def run(main=None, argv=None):
    """Runs the program with an optional 'main' function and 'argv' list."""

    # Define help flags.
    _define_help_flags()

    # Parse known flags.
    argv = flags.FLAGS(_sys.argv if argv is None else argv, known_only=True)

    main = main  # or _sys.modules['__main__'].main
Example #2
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def run(main=None, argv=None):
    """Runs the program with an optional 'main' function and 'argv' list."""

    # Define help flags.
    _define_help_flags()

    # Parse known flags.
    argv = flags.FLAGS(_sys.argv if argv is None else argv, known_only=True)

    main = main or _sys.modules['__main__'].main

    # Call the main function, passing through any arguments
    # to the final program.
    _sys.exit(main(argv))
Example #3
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def run(main=None, argv=None):
    """Runs the program with an optional 'main' function and 'argv' list."""

    # Define help flags.
    _define_help_flags()

    # Parse flags.
    try:
        argv = flags.FLAGS(_sys.argv if argv is None else argv)
    except flags.Error as error:
        _sys.stderr.write('FATAL Flags parsing error: %s\n' % error)
        _sys.stderr.write(
            'Pass --helpshort or --helpfull to see help on flags.\n')
        _sys.exit(1)

    main = main or _sys.modules['__main__'].main

    # Call the main function, passing through any arguments
    # to the final program.
    _sys.exit(main(argv))
Example #4
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def _parse_flags_tolerate_undef(argv):
    """Parse args, returning any unknown flags (ABSL defaults to crashing)."""
    return flags.FLAGS(_sys.argv if argv is None else argv, known_only=True)
Example #5
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@app.route('/', methods=['POST'])
def index():
    ret = {'result': []}
    if not request.json or 'images' not in request.json:
        return json.dumps(ret)
    result = []
    for idx, image in enumerate(request.json['images']):
        name = image['name']
        content = base64.b64decode(image['content'])
        image = np.asarray(bytearray(content), dtype="uint8")
        channel = cv2.IMREAD_GRAYSCALE if FLAGS.image_channel == 1 else cv2.IMREAD_COLOR
        image_cv = cv2.imdecode(image, channel)
        image_cv = cv2.resize(image_cv, (FLAGS.image_width, FLAGS.image_height))
        if FLAGS.image_channel == 1 :
            image_cv = np.expand_dims(image_cv, axis = 2)
        result.append(image_cv)
    while len(result) % FLAGS.batch_size : result.append(result[-1])
    decode_text = []
    for i in range(0, len(result), FLAGS.batch_size):
        decode_text += infer.infer(result[i:i+FLAGS.batch_size])
    for idx, image in enumerate(request.json['images']):
        ret['result'].append({'name': image['name'],
                                'text' : decode_text[idx]})
    return json.dumps(ret)
if __name__ == '__main__':
    if tf_version <= '1.4.':
        flags.FLAGS._parse_flags()
    else :
        flags.FLAGS(sys.argv)
    app.run(host='0.0.0.0', debug=False, port=18888, threaded=True)