ocr/draw_box.py

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)
        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 box in boxs:
        charPoly = box["charPoly"]
        lu = [charPoly["x0"], charPoly["y0"]]
        ru = [charPoly["x1"], charPoly["y1"]]
        rd = [charPoly["x2"], charPoly["y2"]]
        ld = [charPoly["x3"], charPoly["y3"]]
        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(".webp", ".jpg")
    cv2.imwrite(path_jpg, img_color)

def do_drawbox():
    webps = glob.glob('./out2/*.webp', recursive=False)
    for pth_webp in webps:
        pth_box = pth_webp.replace(".webp", ".boxs")
        draw_box(pth_webp, pth_box)

if __name__ == "__main__":
    do_drawbox()