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[Fix] Fix md format (open-mmlab#2451)
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@@ -159,7 +159,7 @@ Feel free to join our community group for more help: | |
| #### 17 Keypoints | ||
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| - Keypoints are defined as [COCO](http://cocodataset.org/). For details please refer to the [meta info](/configs/_base_/datasets/coco.py). | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/2417e4f7-2203-468f-bad0-e7a6a6bf8251" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/2417e4f7-2203-468f-bad0-e7a6a6bf8251" height="300px"> | ||
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| <details close> | ||
| <summary><b>AIC+COCO</b></summary> | ||
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@@ -202,7 +202,7 @@ Feel free to join our community group for more help: | |
| #### 26 Keypoints | ||
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| - Keypoints are defined as [Halpe26](https://github.com/Fang-Haoshu/Halpe-FullBody/). For details please refer to the [meta info](/configs/_base_/datasets/halpe26.py). | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/f28ab3ba-833d-4ca7-8739-f97e6cafbab7" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/f28ab3ba-833d-4ca7-8739-f97e6cafbab7" height="300px"> | ||
| - Models are trained and evaluated on `Body8`. | ||
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| | Config | Input Size | [email protected]<sup><br>(Body8) | AUC<sup><br>(Body8) | Params(M) | FLOPS(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | ncnn-FP16-Latency<sup><br>(ms)<sup><br>(Snapdragon 865) | Download | | ||
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@@ -230,7 +230,7 @@ For more details, please refer to [GroupFisher Pruning for RTMPose](./rtmpose/pr | |
| ### WholeBody 2d (133 Keypoints) | ||
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| - Keypoints are defined as [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody/). For details please refer to the [meta info](/configs/_base_/datasets/coco_wholebody.py). | ||
| <img src="https://user-images.githubusercontent.com/100993824/227770977-c8f00355-c43a-467e-8444-d307789cf4b2.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227770977-c8f00355-c43a-467e-8444-d307789cf4b2.png" height="300px"> | ||
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| | Config | Input Size | Whole AP | Whole AR | FLOPS<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :------------------------------ | :--------: | :------: | :------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :-------------------------------: | | ||
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@@ -241,7 +241,7 @@ For more details, please refer to [GroupFisher Pruning for RTMPose](./rtmpose/pr | |
| ### Animal 2d (17 Keypoints) | ||
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| - Keypoints are defined as [AP-10K](https://github.com/AlexTheBad/AP-10K/). For details please refer to the [meta info](/configs/_base_/datasets/ap10k.py). | ||
| <img src="https://user-images.githubusercontent.com/100993824/227797151-091dc21a-d944-49c9-8b62-cc47fa89e69f.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227797151-091dc21a-d944-49c9-8b62-cc47fa89e69f.png" height="300px"> | ||
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| | Config | Input Size | AP<sup><br>(AP10K) | FLOPS<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :----------------------------: | :--------: | :----------------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :------------------------------: | | ||
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@@ -250,7 +250,7 @@ For more details, please refer to [GroupFisher Pruning for RTMPose](./rtmpose/pr | |
| ### Face 2d (106 Keypoints) | ||
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| - Keypoints are defined as [LaPa](https://github.com/JDAI-CV/lapa-dataset). For details please refer to the [meta info](/configs/_base_/datasets/lapa.py). | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/30fa583e-500c-4356-ac5a-7e9d7d18381a" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/30fa583e-500c-4356-ac5a-7e9d7d18381a" height="300px"> | ||
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| <details open> | ||
| <summary><b>Face6</b></summary> | ||
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@@ -274,7 +274,7 @@ For more details, please refer to [GroupFisher Pruning for RTMPose](./rtmpose/pr | |
| ### Hand 2d (21 Keypoints) | ||
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| - Keypoints are defined as [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody/). For details please refer to the [meta info](/configs/_base_/datasets/coco_wholebody_hand.py). | ||
| <img src="https://user-images.githubusercontent.com/100993824/227771101-03a27bd8-ccc0-4eb9-a111-660f191a7a16.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227771101-03a27bd8-ccc0-4eb9-a111-660f191a7a16.png" height="300px"> | ||
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| | Detection Config | Input Size | Model AP<sup><br>(OneHand10K) | Flops<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :---------------------------: | :--------: | :---------------------------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :--------------------: | | ||
