Kick vs Punch
收藏资源简介：
This is a pre-processed version of the dataset saved in numpy format. The original dataset is obtained from CMU-MOCAP. The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows: loaded_data = np.load("KickvsPunch.npz") Xtr = loaded_data['Xtr'] # Training data of shape (16, 841, 62) Ytr = loaded_data['Ytr'] # Training labels of shape (16, 1) Xte = loaded_data['Xte'] # Test data of shape (10, 841, 62) Yte = loaded_data['Yte'] # Test labels of shape (10, 1)
本数据集为经过预处理的版本，以NumPy格式存储。其原始数据集源自CMU-MOCAP数据集。 该数据集的数据为形状为[n_samples, time_steps, n_variables]的三维数组。数据加载代码如下： loaded_data = np.load("KickvsPunch.npz") Xtr = loaded_data['Xtr'] # 训练数据，形状为(16, 841, 62) Ytr = loaded_data['Ytr'] # 训练标签，形状为(16, 1) Xte = loaded_data['Xte'] # 测试数据，形状为(10, 841, 62) Yte = loaded_data['Yte'] # 测试标签，形状为(10, 1)
