RapidOCRDemo / utils.py
SWHL's picture
Update files
15f636b
raw
history blame
3.03 kB
# -*- encoding: utf-8 -*-
# @Author: SWHL
# @Contact: [email protected]
import math
import random
import time
from pathlib import Path
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
def draw_ocr_box_txt(image, boxes, txts, font_path,
scores=None, text_score=0.5):
h, w = image.height, image.width
img_left = image.copy()
img_right = Image.new('RGB', (w, h), (255, 255, 255))
random.seed(0)
draw_left = ImageDraw.Draw(img_left)
draw_right = ImageDraw.Draw(img_right)
for idx, (box, txt) in enumerate(zip(boxes, txts)):
if scores is not None and float(scores[idx]) < text_score:
continue
color = (random.randint(0, 255),
random.randint(0, 255),
random.randint(0, 255))
box = [tuple(v) for v in box]
draw_left.polygon(box, fill=color)
draw_right.polygon([box[0][0], box[0][1],
box[1][0], box[1][1],
box[2][0], box[2][1],
box[3][0], box[3][1]],
outline=color)
box_height = math.sqrt((box[0][0] - box[3][0])**2
+ (box[0][1] - box[3][1])**2)
box_width = math.sqrt((box[0][0] - box[1][0])**2
+ (box[0][1] - box[1][1])**2)
if box_height > 2 * box_width:
font_size = max(int(box_width * 0.9), 10)
font = ImageFont.truetype(font_path, font_size,
encoding="utf-8")
cur_y = box[0][1]
for c in txt:
char_size = font.getsize(c)
draw_right.text((box[0][0] + 3, cur_y), c,
fill=(0, 0, 0), font=font)
cur_y += char_size[1]
else:
font_size = max(int(box_height * 0.8), 10)
font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
draw_right.text([box[0][0], box[0][1]], txt,
fill=(0, 0, 0), font=font)
img_left = Image.blend(image, img_left, 0.5)
img_show = Image.new('RGB', (w * 2, h), (255, 255, 255))
img_show.paste(img_left, (0, 0, w, h))
img_show.paste(img_right, (w, 0, w * 2, h))
return np.array(img_show)
def visualize(image_path, boxes, txts, scores,
font_path="./fonts/FZYTK.TTF"):
image = Image.open(image_path)
draw_img = draw_ocr_box_txt(image, boxes,
txts, font_path,
scores,
text_score=0.5)
draw_img_save = Path("./inference_results/")
if not draw_img_save.exists():
draw_img_save.mkdir(parents=True, exist_ok=True)
time_stamp = time.strftime(
'%Y-%m-%d-%H-%M-%S', time.localtime(time.time()))
image_save = str(draw_img_save / f'{time_stamp}_{Path(image_path).name}')
cv2.imwrite(image_save, draw_img[:, :, ::-1])
return image_save