Beginner score
78/100
Competition workspace
适合已有 Python 深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者，尤其适合想学习基于骨骼点时序数据进行细粒度人体动作识别的人。参赛者需要能处理由 OpenPose 提取并以 .npy 保存的逐帧骨骼点数据。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
78/100
Learning value
72/100
Estimated effort
4-12 hours
Metric
Official scoring is published on the Ba…
适合已有 Python 深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者，尤其适合想学习基于骨骼点时序数据进行细粒度人体动作识别的人。参赛者需要能处理由 OpenPose 提取并以 .npy 保存的逐帧骨骼点数据。
Taken from the competition's official page.
Competition skeleton-point dataset stored in .npy format.
FSD-10 figure-skating dataset paper.
Motion-Centered Figure Skating Dataset paper.
Temporal convolutional networks action-analysis paper.
Spatial temporal graph convolutional networks paper.
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0
骨骼点时序数据处理
动作识别模型
时空图卷积网络（ST-GCN）
NumPy .npy 文件读写
CSV 结果文件生成
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点在于动作类别的差异往往只出现在少数几个帧中，但模型同时又必须保留完整时序信息来判断动作大类和处理“多义帧”。因此，不能只依赖单帧姿态特征，而要建模骨骼点随时间变化的细粒度差异。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
A pre-flight checklist for image competitions when you only have free cloud GPU access.
Your First CV Baseline ChecklistUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.