='kpt-63'),
+        62: dict(name='kpt-62', id=62, color=[255, 0, 0], type='', swap=''),
+        63: dict(
+            name='kpt-63', id=63, color=[255, 0, 0], type='', swap='kpt-61'),
+        64: dict(
+            name='kpt-64', id=64, color=[255, 0, 0], type='', swap='kpt-60'),
+        65: dict(
+            name='kpt-65', id=65, color=[255, 0, 0], type='', swap='kpt-67'),
+        66: dict(name='kpt-66', id=66, color=[255, 0, 0], type='', swap=''),
+        67: dict(
+            name='kpt-67', id=67, color=[255, 0, 0], type='', swap='kpt-65'),
+    },
+    skeleton_info={},
+    joint_weights=[1.] * 68,
+    sigmas=[])
diff --git a/docs/en/dataset_zoo/2d_face_keypoint.md b/docs/en/dataset_zoo/2d_face_keypoint.md
@@ -6,6 +6,7 @@ If your folder structure is different, you may need to change the corresponding
 MMPose supported datasets:
 
 - [300W](#300w-dataset) \[ [Homepage](https://ibug.doc.ic.ac.uk/resources/300-W/) \]
+- [300VW](#300vw-dataset) \[ [Homepage](https://ibug.doc.ic.ac.uk/resources/300-VW/) \]
 - [WFLW](#wflw-dataset) \[ [Homepage](https://wywu.github.io/projects/LAB/WFLW.html) \]
 - [AFLW](#aflw-dataset) \[ [Homepage](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/) \]
 - [COFW](#cofw-dataset) \[ [Homepage](http://www.vision.caltech.edu/xpburgos/ICCV13/) \]
@@ -94,6 +95,60 @@ mmpose
                      ...
 ```
 
+## 300VW Dataset
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Shen_The_First_Facial_ICCV_2015_paper.pdf">300VW (ICCVW'2015)</a></summary>
+
+```bibtex
+@inproceedings{shen2015first,
+  title={The first facial landmark tracking in-the-wild challenge: Benchmark and results},
+  author={Shen, Jie and Zafeiriou, Stefanos and Chrysos, Grigoris G and Kossaifi, Jean and Tzimiropoulos, Georgios and Pantic, Maja},
+  booktitle={Proceedings of the IEEE international conference on computer vision workshops},
+  pages={50--58},
+  year={2015}
+}
+```
+
+</details>
+
+For 300VW data, please register and download images from [300VW Dataset](https://ibug.doc.ic.ac.uk/download/300VW_Dataset_2015_12_14.zip/).
+Unzip and use the "tools/dataset_converters/300vw2coco.py" to process the data.
+
+<!-- Please download the annotation files from [300w_annotations](https://download.openmmlab.com/mmpose/datasets/300w_annotations.tar). -->
+
+Put the 300VW under {MMPose}/data, and make them look like this:
+
+```text
+mmpose
+├── mmpose
+├── docs
+├── tests
+├── tools
+├── configs
+`── data
+    │── 300vw
+        |── annotations
+        |   |── train.json
+        |   |── test_1.json
+        |   |── test_2.json
+        |   `── test_3.json
+        `── images
+            |── 001
+            |   `── imgs
+            |       |── 000001.png
+            |       |── 000002.png
+            |       ...
+            |── 002
+            |   `── imgs
+            |       |── 000001.png
+            |       |── 000002.png
+            |       ...
+            |   ...
+```
+
 ## WFLW Dataset
 
 <!-- [DATASET] -->

diff --git a/docs/src/papers/datasets/300vw.md b/docs/src/papers/datasets/300vw.md
@@ -0,0 +1,18 @@
+# 300 faces in-the-wild challenge: Database and results
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Shen_The_First_Facial_ICCV_2015_paper.pdf">300VW (ICCVW'2015)</a></summary>
+
+```bibtex
+@inproceedings{shen2015first,
+  title={The first facial landmark tracking in-the-wild challenge: Benchmark and results},
+  author={Shen, Jie and Zafeiriou, Stefanos and Chrysos, Grigoris G and Kossaifi, Jean and Tzimiropoulos, Georgios and Pantic, Maja},
+  booktitle={Proceedings of the IEEE international conference on computer vision workshops},
+  pages={50--58},
+  year={2015}
+}
+```
+
+</details>
diff --git a/docs/zh_cn/dataset_zoo/2d_face_keypoint.md b/docs/zh_cn/dataset_zoo/2d_face_keypoint.md
@@ -6,6 +6,7 @@ If your folder structure is different, you may need to change the corresponding
 MMPose supported datasets:
 
 - [300W](#300w-dataset) \[ [Homepage](https://ibug.doc.ic.ac.uk/resources/300-W/) \]
+- [300VW](#300vw-dataset) \[ [Homepage](https://ibug.doc.ic.ac.uk/resources/300-VW/) \]
 - [WFLW](#wflw-dataset) \[ [Homepage](https://wywu.github.io/projects/LAB/WFLW.html) \]
 - [AFLW](#aflw-dataset) \[ [Homepage](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/) \]
 - [COFW](#cofw-dataset) \[ [Homepage](http://www.vision.caltech.edu/xpburgos/ICCV13/) \]
@@ -94,6 +95,61 @@ mmpose
                      ...
 ```
 
