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Merge pull request tensorflow#64 from xenyal/master
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inception/inception/image_processing.py

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"""Read and preprocess image data.
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Image processing occurs on a single image at a time. Image are read and
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preprocessed in pararllel across mulitple threads. The resulting images
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preprocessed in parallel across multiple threads. The resulting images
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are concatenated together to form a single batch for training or evaluation.
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-- Provide processed image data for a network:
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tf.app.flags.DEFINE_integer('num_readers', 4,
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"""Number of parallel readers during train.""")
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# Images are preprocessed asynchronously using multiple threads specifed by
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# Images are preprocessed asynchronously using multiple threads specified by
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# --num_preprocss_threads and the resulting processed images are stored in a
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# random shuffling queue. The shuffling queue dequeues --batch_size images
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# for processing on a given Inception tower. A larger shuffling queue guarantees

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