本文整理汇总了Python中analyzer.Analyzer.compute_features方法的典型用法代码示例。如果您正苦于以下问题：Python Analyzer.compute_features方法的具体用法？Python Analyzer.compute_features怎么用？Python Analyzer.compute_features使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类analyzer.Analyzer的用法示例。
在下文中一共展示了Analyzer.compute_features方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: update_music_data
# 需要导入模块: from analyzer import Analyzer [as 别名]
# 或者: from analyzer.Analyzer import compute_features [as 别名]
def update_music_data(self):
analyzer = Analyzer()
music_list = self.banshee.get_tracks()
# delete previously analyzed songs no longer existing in Banshee
for mp3 in self.music_shelve:
if mp3 not in music_list:
del self.music_shelve[mp3]
self.music_shelve.sync()
song_count = len(music_list)
progress = Progress("Analyzing Songs", song_count)
# calculate and save features of new songs
for mp3 in music_list:
if mp3 not in self.music_shelve:
features = analyzer.compute_features(mp3)
if analyzer.valid_features(features):
self.music_shelve[mp3] = features
self.music_shelve.sync()
progress.display()
# convert music data to array
self.music_data = np.array(self.music_shelve.values())