+## 300VW Dataset
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Shen_The_First_Facial_ICCV_2015_paper.pdf">300VW (ICCVW'2015)</a></summary>
+
+```bibtex
+@inproceedings{shen2015first,
+  title={The first facial landmark tracking in-the-wild challenge: Benchmark and results},
+  author={Shen, Jie and Zafeiriou, Stefanos and Chrysos, Grigoris G and Kossaifi, Jean and Tzimiropoulos, Georgios and Pantic, Maja},
+  booktitle={Proceedings of the IEEE international conference on computer vision workshops},
+  pages={50--58},
+  year={2015}
+}
+```
+
+</details>
+
+300VW dataset follows the same mark-up (i.e. set of facial landmarks) used in the 300W.
+For 300VW data, please register and download images from [300VW Dataset](https://ibug.doc.ic.ac.uk/download/300VW_Dataset_2015_12_14.zip) .
+Unzip and use the "tools/dataset_converters/300vw2coco.py" to process the data.
+
+<!-- Please download the annotation files from [300w_annotations](https://download.openmmlab.com/mmpose/datasets/300w_annotations.tar). -->
+
+Put the 300VW under {MMPose}/data, and make them look like this:
+
+```text
+mmpose
+├── mmpose
+├── docs
+├── tests
+├── tools
+├── configs
+`── data
+    │── 300vw
+        |── annotations
+        |   |── train.json
+        |   |── test_1.json
+        |   |── test_2.json
+        |   `── test_3.json
+        `── images
+            |── 001
+            |   `── imgs
+            |       |── 000001.png
+            |       |── 000002.png
+            |       ...
+            |── 002
+            |   `── imgs
+            |       |── 000001.png
+            |       |── 000002.png
+            |       ...
+            |   ...
+```
+
 ## WFLW Dataset
 
 <!-- [DATASET] -->

diff --git a/mmpose/datasets/datasets/face/__init__.py b/mmpose/datasets/datasets/face/__init__.py
@@ -2,12 +2,14 @@
 from .aflw_dataset import AFLWDataset
 from .coco_wholebody_face_dataset import CocoWholeBodyFaceDataset
 from .cofw_dataset import COFWDataset
+from .face_300vw_dataset import Face300VWDataset
 from .face_300w_dataset import Face300WDataset
 from .face_300wlp_dataset import Face300WLPDataset
 from .lapa_dataset import LapaDataset
 from .wflw_dataset import WFLWDataset
 
 __all__ = [
     'Face300WDataset', 'WFLWDataset', 'AFLWDataset', 'COFWDataset',
-    'CocoWholeBodyFaceDataset', 'LapaDataset', 'Face300WLPDataset'
+    'CocoWholeBodyFaceDataset', 'LapaDataset', 'Face300WLPDataset',
+    'Face300VWDataset'
 ]