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c2d51430
编写于
5月 24, 2022
作者:
J
JYChen
提交者:
GitHub
5月 24, 2022
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差异文件
fix tinypose model link (#6045)
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configs/keypoint/README.md
configs/keypoint/README.md
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configs/keypoint/README_en.md
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configs/keypoint/README.md
浏览文件 @
c2d51430
...
@@ -37,7 +37,7 @@ PaddleDetection 关键点检测能力紧跟业内最新最优算法方案,包
...
@@ -37,7 +37,7 @@ PaddleDetection 关键点检测能力紧跟业内最新最优算法方案,包
| 检测模型 | 关键点模型 | 输入尺寸 | COCO数据集精度 | 平均推理耗时 (FP16) | 参数量 (M) | Flops (G) | 模型权重 | Paddle-Lite部署模型(FP16) |
| 检测模型 | 关键点模型 | 输入尺寸 | COCO数据集精度 | 平均推理耗时 (FP16) | 参数量 (M) | Flops (G) | 模型权重 | Paddle-Lite部署模型(FP16) |
| :----------------------------------------------------------- | :------------------------------------ | :------------------------------: | :-----------------------------: | :------------------------------------: | --------------------------- | :-------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
| :----------------------------------------------------------- | :------------------------------------ | :------------------------------: | :-----------------------------: | :------------------------------------: | --------------------------- | :-------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
|
[
PicoDet-S-Pedestrian
](
../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_128x96.yml
)
| 检测:192x192
<br>
关键点:128x96 | 检测mAP:29.0
<br>
关键点AP:58.1 | 检测耗时:2.37ms
<br>
关键点耗时:3.27ms | 检测:1.18
<br/>
关键点:1.36 | 检测:0.35
<br/>
关键点:0.08 |
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams
)
|
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_128x96.yml
)
| 检测:192x192
<br>
关键点:128x96 | 检测mAP:29.0
<br>
关键点AP:58.1 | 检测耗时:2.37ms
<br>
关键点耗时:3.27ms | 检测:1.18
<br/>
关键点:1.36 | 检测:0.35
<br/>
关键点:0.08 |
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams
)
|
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_256x192.yml
)
| 检测:320x320
<br>
关键点:256x192 | 检测mAP:38.5
<br>
关键点AP:68.8 | 检测耗时:6.30ms
<br>
关键点耗时:8.33ms | 检测:1.18
<br/>
关键点:1.36 | 检测:0.97
<br/>
关键点:0.32 |
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_
128x96
.pdparams
)
|
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_256x192.yml
)
| 检测:320x320
<br>
关键点:256x192 | 检测mAP:38.5
<br>
关键点AP:68.8 | 检测耗时:6.30ms
<br>
关键点耗时:8.33ms | 检测:1.18
<br/>
关键点:1.36 | 检测:0.97
<br/>
关键点:0.32 |
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_
256x192
.pdparams
)
|
[
检测
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb
)
<br>
[
关键点
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb
)
|
*
详细关于PP-TinyPose的使用请参考
[
文档
](
(./tiny_pose/README.md
)
)。
*
详细关于PP-TinyPose的使用请参考
[
文档
](
(./tiny_pose/README.md
)
)。
...
...
configs/keypoint/README_en.md
浏览文件 @
c2d51430
...
@@ -41,7 +41,7 @@ At the same time, PaddleDetection provides [PP-TinyPose](./tiny_pose/README.md)
...
@@ -41,7 +41,7 @@ At the same time, PaddleDetection provides [PP-TinyPose](./tiny_pose/README.md)
| Detection Model | Keypoint Model | Input Size | Accuracy of COCO | Average Inference Time (FP16) | Params (M) | Flops (G) | Model Weight | Paddle-Lite Inference Model(FP16) |
| Detection Model | Keypoint Model | Input Size | Accuracy of COCO | Average Inference Time (FP16) | Params (M) | Flops (G) | Model Weight | Paddle-Lite Inference Model(FP16) |
| :----------------------------------------------------------- | :------------------------------------ | :-------------------------------------: | :--------------------------------------: | :-----------------------------------: | :--------------------------------: | :--------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
| :----------------------------------------------------------- | :------------------------------------ | :-------------------------------------: | :--------------------------------------: | :-----------------------------------: | :--------------------------------: | :--------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
|
[
PicoDet-S-Pedestrian
](
../../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_128x96.yml
)
| Detection:192x192
<br>
Keypoint:128x96 | Detection mAP:29.0
<br>
Keypoint AP:58.1 | Detection:2.37ms
<br>
Keypoint:3.27ms | Detection:1.18
<br/>
Keypoint:1.36 | Detection:0.35
<br/>
Keypoint:0.08 |
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams
)
|
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_128x96.yml
)
| Detection:192x192
<br>
Keypoint:128x96 | Detection mAP:29.0
<br>
Keypoint AP:58.1 | Detection:2.37ms
<br>
Keypoint:3.27ms | Detection:1.18
<br/>
Keypoint:1.36 | Detection:0.35
<br/>
Keypoint:0.08 |
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams
)
|
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_256x192.yml
)
| Detection:320x320
<br>
Keypoint:256x192 | Detection mAP:38.5
<br>
Keypoint AP:68.8 | Detection:6.30ms
<br>
Keypoint:8.33ms | Detection:1.18
<br/>
Keypoint:1.36 | Detection:0.97
<br/>
Keypoint:0.32 |
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_
128x96
.pdparams
)
|
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb
)
|
|
[
PicoDet-S-Pedestrian
](
../../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml
)
|
[
PP-TinyPose
](
./tinypose_256x192.yml
)
| Detection:320x320
<br>
Keypoint:256x192 | Detection mAP:38.5
<br>
Keypoint AP:68.8 | Detection:6.30ms
<br>
Keypoint:8.33ms | Detection:1.18
<br/>
Keypoint:1.36 | Detection:0.97
<br/>
Keypoint:0.32 |
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_
256x192
.pdparams
)
|
[
Detection
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb
)
<br>
[
Keypoint
](
https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb
)
|
*
Specific documents of PP-TinyPose, please refer to
[
Document
](
(./tiny_pose/README.md
)
)。
*
Specific documents of PP-TinyPose, please refer to
[
Document
](
(./tiny_pose/README.md
)
)。
...
...
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