|
|
| 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] |
| 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: |
| img_color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) |
| img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) |
| 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=( |
| 100, 0, 255), thickness=2) |
| |
| 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() |
|
|