Пример #1
0
def run():
    """
    Prints Expredicted array of predictions from the model
    :return: view
    """
    file_path = file_upload(request, PATH)
    maximum_index = find_max(run_prediction(resize(file_path)))
    display_image(resize(file_path)[maximum_index])
    return jsonify("Success")
Пример #2
0
    def __init__(self, width, height):
        self._width = width
        self._height = height

        self._obj = api.new()
        api.resize(self._obj, self._width, self._height)

        self._code = api.structures.Code()
        self._data = api.structures.Data()
Пример #3
0
    def __init__(self, width, height):
        self._width = width
        self._height = height

        self._obj = api.new()
        api.resize(self._obj, self._width, self._height)

        self._code = api.structures.Code()
        self._data = api.structures.Data()
Пример #4
0
def decode(image):
    """Recognize image and return generator with all the available QR codes

    Currently supports only PIL Image object as an parameter
    """

    # TODO: `image` type check

    # Convert to grayscale mode
    if image.mode not in ('1', 'L'):
        image = image.convert('L')

    width, height = image.size
    pixels = image.load()

    obj = api.new()
    api.resize(obj, width, height)
    buffer = api.begin(obj, width, height)

    # Fill buffer with a image pixels. One cell, one pixel.
    for idx, pixel in enumerate(converters.pil(image)):
        buffer[idx] = pixel

    # Finish codes identification
    api.end(obj)

    code = api.structures.Code()
    data = api.structures.Data()

    for i in range(api.count(obj)):

        # Extract first code
        api.extract(obj, i, code)
        api.decode(code, data)

        yield Code(
            tuple([(corner.x, corner.y) for corner in code.corners]),
            code.size,
            data.version,
            data.ecc_level,
            data.data_type,
            ctypes.string_at(data.payload, data.payload_len),
        )

    api.destroy(obj)
Пример #5
0
def decode(image):
    """Recognize image and return generator with all the available QR codes

    Currently supports only PIL Image object as an parameter
    """

    # TODO: `image` type check

    # Convert to grayscale mode
    if image.mode not in ('1', 'L'):
        image = image.convert('L')

    width, height = image.size
    pixels = image.load()

    obj = api.new()
    api.resize(obj, width, height)
    buffer = api.begin(obj, width, height)

    # Fill buffer with a image pixels. One cell, one pixel.
    for idx, pixel in enumerate(converters.pil(image)):
        buffer[idx] = pixel

    # Finish codes identification
    api.end(obj)

    code = api.structures.Code()
    data = api.structures.Data()

    for i in range(api.count(obj)):

        # Extract first code
        api.extract(obj, i, code)
        api.decode(code, data)

        yield Code(
            tuple([(corner.x, corner.y) for corner in code.corners]),
            code.size,
            data.version,
            data.ecc_level,
            data.data_type,
            ctypes.string_at(data.payload, data.payload_len),
        )

    api.destroy(obj)