Vehicle-Anti-Theft-Face-Recognition-System/venv/Lib/site-packages/PIL/ImageQt.py

#
# The Python Imaging Library.
# $Id$
#
# a simple Qt image interface.
#
# history:
# 2006-06-03 fl: created
# 2006-06-04 fl: inherit from QImage instead of wrapping it
# 2006-06-05 fl: removed toimage helper; move string support to ImageQt
# 2013-11-13 fl: add support for Qt5 (aurelien.ballier@cyclonit.com)
#
# Copyright (c) 2006 by Secret Labs AB
# Copyright (c) 2006 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#

import sys
from io import BytesIO

from . import Image
from ._util import isPath

qt_versions = [["5", "PyQt5"], ["side2", "PySide2"]]

# If a version has already been imported, attempt it first
qt_versions.sort(key=lambda qt_version: qt_version[1] in sys.modules, reverse=True)
for qt_version, qt_module in qt_versions:
    try:
        if qt_module == "PyQt5":
            from PyQt5.QtGui import QImage, qRgba, QPixmap
            from PyQt5.QtCore import QBuffer, QIODevice
        elif qt_module == "PySide2":
            from PySide2.QtGui import QImage, qRgba, QPixmap
            from PySide2.QtCore import QBuffer, QIODevice
    except (ImportError, RuntimeError):
        continue
    qt_is_installed = True
    break
else:
    qt_is_installed = False
    qt_version = None


def rgb(r, g, b, a=255):
    """(Internal) Turns an RGB color into a Qt compatible color integer."""
    # use qRgb to pack the colors, and then turn the resulting long
    # into a negative integer with the same bitpattern.
    return qRgba(r, g, b, a) & 0xFFFFFFFF


def fromqimage(im):
    """
    :param im: A PIL Image object, or a file name
    (given either as Python string or a PyQt string object)
    """
    buffer = QBuffer()
    buffer.open(QIODevice.ReadWrite)
    # preserve alpha channel with png
    # otherwise ppm is more friendly with Image.open
    if im.hasAlphaChannel():
        im.save(buffer, "png")
    else:
        im.save(buffer, "ppm")

    b = BytesIO()
    b.write(buffer.data())
    buffer.close()
    b.seek(0)

    return Image.open(b)


def fromqpixmap(im):
    return fromqimage(im)
    # buffer = QBuffer()
    # buffer.open(QIODevice.ReadWrite)
    # # im.save(buffer)
    # # What if png doesn't support some image features like animation?
    # im.save(buffer, 'ppm')
    # bytes_io = BytesIO()
    # bytes_io.write(buffer.data())
    # buffer.close()
    # bytes_io.seek(0)
    # return Image.open(bytes_io)


def align8to32(bytes, width, mode):
    """
    converts each scanline of data from 8 bit to 32 bit aligned
    """

    bits_per_pixel = {"1": 1, "L": 8, "P": 8}[mode]

    # calculate bytes per line and the extra padding if needed
    bits_per_line = bits_per_pixel * width
    full_bytes_per_line, remaining_bits_per_line = divmod(bits_per_line, 8)
    bytes_per_line = full_bytes_per_line + (1 if remaining_bits_per_line else 0)

    extra_padding = -bytes_per_line % 4

    # already 32 bit aligned by luck
    if not extra_padding:
        return bytes

    new_data = []
    for i in range(len(bytes) // bytes_per_line):
        new_data.append(
            bytes[i * bytes_per_line : (i + 1) * bytes_per_line]
            + b"\x00" * extra_padding
        )

    return b"".join(new_data)


def _toqclass_helper(im):
    data = None
    colortable = None

    # handle filename, if given instead of image name
    if hasattr(im, "toUtf8"):
        # FIXME - is this really the best way to do this?
        im = str(im.toUtf8(), "utf-8")
    if isPath(im):
        im = Image.open(im)

    if im.mode == "1":
        format = QImage.Format_Mono
    elif im.mode == "L":
        format = QImage.Format_Indexed8
        colortable = []
        for i in range(256):
            colortable.append(rgb(i, i, i))
    elif im.mode == "P":
        format = QImage.Format_Indexed8
        colortable = []
        palette = im.getpalette()
        for i in range(0, len(palette), 3):
            colortable.append(rgb(*palette[i : i + 3]))
    elif im.mode == "RGB":
        data = im.tobytes("raw", "BGRX")
        format = QImage.Format_RGB32
    elif im.mode == "RGBA":
        data = im.tobytes("raw", "BGRA")
        format = QImage.Format_ARGB32
    else:
        raise ValueError("unsupported image mode %r" % im.mode)

    __data = data or align8to32(im.tobytes(), im.size[0], im.mode)
    return {"data": __data, "im": im, "format": format, "colortable": colortable}


if qt_is_installed:

    class ImageQt(QImage):
        def __init__(self, im):
            """
            An PIL image wrapper for Qt.  This is a subclass of PyQt's QImage
            class.

            :param im: A PIL Image object, or a file name (given either as
                Python string or a PyQt string object).
            """
            im_data = _toqclass_helper(im)
            # must keep a reference, or Qt will crash!
            # All QImage constructors that take data operate on an existing
            # buffer, so this buffer has to hang on for the life of the image.
            # Fixes https://github.com/python-pillow/Pillow/issues/1370
            self.__data = im_data["data"]
            super().__init__(
                self.__data,
                im_data["im"].size[0],
                im_data["im"].size[1],
                im_data["format"],
            )
            if im_data["colortable"]:
                self.setColorTable(im_data["colortable"])


def toqimage(im):
    return ImageQt(im)


def toqpixmap(im):
    # # This doesn't work. For now using a dumb approach.
    # im_data = _toqclass_helper(im)
    # result = QPixmap(im_data['im'].size[0], im_data['im'].size[1])
    # result.loadFromData(im_data['data'])
    # Fix some strange bug that causes
    if im.mode == "RGB":
        im = im.convert("RGBA")

    qimage = toqimage(im)
    return QPixmap.fromImage(qimage)