def save(index, org, binary, corners_block, corners_img, corners_compo,
compos_class, corners_text):
out_img_gradient = pyjoin(C.ROOT_IMG_GRADIENT, index + '.png')
out_img_draw = pyjoin(C.ROOT_IMG_DRAWN, index + '.png')
out_img_clean = pyjoin(C.ROOT_IMG_CLEAN, index + '.png')
out_label = pyjoin(C.ROOT_LABEL, index + '.json')
# *** Step 7 *** post-processing: remove img elements from original image and segment into smaller size
img_clean = draw.draw_bounding_box(org,
corners_img,
color=(255, 255, 255),
line=-1)
# draw results
draw_bounding = draw.draw_bounding_box_class(org, corners_compo,
compos_class)
draw_bounding = draw.draw_bounding_box_class(
draw_bounding, corners_block,
['block' for i in range(len(corners_block))])
draw_bounding = draw.draw_bounding_box_class(
draw_bounding, corners_img, ['img' for i in range(len(corners_img))])
draw_bounding = draw.draw_bounding_box(draw_bounding, corners_text, line=1)
# save results
cv2.imwrite(out_img_gradient, binary)
cv2.imwrite(out_img_draw, draw_bounding)
cv2.imwrite(out_img_clean, img_clean)
file.save_corners_json(out_label, corners_block,
['div' for i in range(len(corners_block))])
file.save_corners_json(out_label, corners_img,
['div' for i in range(len(corners_img))])
file.save_corners_json(out_label, corners_compo, compos_class)
if is_clip:
file.save_clipping(org, C.ROOT_IMG_COMPONENT, corners_compo,
compos_class, compo_index)
import ip_preprocessing as pre
import ip_draw as draw
import file_utils as file
from CONFIG import Config
from MODEL import CNN
import cv2
import time
import glob
from os.path import join as pyjoin
# initialization
C = Config()
C.build_output_folders(False)
input_root = C.ROOT_INPUT
input_paths = glob.glob(pyjoin(input_root, '*.png'))
input_paths = sorted(input_paths, key=lambda x: int(x.split('\\')[-1][:-4])) # sorted by index
def save(index, org, binary, corners_block, corners_img, corners_compo, compos_class, corners_text):
out_img_gradient = pyjoin(C.ROOT_IMG_GRADIENT, index + '.png')
out_img_draw = pyjoin(C.ROOT_IMG_DRAWN, index + '.png')
out_img_clean = pyjoin(C.ROOT_IMG_CLEAN, index + '.png')
out_label = pyjoin(C.ROOT_LABEL, index + '.json')
# *** Step 7 *** post-processing: remove img elements from original image and segment into smaller size
img_clean = draw.draw_bounding_box(org, corners_img, color=(255, 255, 255), line=-1)
# draw results
draw_bounding = draw.draw_bounding_box_class(org, corners_compo, compos_class)
draw_bounding = draw.draw_bounding_box_class(draw_bounding, corners_block, ['block' for i in range(len(corners_block))])
import ip_draw as draw
import ip_segment as seg
import file_utils as file
from CONFIG import Config
import cv2
import time
import glob
from os.path import join as pyjoin
C = Config()
input_root = C.ROOT_IMG_ORG
is_save = True
input_paths = glob.glob(pyjoin(input_root, '*.png'))
input_paths = sorted(
input_paths, key=lambda x: int(x.split('\\')[-1][:-4])) # sorted by index
start_index = 4112
end_index = 10000
for input_path in input_paths:
index = input_path.split('\\')[-1][:-4]
if int(index) < start_index:
continue
if int(index) > end_index:
break
start = time.clock()
