gui_utils/text_utils.py - main - githubmirror/DragGAN

gui_utils/text_utils.py
123 строки6 KB
Xingang Pan
DragGAN code
25 июн 2023, 12:20
25 июн 2023, 12:203725ebb
# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto.  Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.

import functools
from typing import Optional

import dnnlib
import numpy as np
import PIL.Image
import PIL.ImageFont
import scipy.ndimage

from . import gl_utils

#----------------------------------------------------------------------------

def get_default_font():
    url = 'http://fonts.gstatic.com/s/opensans/v17/mem8YaGs126MiZpBA-U1UpcaXcl0Aw.ttf' # Open Sans regular
    return dnnlib.util.open_url(url, return_filename=True)

#----------------------------------------------------------------------------

@functools.lru_cache(maxsize=None)
def get_pil_font(font=None, size=32):
    if font is None:
        font = get_default_font()
    return PIL.ImageFont.truetype(font=font, size=size)

#----------------------------------------------------------------------------

def get_array(string, *, dropshadow_radius: int=None, **kwargs):
    if dropshadow_radius is not None:
        offset_x = int(np.ceil(dropshadow_radius*2/3))
        offset_y = int(np.ceil(dropshadow_radius*2/3))
        return _get_array_priv(string, dropshadow_radius=dropshadow_radius, offset_x=offset_x, offset_y=offset_y, **kwargs)
    else:
        return _get_array_priv(string, **kwargs)

@functools.lru_cache(maxsize=10000)
def _get_array_priv(
    string: str, *,
    size: int = 32,
    max_width: Optional[int]=None,
    max_height: Optional[int]=None,
    min_size=10,
    shrink_coef=0.8,
    dropshadow_radius: int=None,
    offset_x: int=None,
    offset_y: int=None,
    **kwargs
):
    cur_size = size
    array = None
    while True:
        if dropshadow_radius is not None:
            # separate implementation for dropshadow text rendering
            array = _get_array_impl_dropshadow(string, size=cur_size, radius=dropshadow_radius, offset_x=offset_x, offset_y=offset_y, **kwargs)
        else:
            array = _get_array_impl(string, size=cur_size, **kwargs)
        height, width, _ = array.shape
        if (max_width is None or width <= max_width) and (max_height is None or height <= max_height) or (cur_size <= min_size):
            break
        cur_size = max(int(cur_size * shrink_coef), min_size)
    return array

#----------------------------------------------------------------------------

@functools.lru_cache(maxsize=10000)
def _get_array_impl(string, *, font=None, size=32, outline=0, outline_pad=3, outline_coef=3, outline_exp=2, line_pad: int=None):
    pil_font = get_pil_font(font=font, size=size)
    lines = [pil_font.getmask(line, 'L') for line in string.split('\n')]
    lines = [np.array(line, dtype=np.uint8).reshape([line.size[1], line.size[0]]) for line in lines]
    width = max(line.shape[1] for line in lines)
    lines = [np.pad(line, ((0, 0), (0, width - line.shape[1])), mode='constant') for line in lines]
    line_spacing = line_pad if line_pad is not None else size // 2
    lines = [np.pad(line, ((0, line_spacing), (0, 0)), mode='constant') for line in lines[:-1]] + lines[-1:]
    mask = np.concatenate(lines, axis=0)
    alpha = mask
    if outline > 0:
        mask = np.pad(mask, int(np.ceil(outline * outline_pad)), mode='constant', constant_values=0)
        alpha = mask.astype(np.float32) / 255
        alpha = scipy.ndimage.gaussian_filter(alpha, outline)
        alpha = 1 - np.maximum(1 - alpha * outline_coef, 0) ** outline_exp
        alpha = (alpha * 255 + 0.5).clip(0, 255).astype(np.uint8)
        alpha = np.maximum(alpha, mask)
    return np.stack([mask, alpha], axis=-1)

#----------------------------------------------------------------------------

@functools.lru_cache(maxsize=10000)
def _get_array_impl_dropshadow(string, *, font=None, size=32, radius: int, offset_x: int, offset_y: int, line_pad: int=None, **kwargs):
    assert (offset_x > 0) and (offset_y > 0)
    pil_font = get_pil_font(font=font, size=size)
    lines = [pil_font.getmask(line, 'L') for line in string.split('\n')]
    lines = [np.array(line, dtype=np.uint8).reshape([line.size[1], line.size[0]]) for line in lines]
    width = max(line.shape[1] for line in lines)
    lines = [np.pad(line, ((0, 0), (0, width - line.shape[1])), mode='constant') for line in lines]
    line_spacing = line_pad if line_pad is not None else size // 2
    lines = [np.pad(line, ((0, line_spacing), (0, 0)), mode='constant') for line in lines[:-1]] + lines[-1:]
    mask = np.concatenate(lines, axis=0)
    alpha = mask

    mask = np.pad(mask, 2*radius + max(abs(offset_x), abs(offset_y)), mode='constant', constant_values=0)
    alpha = mask.astype(np.float32) / 255
    alpha = scipy.ndimage.gaussian_filter(alpha, radius)
    alpha = 1 - np.maximum(1 - alpha * 1.5, 0) ** 1.4
    alpha = (alpha * 255 + 0.5).clip(0, 255).astype(np.uint8)
    alpha = np.pad(alpha, [(offset_y, 0), (offset_x, 0)], mode='constant')[:-offset_y, :-offset_x]
    alpha = np.maximum(alpha, mask)
    return np.stack([mask, alpha], axis=-1)

#----------------------------------------------------------------------------

@functools.lru_cache(maxsize=10000)
def get_texture(string, bilinear=True, mipmap=True, **kwargs):
    return gl_utils.Texture(image=get_array(string, **kwargs), bilinear=bilinear, mipmap=mipmap)

#----------------------------------------------------------------------------