基于骨骼点的花样滑冰动作识别python源码.zip

上传者: liufang_imei | 上传时间: 2023-03-31 09:30:23 | 文件大小: 33.59MB | 文件类型: ZIP
1.类别定义: 花样滑冰动作包括3个大类,分别为跳跃、旋转和步法,每个大类又包含很多小类。例如,跳跃大类包含:飞利浦三周跳(3Filp)和勾手三周跳(3Lutz)2个小类。然而,这2类跳跃的判别性仅在于一些个别帧的差异。此外,如果想就跳跃小类(3Filp或3Lutz)与旋转小类进行区别,对大部分帧的特征加以使用才能产生较好的判别性。 2.多义帧: 花样滑冰动作不同类别中相似的帧,甚至存在个别帧的特征相同等情况。 3.具体任务: 参赛选手利用比赛提供的训练集数据,构建基于骨骼点的细粒度动作识别模型,完成测试集的动作识别任务。模型识别效果由指标Accuracy排名决定,Accuracy得分越高,则认为该模型的动作识别效果越好。

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