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gen_sign_detect.py
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gen_sign_detect.py
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import os
import random
import glob
import multiprocessing
import random
import argparse
import matplotlib.pyplot as plt
import cv2
import numpy as np
from PIL import Image
import utils
from tqdm import tqdm
import time
from dev import augment, read_gray
'''
Gran_techainer's modification starts.
'''
def random_color_signature():
p_color = random.uniform(0,1)
if p_color < 0.5:
color = 'red'
elif p_color < 0.8:
color = 'blue'
else:
color = 'black'
return color
'''
Gran_techainer's modification ends.
'''
def random_coordinate(bg_shape, im_shape):
bg_w, bg_h = bg_shape
im_w, im_h = im_shape
x = random.randint(0, bg_w-im_w)
y = random.randint(0, bg_h-im_h)
return x,y
def gen(ind):
# import ipdb; ipdb.set_trace()
label_yolo = []
# Number of signatures in background
num_signs = random.randint(2, 5)
# Random background
background = Image.open(random.choice(list_bgs))
bg_w, bg_h = background.size
short_size = min(bg_h, bg_w)
# Random symbol
symbol = Image.open(random.choice(list_symbols)).convert("RGBA")
sym_w = int(random.uniform(0.05, 0.3) * bg_w)
sym_h = int(random.uniform(0.05, 0.3) * bg_h)
symbol = symbol.resize((sym_w, sym_h))
#symbol = utils.create_transparent_image(symbol)
# Random coordinate or do not need
sym_x, sym_y = random_coordinate(background.size, symbol.size)
# Fill
background = utils.overlay_transparent(background=background,\
foreground=symbol, coordinate=(sym_x, sym_y), remove_bg=False)['filled_image']
# Random stamp
stamp = Image.open(random.choice(list_stamps))
stp_w, stp_h = stamp.size
ratio_size = random.uniform(0.05, 0.25)
ratio_stp = stp_h / stp_w
new_stp_w = int(ratio_size * short_size)
new_stp_h = int(ratio_stp * new_stp_w)
stamp = stamp.resize((new_stp_w, new_stp_h))
stamp = utils.create_transparent_image(stamp)
# Random coordinate or do not need
stp_x, stp_y = random_coordinate(background.size, stamp.size)
background = utils.overlay_transparent(background=background,\
foreground=stamp, coordinate=(stp_x, stp_y), remove_bg=False)['filled_image']
# Saved inserted signature coordinate
old_crd_signs = []
# Fill signature to background
for i in range(num_signs):
'''
Gran_techainer's modification starts.
'''
signature = read_gray(random.choice(list_signs))
sign_h, sign_w = signature.shape
ratio_size = random.uniform(0.1, 0.25)
ratio_sign = sign_h / sign_w
new_sign_w = int(ratio_size * short_size)
new_sign_h = int(ratio_sign * new_sign_w)
signature = cv2.resize(signature,(new_sign_w, new_sign_h))
color = random_color_signature()
signature = augment(signature, color,
blur_rate=args.blur_rate,
erosion_kernel_size=args.erosion_kernel_size,
num_eigenvalues=args.num_eigenvalues) * 255
signature = np.array(signature).astype(np.uint8)
'''
Gran_techainer's modification ends.
'''
signature = Image.fromarray(signature).convert("RGB")
if signature.mode != "RGBA":
print("Not RGBA. Converting...")
signature = utils.create_transparent_image(signature)
else:
print("RGBA")
while True:
# Random coordinate
x1, y1 = random_coordinate(background.size, signature.size)
x2, y2 = x1+new_sign_w, y1+new_sign_h
check = 0
for coord in old_crd_signs:
x1_old, y1_old, w_old, h_old = coord
x2_old, y2_old = x1_old+w_old, y1_old+h_old
# Check if overlapped signatures
check += ((x1 in range(x1_old, x2_old) or x2 in range(x1_old, x2_old)) and y1 in range(y1_old, y2_old)) \
or ((x1 in range(x1_old, x2_old) or x2 in range(x1_old, x2_old)) and y2 in range(y1_old, y2_old)) \
or ((x1_old in range(x1, x2) or x2_old in range(x1, x2)) and y1_old in range(y1, y2)) \
or ((x1_old in range(x1, x2) or x2_old in range(x1, x2)) and y2_old in range(y1, y2))
if check != 0:
break
if check==0:
break
old_crd_signs.append((x1, y1, new_sign_w, new_sign_h))
# random add stamp under signature
if random.uniform(0, 1) < 0.1:
off_x, off_y = random.randint(0, new_sign_w), random.randint(0, new_sign_h)
# Fill stamp
background = utils.overlay_transparent(background=background, \
foreground=stamp, coordinate=(max(0, x1-off_x), max(0, y1-off_y)))['filled_image']
# Fill signature
background = utils.overlay_transparent(background=background, \
foreground=signature, coordinate=(x1, y1),remove_bg=False)['filled_image']
else:
if random.uniform(0, 1) < 0.1:
background = utils.overlay_transparent(background=background, \
foreground=signature, coordinate=(x1, y1), remove_bg=False)['filled_image']
else:
# Remove background
background = utils.overlay_transparent(background=background, \
foreground=signature, coordinate=(x1, y1), remove_bg=False)['filled_image']
# Get label yolo format
x_c, y_c, w_c, h_c = utils.tlwh_2_yolo_format((x1, y1, new_sign_w, new_sign_h), (bg_w, bg_h))
stamp_label = "{} {} {} {} {}".format(STAMP, x_c, y_c, w_c, h_c) + "\n"
label_yolo.append(stamp_label)
# Save image and label
background.save(os.path.join(args.output_folder, "signature_%d.jpg" %ind))
# background.show()
with open(os.path.join(args.output_folder, "signature_%d.txt" %ind), "w") as f:
f.writelines(label_yolo)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Signature Augmentation')
parser.add_argument('--output_folder', default='./result/',
type=str, required=False, help='folder path to output generated data')
parser.add_argument('--input_signature', type=str, required=True,
help='folder path to input signatures')
parser.add_argument('--input_symbol', type=str, required=True,
help='folder path to input other symbols')
parser.add_argument('--input_stamp', type=str, required=True,
help='folder path to input stamps')
parser.add_argument('--input_background', type=str, required=True,
help='folder path to input backgrounds')
parser.add_argument('--blur_rate', type=int, required=False,
help='blur rate in augmentation')
parser.add_argument('--erosion_kernel_size', type=int, required=False,
help='erosion kernel size in augmentation')
parser.add_argument('--num_eigenvalues', type=int, required=False,
help='number of kept eigenvalues in truncated svd in augmentation')
parser.add_argument('--num_sample', default= 100,
type=int, required=False, help='number of images')
parser.add_argument('--num_workers', default=8, type=int,
required=False, help='number of cores use for multiprocessing')
global args
args = parser.parse_args()
main(args)