pl.addMiner(FaceVectoriser(),
'faceVec') # Encodes images of faces as LBP vectors.
pl.addMiner(FaceClusterer(n_clusters=None),
'faceClust') # Assigns faces/face vectors to clusters
pl.addMiner(FaceSearchMiner(faceFolder='./Frontend-Web/faces/'),
'faceSearchMine'
) # Formats the output from the FaceClusterer to be searchable
pl.addMiner(TrieMiner(),
'trieminer') # Processes list of SRTChunks into a trie
pl.addMiner(TrieMiner(),
'trieminer2') # Processes list of SRTChunks into a trie
pl.addMiner(TrieMiner(),
'trieminer3') # Processes list of SRTChunks into a trie
pl.addMiner(TrieMiner(),
'trieminerSR') # Processes list of SRTChunks into a trie
pl.addSearch(TrieSearch(), 'triesearch') # searches a trie
pl.addSearch(
FaceSearch(),
'faceSearch') # Searches faces by cluster id across a timeline
print ""
# we pre-specify the timelines we want to offer...
# Test timelines
timelines['subtitles'] = Timeline(
"Auto Subtitles", # prettyName
['fail', 'ytautosub'], # acquireTag
['fileline', 'vssminer', 'trieminer'], # minerTags in order
['fileline', 'vssminer', 'trieminer'], # corpusTags in order
