wt_ocr_and_docker/ppocr/utils/visual.py

# 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
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
    tw = font.getsize(text)[0]
    th = font.getsize(text)[1]
    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