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be754f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | import base64
import io
import numpy as np
from PIL import Image, ImageEnhance
def load_rgb_image(contents: bytes):
return Image.open(io.BytesIO(contents)).convert("RGB")
def preprocess_image(image: Image.Image):
enhancer = ImageEnhance.Color(image)
image = enhancer.enhance(0)
enhancer = ImageEnhance.Contrast(image)
image = enhancer.enhance(2)
return crop_echo_panel(image)
def crop_echo_panel(image: Image.Image):
w, h = image.size
if w <= 640:
return image
target_ratio = 16 / 9
current_ratio = w / h
if current_ratio > target_ratio:
new_w = int(h * target_ratio)
crop_width = w - new_w
right_cut = round(80 * (h / 1080))
left_cut = crop_width - right_cut
image = image.crop((left_cut, 0, w - right_cut, h))
w, h = image.size
left = w * (2 / 3)
upper = 90 * (w / 1920)
right = w
lower = 540 * (w / 1920)
upper = max(0, min(upper, h))
lower = max(0, min(lower, h))
return image.crop((left, upper, right, lower))
def encode_jpeg_base64(image: Image.Image):
buffered = io.BytesIO()
image.save(buffered, format="JPEG")
return base64.b64encode(buffered.getvalue()).decode("utf-8")
def to_ocr_array(image: Image.Image):
return np.array(image)
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