|
| 1 | +import cv2 |
| 2 | +import numpy as np |
| 3 | +from .util import Font |
| 4 | + |
| 5 | + |
| 6 | +def get_buffer( |
| 7 | + fnt: Font, img: np.ndarray, |
| 8 | + x: int, y: int, colorful: bool = False, |
| 9 | + contrast: bool = False, |
| 10 | +) -> str: |
| 11 | + buffer = '' |
| 12 | + |
| 13 | + if colorful: |
| 14 | + img = cv2.resize(img, (x, y//2)) |
| 15 | + # np.ndarray(shape=(y, x, 3), dtype=np.uint8) |
| 16 | + # x*y subpixel = x*y pixel = x*y char |
| 17 | + for j in range(y//2): |
| 18 | + for k in range(x): |
| 19 | + buffer += '\x1b[48;2;%d;%d;%dm ' % tuple(img[j, k][-1::-1]) |
| 20 | + buffer += '\x1b[0m\n' |
| 21 | + return buffer |
| 22 | + |
| 23 | + img = cv2.resize(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), (x, y)) |
| 24 | + # np.ndarray(shape=(y, x), dtype=np.uint8) |
| 25 | + # x*y subpixel = x*y/2 pixel = x*y/2 char |
| 26 | + |
| 27 | + if contrast: |
| 28 | + max_pixel = np.max(img) |
| 29 | + min_pixel = np.min(img) |
| 30 | + if max_pixel == min_pixel: |
| 31 | + if max_pixel >= 128: |
| 32 | + img = np.full((y, x), 0xff, dtype=np.uint8) |
| 33 | + else: |
| 34 | + img = np.zeros((y, x), dtype=np.uint8) |
| 35 | + else: |
| 36 | + max_min = max_pixel - min_pixel |
| 37 | + img = (((img.astype(dtype=np.uint16) - min_pixel) * 0xff + |
| 38 | + max_min // 2) // max_min).astype(dtype=np.uint8) |
| 39 | + |
| 40 | + for j in range(y//2): |
| 41 | + for k in range(x): |
| 42 | + buffer += fnt.get(img[j*2, k], img[j*2+1, k]) |
| 43 | + buffer += '\n' |
| 44 | + |
| 45 | + return buffer |
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