ppv5 / draw_box.py
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# 关闭弯曲矫正,单字坐标它才准。否则坐标是矫正后图像的坐标
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import json
import glob
from pathlib import Path
import cv2
import numpy as np
def draw_box(pth_webp, pth_boxs):
with open(pth_boxs, encoding='utf-8') as fp:
boxs = json.load(fp)
word_boxes = boxs['text_word_boxes']
word_boxes = word_boxes[::-1] # 逆序
text_word = boxs['text_word']
text_word = text_word[::-1]
rec_texts = boxs['rec_texts']
rec_texts = rec_texts[::-1]
fp.close()
imgData = np.fromfile(pth_webp, dtype=np.uint8)
img = cv2.imdecode(imgData, cv2.IMREAD_UNCHANGED)
if len(img.shape) != 3: # 转彩图
img_color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) # DBNet 原版只能处理彩图,这里转一下
else:
img_color = img.copy()
for arr_word, arr_box in zip( text_word, word_boxes):
for word, box in zip(arr_word, arr_box):
lu = [box[0], box[1]]
rd = [box[2], box[3]]
ld = [box[0], box[3]]
ru = [box[2], box[1]]
points = np.array([lu, ru, rd, ld])
cv2.polylines(img_color, [points], isClosed=True, color=( # 多边形,框得比较全
100, 0, 255), thickness=2) # 只画线,不填充
cv2.imshow("box", img_color)
cv2.waitKey(0)
path_jpg = pth_webp.replace(".png", ".jpg")
cv2.imwrite(path_jpg, img_color)
def do_drawbox():
pth_box = 'output/SWX0005_00000_00001_res.json'
pth_webp = 'output/SWX0005_00000_00001_input_img.png'
draw_box(pth_webp, pth_box)
if __name__ == "__main__":
do_drawbox()