NextCloud/dlib
1
0
Fork 0
mirror of https://github.com/davisking/dlib.git synced 2024-11-01 10:14:53 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added clarifying comments.

Browse Source
This commit is contained in:
Davis King 2013-06-11 22:18:59 -04:00
parent a2b6ed1600
commit 54d7150a0d
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
python_examples/sequence_segmenter.py
View File

@ -77,8 +77,8 @@ def print_segment(sentence, names):
# Now lets make some training data. Each example is a sentence as well as a set of ranges # Now lets make some training data. Each example is a sentence as well as a set of ranges
# which indicate the locations of any names. # which indicate the locations of any names.
names = dlib.ranges() names = dlib.ranges() # make an array of dlib.range objects.
segments = dlib.rangess() segments = dlib.rangess() # make an array of arrays of dlib.range objects.
sentences = [] sentences = []
@ -126,10 +126,12 @@ names.clear()
# representation depending on our needs. In this example, we show how to do it both ways. # representation depending on our needs. In this example, we show how to do it both ways.
use_sparse_vects = False use_sparse_vects = False
if use_sparse_vects: if use_sparse_vects:
# Make an array of arrays of dlib.sparse_vector objects.
training_sequences = dlib.sparse_vectorss() training_sequences = dlib.sparse_vectorss()
for s in sentences: for s in sentences:
training_sequences.append(sentence_to_sparse_vectors(s)) training_sequences.append(sentence_to_sparse_vectors(s))
else: else:
# Make an array of arrays of dlib.vector objects.
training_sequences = dlib.vectorss() training_sequences = dlib.vectorss()
for s in sentences: for s in sentences:
training_sequences.append(sentence_to_vectors(s)) training_sequences.append(sentence_to_vectors(s))