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8207382 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 | # copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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:
# draw with ocr engine
bbox = ocr_info["bbox"]
else:
# draw with ocr groundtruth
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):
# draw ocr results outline
bbox = ((bbox[0], bbox[1]), (bbox[2], bbox[3]))
draw.rectangle(bbox, fill=color)
# draw ocr results
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
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