cv-analysis-service/cv_analysis/figure_detection.py
2022-06-13 13:04:15 +02:00

38 lines
1.3 KiB
Python

import cv2
import numpy as np
from pdf2image import pdf2image
# import pandas as pd
from PIL import Image
import timeit
from os import path
from cv_analysis.locations import METADATA_TESTFILES, PNG_FOR_TESTING, PNG_FIGURES_DETECTED
from cv_analysis.utils.detection import detect_large_coherent_structures
from cv_analysis.utils.display import show_mpl
from cv_analysis.utils.draw import draw_rectangles
from cv_analysis.utils.post_processing import remove_included
from cv_analysis.utils.filters import is_large_enough, has_acceptable_format
from cv_analysis.utils.structures import Rectangle
from cv_analysis.utils.text import remove_primary_text_regions
from cv_analysis.utils.visual_logging import vizlogger
def is_likely_figure(cont, min_area=5000, max_width_to_hight_ratio=6):
return is_large_enough(cont, min_area) and has_acceptable_format(cont, max_width_to_hight_ratio)
def detect_figures(image: np.array):
image = image.copy()
vizlogger.debug(image, "figures01_start.png")
image = remove_primary_text_regions(image)
vizlogger.debug(image, "figures02_remove_text.png")
cnts = detect_large_coherent_structures(image)
cnts = filter(is_likely_figure, cnts)
rects = map(cv2.boundingRect, cnts)
rects = remove_included(rects)
return list(map(Rectangle.from_xywh, rects))