Source code for jina.types.document.converters

import struct
import zlib

import numpy as np

def _png_to_buffer_1d(arr: 'np.ndarray', width: int, height: int) -> bytes:
    pixels = []
    arr = 255 - arr
    for p in arr[::-1]:
        pixels.extend([p, p, p, 255])
    buf = bytearray(pixels)

    # reverse the vertical line order and add null bytes at the start
    width_byte_4 = width * 4
    raw_data = b''.join(
        b'\x00' + buf[span : span + width_byte_4]
        for span in range((height - 1) * width_byte_4, -1, -width_byte_4)

    def png_pack(png_tag, data):
        chunk_head = png_tag + data
        return (
            struct.pack('!I', len(data))
            + chunk_head
            + struct.pack('!I', 0xFFFFFFFF & zlib.crc32(chunk_head))

    png_bytes = b''.join(
            png_pack(b'IHDR', struct.pack('!2I5B', width, height, 8, 6, 0, 0, 0)),
            png_pack(b'IDAT', zlib.compress(raw_data, 9)),
            png_pack(b'IEND', b''),

    return png_bytes

def _pillow_image_to_buffer(image, image_format: str) -> bytes:
    import io

    img_byte_arr = io.BytesIO(), format=image_format)
    img_byte_arr = img_byte_arr.getvalue()
    return img_byte_arr

[docs]def png_to_buffer(arr: 'np.ndarray', width: int, height: int, resize_method: str): """ Convert png to buffer bytes. :param arr: Data representations of the png. :param width: Width of the png. :param height: Height of the png. :param resize_method: Resize methods (e.g. `NEAREST`, `BILINEAR`, `BICUBIC`, and `LANCZOS`). :return: Png in buffer bytes. """ arr = arr.astype(np.uint8) if arr.ndim == 1: png_bytes = _png_to_buffer_1d(arr, width, height) elif arr.ndim == 2: from PIL import Image im = Image.fromarray(arr).convert('L') im = im.resize((width, height), getattr(Image, resize_method)) png_bytes = _pillow_image_to_buffer(im, image_format='PNG') elif arr.ndim == 3: from PIL import Image im = Image.fromarray(arr).convert('RGB') im = im.resize((width, height), getattr(Image, resize_method)) png_bytes = _pillow_image_to_buffer(im, image_format='PNG') else: raise ValueError(f'ndim={len(arr.shape)} array is not supported') return png_bytes
[docs]def to_image_blob(source, color_axis: int = -1) -> 'np.ndarray': """ Convert an image buffer to blob :param source: image bytes buffer :param color_axis: the axis id of the color channel, ``-1`` indicates the color channel info at the last axis :return: image blob """ from PIL import Image raw_img ='RGB') img = np.array(raw_img).astype('float32') if color_axis != -1: img = np.moveaxis(img, -1, color_axis) return img
[docs]def to_datauri( mimetype, data, charset: str = 'utf-8', base64: bool = False, binary: bool = True ): """ Convert data to data URI. :param mimetype: MIME types (e.g. 'text/plain','image/png' etc.) :param data: Data representations. :param charset: Charset may be any character set registered with IANA :param base64: Used to encode arbitrary octet sequences into a form that satisfies the rules of 7bit. Designed to be efficient for non-text 8 bit and binary data. Sometimes used for text data that frequently uses non-US-ASCII characters. :param binary: True if from binary data False for other data (e.g. text) :return: URI data """ parts = ['data:', mimetype] if charset is not None: parts.extend([';charset=', charset]) if base64: parts.append(';base64') from base64 import encodebytes as encode64 if binary: encoded_data = encode64(data).decode(charset).replace('\n', '').strip() else: encoded_data = encode64(data).strip() else: from urllib.parse import quote_from_bytes, quote if binary: encoded_data = quote_from_bytes(data) else: encoded_data = quote(data) parts.extend([',', encoded_data]) return ''.join(parts)