Spaces:
Runtime error
Runtime error
| # 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) | |
| #---------------------------------------------------------------------------- | |
| 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) | |
| 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 | |
| #---------------------------------------------------------------------------- | |
| 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) | |
| #---------------------------------------------------------------------------- | |
| 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) | |
| #---------------------------------------------------------------------------- | |
| def get_texture(string, bilinear=True, mipmap=True, **kwargs): | |
| return gl_utils.Texture(image=get_array(string, **kwargs), bilinear=bilinear, mipmap=mipmap) | |
| #---------------------------------------------------------------------------- | |