47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
"""
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serialize_images_to_json
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~~~~~~~~~~~~~~~~~~~~~~~~
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Utility to serialize parts of the training and validation data to JSON,
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for use with Javascript. """
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#### Libraries
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# Standard library
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import json
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import sys
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# My library
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sys.path.append('../src/')
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import mnist_loader
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# Third-party libraries
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import numpy as np
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# Number of training and validation data images to serialize
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NTD = 1000
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NVD = 100
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training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
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def make_data_integer(td):
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# This will be slow, due to the loop. It'd be better if numpy did
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# this directly. But numpy.rint followed by tolist() doesn't
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# convert to a standard Python int.
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return [int(x) for x in (td*256).reshape(784).tolist()]
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data = {"training": [
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{"x": [x[0] for x in training_data[j][0].tolist()],
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"y": [y[0] for y in training_data[j][1].tolist()]}
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for j in xrange(NTD)],
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"validation": [
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{"x": [x[0] for x in validation_data[j][0].tolist()],
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"y": validation_data[j][1]}
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for j in xrange(NVD)]}
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f = open("data_1000.json", "w")
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json.dump(data, f)
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f.close()
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