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@@ -150,7 +150,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| #### 17 Keypoints | ||
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| - 关键点骨架定义遵循 [COCO](http://cocodataset.org/). 详情见 [meta info](/configs/_base_/datasets/coco.py). | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/2417e4f7-2203-468f-bad0-e7a6a6bf8251" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/2417e4f7-2203-468f-bad0-e7a6a6bf8251" height="300px"> | ||
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| <details close> | ||
| <summary><b>AIC+COCO</b></summary> | ||
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@@ -193,7 +193,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| #### 26 Keypoints | ||
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| - 关键点骨架定义遵循 [Halpe26](https://github.com/Fang-Haoshu/Halpe-FullBody/)，详情见 [meta info](/configs/_base_/datasets/halpe26.py)。 | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/f28ab3ba-833d-4ca7-8739-f97e6cafbab7" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/f28ab3ba-833d-4ca7-8739-f97e6cafbab7" height="300px"> | ||
| - 模型在 `Body8` 上进行训练和评估。 | ||
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| | Config | Input Size | [email protected]<sup><br>(Body8) | AUC<sup><br>(Body8) | Params(M) | FLOPS(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | ncnn-FP16-Latency<sup><br>(ms)<sup><br>(Snapdragon 865) | Download | | ||
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@@ -221,7 +221,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| ### 人体全身 2d 关键点 (133 Keypoints) | ||
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| - 关键点骨架定义遵循 [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody/)，详情见 [meta info](/configs/_base_/datasets/coco_wholebody.py)。 | ||
| <img src="https://user-images.githubusercontent.com/100993824/227770977-c8f00355-c43a-467e-8444-d307789cf4b2.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227770977-c8f00355-c43a-467e-8444-d307789cf4b2.png" height="300px"> | ||
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| | Config | Input Size | Whole AP | Whole AR | FLOPS<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :------------------------------ | :--------: | :------: | :------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :-------------------------------: | | ||
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@@ -232,7 +232,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| ### 动物 2d 关键点 (17 Keypoints) | ||
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| - 关键点骨架定义遵循 [AP-10K](https://github.com/AlexTheBad/AP-10K/)，详情见 [meta info](/configs/_base_/datasets/ap10k.py)。 | ||
| <img src="https://user-images.githubusercontent.com/100993824/227797151-091dc21a-d944-49c9-8b62-cc47fa89e69f.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227797151-091dc21a-d944-49c9-8b62-cc47fa89e69f.png" height="300px"> | ||
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| | Config | Input Size | AP<sup><br>(AP10K) | FLOPS<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :----------------------------: | :--------: | :----------------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :------------------------------: | | ||
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@@ -241,7 +241,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| ### 脸部 2d 关键点 (106 Keypoints) | ||
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| - 关键点骨架定义遵循 [LaPa](https://github.com/JDAI-CV/lapa-dataset)，详情见 [meta info](/configs/_base_/datasets/lapa.py)。 | ||
| <img src="https://github.com/open-mmlab/mmpose/assets/13503330/30fa583e-500c-4356-ac5a-7e9d7d18381a" height="300px"> | ||
| - <img src="https://github.com/open-mmlab/mmpose/assets/13503330/30fa583e-500c-4356-ac5a-7e9d7d18381a" height="300px"> | ||
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| <details open> | ||
| <summary><b>Face6</b></summary> | ||
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@@ -265,7 +265,7 @@ RTMPose 是一个长期优化迭代的项目，致力于业务场景下的高性 | |
| ### 手部 2d 关键点 (21 Keypoints) | ||
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| - 关键点骨架定义遵循 [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody/)，详情见 [meta info](/configs/_base_/datasets/coco_wholebody_hand.py)。 | ||
| <img src="https://user-images.githubusercontent.com/100993824/227771101-03a27bd8-ccc0-4eb9-a111-660f191a7a16.png" height="300px"> | ||
| - <img src="https://user-images.githubusercontent.com/100993824/227771101-03a27bd8-ccc0-4eb9-a111-660f191a7a16.png" height="300px"> | ||
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| | Detection Config | Input Size | Model AP<sup><br>(OneHand10K) | Flops<sup><br>(G) | ORT-Latency<sup><br>(ms)<sup><br>(i7-11700) | TRT-FP16-Latency<sup><br>(ms)<sup><br>(GTX 1660Ti) | Download | | ||
| | :---------------------------: | :--------: | :---------------------------: | :---------------: | :-----------------------------------------: | :------------------------------------------------: | :--------------------: | | ||
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