This tool kit is intended to help people who are interested in using Numenta's 
nupic on vision related problems.

An simple example of how these tools can be used:

# get training data set
images, tags = dataset_readers.getImagesAndTags(trainingXMLFileName)
# convert images to bit vectors
vectors = image_encoders.imagesToVectors(images)

# train nupic on the data set for 10 repetitions
for i in range(10)
  VisionTestBench.train(vectors,tags)

# get testing data set
images, tags = getImagesAndTags(testingXMLFileName)
# convert images to bit vectors
vectors = imagesToVectors(images)
# test nupic's image recognition accuracy
test(vectors,tags)



Look at train_and_test.py for a more detailed example.


This tool kit is intended to help people who are interested in using Numenta's 
nupic on vision related problems.

An simple example of how these tools can be used:

<h3># get training data set </h3>
images, tags = dataset_readers.getImagesAndTags(trainingXMLFileName)
<h3># convert images to bit vectors </h3>
vectors = image_encoders.imagesToVectors(images)

<h3># train nupic on the data set for 10 repetitions </h3>
for i in range(10)
  VisionTestBench.train(vectors,tags)

<h3># get testing data set </h3>
images, tags = getImagesAndTags(testingXMLFileName)
<h3># convert images to bit vectors </h3>
vectors = imagesToVectors(images)
<h3># test nupic's image recognition accuracy </h3>
test(vectors,tags)



Look at train_and_test.py for a more detailed example.


Put HTML tags around comments in code example to keep markdown from making the comments HUGE.
Put HTML tags around comments in code example to keep markdown from
making the comments HUGE.
