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| import cv2 |
| import os |
| import numpy as np |
| import PIL |
| from PIL import Image, ImageDraw, ImageFont |
|
|
|
|
| def draw_ser_results( |
| image, ocr_results, font_path="doc/fonts/simfang.ttf", font_size=14 |
| ): |
| np.random.seed(2021) |
| color = ( |
| np.random.permutation(range(255)), |
| np.random.permutation(range(255)), |
| np.random.permutation(range(255)), |
| ) |
| color_map = { |
| idx: (color[0][idx], color[1][idx], color[2][idx]) for idx in range(1, 255) |
| } |
| if isinstance(image, np.ndarray): |
| image = Image.fromarray(image) |
| elif isinstance(image, str) and os.path.isfile(image): |
| image = Image.open(image).convert("RGB") |
| img_new = image.copy() |
| draw = ImageDraw.Draw(img_new) |
|
|
| font = ImageFont.truetype(font_path, font_size, encoding="utf-8") |
| for ocr_info in ocr_results: |
| if ocr_info["pred_id"] not in color_map: |
| continue |
| color = color_map[ocr_info["pred_id"]] |
| text = "{}: {}".format(ocr_info["pred"], ocr_info["transcription"]) |
|
|
| if "bbox" in ocr_info: |
| |
| bbox = ocr_info["bbox"] |
| else: |
| |
| bbox = trans_poly_to_bbox(ocr_info["points"]) |
| draw_box_txt(bbox, text, draw, font, font_size, color) |
|
|
| img_new = Image.blend(image, img_new, 0.7) |
| return np.array(img_new) |
|
|
|
|
| def draw_box_txt(bbox, text, draw, font, font_size, color): |
| |
| bbox = ((bbox[0], bbox[1]), (bbox[2], bbox[3])) |
| draw.rectangle(bbox, fill=color) |
|
|
| |
| if int(PIL.__version__.split(".")[0]) < 10: |
| tw = font.getsize(text)[0] |
| th = font.getsize(text)[1] |
| else: |
| left, top, right, bottom = font.getbbox(text) |
| tw, th = right - left, bottom - top |
|
|
| start_y = max(0, bbox[0][1] - th) |
| draw.rectangle( |
| [(bbox[0][0] + 1, start_y), (bbox[0][0] + tw + 1, start_y + th)], |
| fill=(0, 0, 255), |
| ) |
| draw.text((bbox[0][0] + 1, start_y), text, fill=(255, 255, 255), font=font) |
|
|
|
|
| def trans_poly_to_bbox(poly): |
| x1 = np.min([p[0] for p in poly]) |
| x2 = np.max([p[0] for p in poly]) |
| y1 = np.min([p[1] for p in poly]) |
| y2 = np.max([p[1] for p in poly]) |
| return [x1, y1, x2, y2] |
|
|
|
|
| def draw_re_results(image, result, font_path="doc/fonts/simfang.ttf", font_size=18): |
| np.random.seed(0) |
| if isinstance(image, np.ndarray): |
| image = Image.fromarray(image) |
| elif isinstance(image, str) and os.path.isfile(image): |
| image = Image.open(image).convert("RGB") |
| img_new = image.copy() |
| draw = ImageDraw.Draw(img_new) |
|
|
| font = ImageFont.truetype(font_path, font_size, encoding="utf-8") |
| color_head = (0, 0, 255) |
| color_tail = (255, 0, 0) |
| color_line = (0, 255, 0) |
|
|
| for ocr_info_head, ocr_info_tail in result: |
| draw_box_txt( |
| ocr_info_head["bbox"], |
| ocr_info_head["transcription"], |
| draw, |
| font, |
| font_size, |
| color_head, |
| ) |
| draw_box_txt( |
| ocr_info_tail["bbox"], |
| ocr_info_tail["transcription"], |
| draw, |
| font, |
| font_size, |
| color_tail, |
| ) |
|
|
| center_head = ( |
| (ocr_info_head["bbox"][0] + ocr_info_head["bbox"][2]) // 2, |
| (ocr_info_head["bbox"][1] + ocr_info_head["bbox"][3]) // 2, |
| ) |
| center_tail = ( |
| (ocr_info_tail["bbox"][0] + ocr_info_tail["bbox"][2]) // 2, |
| (ocr_info_tail["bbox"][1] + ocr_info_tail["bbox"][3]) // 2, |
| ) |
|
|
| draw.line([center_head, center_tail], fill=color_line, width=5) |
|
|
| img_new = Image.blend(image, img_new, 0.5) |
| return np.array(img_new) |
|
|
|
|
| def draw_rectangle(img_path, boxes): |
| boxes = np.array(boxes) |
| img = cv2.imread(img_path) |
| img_show = img.copy() |
| for box in boxes.astype(int): |
| x1, y1, x2, y2 = box |
| cv2.rectangle(img_show, (x1, y1), (x2, y2), (255, 0, 0), 2) |
| return img_show |
|
|