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55ae0d1b
编写于
4月 29, 2022
作者:
J
JYChen
提交者:
GitHub
4月 29, 2022
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fix kpt doc error (#5867)
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configs/keypoint/README.md
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configs/keypoint/README.md
浏览文件 @
55ae0d1b
...
...
@@ -53,33 +53,6 @@ PaddleDetection 关键点检测能力紧跟业内最新最优算法方案,包
|
[
PP-YOLOv2
](
https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
)
|
[
HRNet-w32
](
./hrnet/hrnet_w32_384x288.yml
)
| 检测:640x640
<br>
关键点:384x288 | 检测mAP:49.5
<br>
关键点AP:77.8 | 检测:54.6
<br/>
关键点:28.6 | 检测:115.8
<br/>
关键点:17.3 |
[
检测
](
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
)
<br>
[
关键点
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_256x192.pdparams
)
|
|
[
PP-YOLOv2
](
https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
)
|
[
HRNet-w32
](
./hrnet/hrnet_w32_256x192.yml
)
| 检测:640x640
<br>
关键点:256x192 | 检测mAP:49.5
<br>
关键点AP:76.9 | 检测:54.6
<br/>
关键点:28.6 | 检测:115.8
<br/>
关键点:7.68 |
[
检测
](
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
)
<br>
[
关键点
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_384x288.pdparams
)
|
*
详细关于PP-TinyPose的使用请参考
[
文档
](
(./tiny_pose/README.md
)
)。
### 服务端模型推荐
| 检测模型 | 关键点模型 | 输入尺寸 | COCO数据集精度 | 模型权重 |
|:----------------------------------------------------------------------------------------------------------------------------- |:------------------------------------------ |:-------------------------:|:------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
|
[
PP-YOLOv2
](
https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
)
|
[
HRNet-w32
](
./hrnet/hrnet_w32_384x288.yml
)
| 检测:640x640
<br>
关键点:384x288 | 检测mAP:49.5
<br>
关键点AP:77.8 |
[
检测
](
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
)
<br>
[
关键点
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_256x192.pdparams
)
|
|
[
PP-YOLOv2
](
https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
)
|
[
HRNet-w32
](
./hrnet/hrnet_w32_256x192.yml
)
| 检测:640x640
<br>
关键点:256x192 | 检测mAP:49.5
<br>
关键点AP:76.9 |
[
检测
](
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
)
<br>
[
关键点
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_384x288.pdparams
)
|
## 模型库
COCO数据集
| 模型 | 方案 |输入尺寸 | AP(coco val) | 模型下载 | 配置文件 |
| :---------------- | -------- | :----------: | :----------------------------------------------------------: | ----------------------------------------------------| ------- |
| HigherHRNet-w32 |Bottom-Up| 512 | 67.1 |
[
higherhrnet_hrnet_w32_512.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/higherhrnet_hrnet_w32_512.pdparams
)
|
[
config
](
./higherhrnet/higherhrnet_hrnet_w32_512.yml
)
|
| HigherHRNet-w32 | Bottom-Up| 640 | 68.3 |
[
higherhrnet_hrnet_w32_640.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/higherhrnet_hrnet_w32_640.pdparams
)
|
[
config
](
./higherhrnet/higherhrnet_hrnet_w32_640.yml
)
|
| HigherHRNet-w32+SWAHR |Bottom-Up| 512 | 68.9 |
[
higherhrnet_hrnet_w32_512_swahr.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/higherhrnet_hrnet_w32_512_swahr.pdparams
)
|
[
config
](
./higherhrnet/higherhrnet_hrnet_w32_512_swahr.yml
)
|
| HRNet-w32 | Top-Down| 256x192 | 76.9 |
[
hrnet_w32_256x192.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_256x192.pdparams
)
|
[
config
](
./hrnet/hrnet_w32_256x192.yml
)
|
| HRNet-w32 |Top-Down| 384x288 | 77.8 |
[
hrnet_w32_384x288.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/hrnet_w32_384x288.pdparams
)
|
[
config
](
./hrnet/hrnet_w32_384x288.yml
)
|
| HRNet-w32+DarkPose |Top-Down| 256x192 | 78.0 |
[
dark_hrnet_w32_256x192.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/dark_hrnet_w32_256x192.pdparams
)
|
[
config
](
./hrnet/dark_hrnet_w32_256x192.yml
)
|
| HRNet-w32+DarkPose |Top-Down| 384x288 | 78.3 |
[
dark_hrnet_w32_384x288.pdparams
](
https://paddledet.bj.bcebos.com/models/keypoint/dark_hrnet_w32_384x288.pdparams
)
|
[
config
](
./hrnet/dark_hrnet_w32_384x288.yml
)
|
| WiderNaiveHRNet-18 | Top-Down|256x192 | 67.6(+DARK 68.4) |
[
wider_naive_hrnet_18_256x192_coco.pdparams
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/wider_naive_hrnet_18_256x192_coco.pdparams
)
|
[
config
](
./lite_hrnet/wider_naive_hrnet_18_256x192_coco.yml
)
|
| LiteHRNet-18 |Top-Down| 256x192 | 66.5 |
[
lite_hrnet_18_256x192_coco.pdparams
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/lite_hrnet_18_256x192_coco.pdparams
)
|
[
config
](
./lite_hrnet/lite_hrnet_18_256x192_coco.yml
)
|
| LiteHRNet-18 |Top-Down| 384x288 | 69.7 |
[
lite_hrnet_18_384x288_coco.pdparams
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/lite_hrnet_18_384x288_coco.pdparams
)
|
[
config
](
./lite_hrnet/lite_hrnet_18_384x288_coco.yml
)
|
| LiteHRNet-30 | Top-Down|256x192 | 69.4 |
[
lite_hrnet_30_256x192_coco.pdparams
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/lite_hrnet_30_256x192_coco.pdparams
)
|
[
config
](
./lite_hrnet/lite_hrnet_30_256x192_coco.yml
)
|
| LiteHRNet-30 |Top-Down| 384x288 | 72.5 |
[
lite_hrnet_30_384x288_coco.pdparams
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/lite_hrnet_30_384x288_coco.pdparams
)
|
[
config
](
./lite_hrnet/lite_hrnet_30_384x288_coco.yml
)
|
## 模型库
...
...
@@ -179,7 +152,6 @@ CUDA_VISIBLE_DEVICES=0 python3 tools/infer.py -c configs/keypoint/higherhrnet/hi
```
shell
#导出检测模型
python tools/export_model.py
-c
configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
-o
weights
=
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
#导出关键点模型
...
...
configs/keypoint/README_en.md
浏览文件 @
55ae0d1b
...
...
@@ -161,7 +161,6 @@ CUDA_VISIBLE_DEVICES=0 python3 tools/infer.py -c configs/keypoint/higherhrnet/hi
```
shell
#Export Detection Model
python tools/export_model.py
-c
configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco.yml
-o
weights
=
https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams
...
...
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