怎么用SBR提升我已经训练好的106关键点检测模型呢？

[gjd2017]

If you are submitting a feature request, please preface the title with [feature request].

If you are submitting a bug report, please fill in the following details.

Which project are you using?

SAN or SBR or TS3 or others?

Issue description

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Code example

Please try to provide a minimal example to repro the bug. Error messages and stack traces are also helpful.

System Info

Please copy and paste the output from our environment collection script (or fill out the checklist below manually).

You can get the script and run it with:

wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py

[D-X-Y]

You can use your pre-trained landmark detection model as the initialization for SBR. To optimize your model with SBR, you need (1) labeled training data (which could be the training data for your pre-training) and (2) unlabeled video data (you can collect them on your own). An example is at here: https://github.com/D-X-Y/landmark-detection/tree/master/SBR#improving-the-detector-by-sbr

Please feel free to re-open the issue if you have more questions.