Normalize motion sequences. Args: mean_path (str): Path of mean file. std_path (str): Path of std file.
| 99 | |
| 100 | @PIPELINES.register_module() |
| 101 | class Normalize(object): |
| 102 | """Normalize motion sequences. |
| 103 | |
| 104 | Args: |
| 105 | mean_path (str): Path of mean file. |
| 106 | std_path (str): Path of std file. |
| 107 | """ |
| 108 | |
| 109 | def __init__(self, mean_path, std_path, eps=1e-9): |
| 110 | self.mean = np.load(mean_path) |
| 111 | self.std = np.load(std_path) |
| 112 | self.eps = eps |
| 113 | |
| 114 | def __call__(self, results): |
| 115 | motion = results['motion'] |
| 116 | if motion.shape[-1] < self.mean.shape[0]: |
| 117 | # print('Warning: padding motion') |
| 118 | motion = np.concatenate([motion, np.zeros_like(motion[..., :self.mean.shape[0]-motion.shape[-1]])], axis=-1) |
| 119 | elif motion.shape[-1] > self.mean.shape[0]: |
| 120 | motion = motion[..., :self.mean.shape[0]] |
| 121 | motion = (motion - self.mean) / (self.std + self.eps) |
| 122 | results['motion'] = motion |
| 123 | results['motion_norm_mean'] = self.mean |
| 124 | results['motion_norm_std'] = self.std |
| 125 | return results |
nothing calls this directly
no outgoing calls
no test coverage detected