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import multiprocessing | |
import glob | |
import time | |
import json | |
from tqdm import tqdm | |
from os.path import join as pjoin, exists | |
import cv2 | |
import detect_compo.ip_region_proposal as ip | |
def resize_height_by_longest_edge(img_path, resize_length=800): | |
org = cv2.imread(img_path) | |
height, width = org.shape[:2] | |
if height > width: | |
return resize_length | |
else: | |
return int(resize_length * (height / width)) | |
if __name__ == '__main__': | |
# initialization | |
input_img_root = "E:/Mulong/Datasets/rico/combined" | |
output_root = "E:/Mulong/Result/rico/rico_uied/rico_new_uied_v3" | |
data = json.load(open('E:/Mulong/Datasets/rico/instances_test.json', 'r')) | |
input_imgs = [pjoin(input_img_root, img['file_name'].split('/')[-1]) for img in data['images']] | |
input_imgs = sorted(input_imgs, key=lambda x: int(x.split('/')[-1][:-4])) # sorted by index | |
key_params = {'min-grad': 10, 'ffl-block': 5, 'min-ele-area': 50, 'merge-contained-ele': True, | |
'max-word-inline-gap': 10, 'max-line-ingraph-gap': 4, 'remove-top-bar': True} | |
is_ip = False | |
is_clf = False | |
is_ocr = False | |
is_merge = True | |
# Load deep learning models in advance | |
compo_classifier = None | |
if is_ip and is_clf: | |
compo_classifier = {} | |
from cnn.CNN import CNN | |
# compo_classifier['Image'] = CNN('Image') | |
compo_classifier['Elements'] = CNN('Elements') | |
# compo_classifier['Noise'] = CNN('Noise') | |
ocr_model = None | |
if is_ocr: | |
import detect_text.text_detection as text | |
# set the range of target inputs' indices | |
num = 0 | |
start_index = 30800 # 61728 | |
end_index = 100000 | |
for input_img in input_imgs: | |
resized_height = resize_height_by_longest_edge(input_img) | |
index = input_img.split('/')[-1][:-4] | |
if int(index) < start_index: | |
continue | |
if int(index) > end_index: | |
break | |
if is_ocr: | |
text.text_detection(input_img, output_root, show=False) | |
if is_ip: | |
ip.compo_detection(input_img, output_root, key_params, classifier=compo_classifier, resize_by_height=resized_height, show=False) | |
if is_merge: | |
import merge | |
compo_path = pjoin(output_root, 'ip', str(index) + '.json') | |
ocr_path = pjoin(output_root, 'ocr', str(index) + '.json') | |
merge.merge(input_img, compo_path, ocr_path, output_root, is_remove_top=key_params['remove-top-bar'], show=True) | |
num += 1 | |