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PP-TinyPose Model Deployment

Model Description

Now FastDeploy supports the deployment of the following models

Prepare PP-TinyPose Deployment Model

Export the PP-TinyPose model. Please refer to Model Export

Attention: The exported PP-TinyPose model contains three files, including model.pdmodelmodel.pdiparams and infer_cfg.yml. FastDeploy will get the pre-processing information for inference from yaml files.

Download Pre-trained Model

For developers' testing, part of the PP-TinyPose exported models are provided below. Developers can download and use them directly.

Model Parameter File Size Input Shape AP(Service Data set) AP(COCO Val) FLOPS Single/Multi-person Inference Time (FP32) Single/Multi-person Inference Time(FP16)
PP-TinyPose-128x96 5.3MB 128x96 84.3% 58.4% 81.56 M 4.57ms 3.27ms
PP-TinyPose-256x192 5.3M 256x96 91.0% 68.3% 326.24M 14.07ms 8.33ms

Note

  • The keypoint detection model uses COCO train2017 and AI Challenger trainset as the training sets and COCO person keypoints val2017 as the test set.
  • The detection frame, through which we get the accuracy of the keypoint detection model, is obtained from the ground truth annotation.
  • The speed test environment is Qualcomm Snapdragon 865 with 4-thread inference under arm8.

For more information: refer to PP-TinyPose official document

Detailed Deployment Tutorials