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multi-copy.py
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multi-copy.py
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import argparse
import numpy as np
import os
import imutils
import cv2
import random
# print(cv2.__version__)
def parse_args():
desc = "Tools to normalize an image dataset"
parser = argparse.ArgumentParser(description=desc)
parser.add_argument('--verbose', action='store_true',
help='Print progress to console.')
parser.add_argument('--input_img', type=str,
default='./input/file.png',
help='Directory path to the inputs folder. (default: %(default)s)')
parser.add_argument('--output_folder', type=str,
default='./output/',
help='Directory path to the output folder. (default: %(default)s)')
parser.add_argument('--start', type=int,
default=1,
help='Starting count (default: %(default)s)')
parser.add_argument('--end', type=int,
default=100,
help='Ending count (default: %(default)s)')
# parser.add_argument('--scale', type=float,
# default=2.0,
# help='Scalar value. For use with scale process type (default: %(default)s)')
# parser.add_argument('--direction', type=str,
# default='AtoB',
# help='Paired Direction. For use with pix2pix process. ["AtoB","BtoA"] (default: %(default)s)')
# parser.add_argument('--border_type', type=str,
# default='stretch',
# help='Border style to use when using the square process type ["stretch","reflect","solid"] (default: %(default)s)')
# parser.add_argument('--border_color', type=str,
# default='255,255,255',
# help='border color to use with the `solid` border type; use bgr values (default: %(default)s)')
# parser.add_argument('--blur_size', type=int,
# default=3,
# help='Blur size. For use with "canny" process. (default: %(default)s)')
# parser.add_argument('--mirror', action='store_true',
# help='Adds mirror augmentation.')
# parser.add_argument('--rotate', action='store_true',
# help='Adds 90 degree rotation augmentation.')
parser.add_argument('--file_extension', type=str,
default='png',
help='Border style to use when using the square process type ["png","jpg"] (default: %(default)s)')
args = parser.parse_args()
return args
def crop_square_patch(img, imgSize):
(h, w) = img.shape[:2]
rH = random.randint(0,h-imgSize)
rW = random.randint(0,w-imgSize)
cropped = img[rH:rH+imgSize,rW:rW+imgSize]
return cropped
def makeResize(img,filename,scale):
remakePath = args.output_folder + str(scale)+"/"
if not os.path.exists(remakePath):
os.makedirs(remakePath)
img_copy = img.copy()
img_copy = image_resize(img_copy, max = scale)
if(args.file_extension == "png"):
new_file = os.path.splitext(filename)[0] + ".png"
cv2.imwrite(os.path.join(remakePath, new_file), img_copy, [cv2.IMWRITE_PNG_COMPRESSION, 0])
elif(args.file_extension == "jpg"):
new_file = os.path.splitext(filename)[0] + ".jpg"
cv2.imwrite(os.path.join(remakePath, new_file), img_copy, [cv2.IMWRITE_JPEG_QUALITY, 90])
if (args.mirror): flipImage(img_copy,new_file,remakePath)
if (args.rotate): rotateImage(img_copy,new_file,remakePath)
def makeSquare(img,filename,scale):
sqPath = args.output_folder + "sq-"+str(scale)+"/"
if not os.path.exists(sqPath):
os.makedirs(sqPath)
bType = cv2.BORDER_REPLICATE
if(args.border_type == 'solid'):
bType = cv2.BORDER_CONSTANT
elif (args.border_type == 'reflect'):
bType = cv2.BORDER_REFLECT
img_sq = img.copy()
img_sq = image_resize(img_sq, max = scale)
bColor = [int(item) for item in args.border_color.split(',')]
print(bColor)
(h, w) = img_sq.shape[:2]
if(h > w):
# pad left/right
diff = h-w
if(diff%2 == 0):
img_sq = cv2.copyMakeBorder(img_sq, 0, 0, int(diff/2), int(diff/2), bType,value=bColor)
else:
img_sq = cv2.copyMakeBorder(img_sq, 0, 0, int(diff/2)+1, int(diff/2), bType,value=bColor)
elif(w > h):
# pad top/bottom
diff = w-h
if(diff%2 == 0):
img_sq = cv2.copyMakeBorder(img_sq, int(diff/2), int(diff/2), 0, 0, bType,value=bColor)
else:
img_sq = cv2.copyMakeBorder(img_sq, int(diff/2), int(diff/2)+1, 0, 0, bType,value=bColor)
if(args.file_extension == "png"):
new_file = os.path.splitext(filename)[0] + "-sq.png"
cv2.imwrite(os.path.join(sqPath, new_file), img_sq, [cv2.IMWRITE_PNG_COMPRESSION, 0])
elif(args.file_extension == "jpg"):
new_file = os.path.splitext(filename)[0] + ".jpg"
cv2.imwrite(os.path.join(sqPath, new_file), img_sq, [cv2.IMWRITE_JPEG_QUALITY, 90])
if (args.mirror): flipImage(img_sq,new_file,sqPath)
if (args.rotate): rotateImage(img_sq,new_file,sqPath)
def makeSquareCropPatch(img,filename,scale):
make_path = args.output_folder + "sq-"+str(scale)+"/"
if not os.path.exists(make_path):
os.makedirs(make_path)
img_copy = img.copy()
img_copy = crop_square_patch(img_copy,args.max_size)
new_file = os.path.splitext(filename)[0] + ".png"
cv2.imwrite(os.path.join(make_path, new_file), img_copy, [cv2.IMWRITE_PNG_COMPRESSION, 0])
if (args.mirror): flipImage(img_copy,new_file,make_path)
if (args.rotate): rotateImage(img_copy,new_file,make_path)
def copyImage(img,counter):
path = args.output_folder
if not os.path.exists(path):
os.makedirs(path)
imgCopy = img.copy();
formatted = "%04d" % counter;
if(args.file_extension == "png"):
new_file = filename + formatted + ".png"
cv2.imwrite(os.path.join(path, new_file), imgCopy, [cv2.IMWRITE_PNG_COMPRESSION, 0])
elif(args.file_extension == "jpg"):
new_file = filename + formatted + ".jpg"
cv2.imwrite(os.path.join(path, new_file), imgCopy, [cv2.IMWRITE_JPEG_QUALITY, 90])
def main():
global args
global filename
args = parse_args()
inter = cv2.INTER_CUBIC
os.environ['OPENCV_IO_ENABLE_JASPER']= "true"
filename = os.path.splitext(os.path.basename(args.input_img))[0]
for x in range(args.start,args.end):
img = cv2.imread(args.input_img)
copyImage(img,x)
# for root, subdirs, files in os.walk(args.input_folder):
# print('--\nroot = ' + root)
# for subdir in subdirs:
# print('\t- subdirectory ' + subdir)
# for filename in files:
# file_path = os.path.join(root, filename)
# print('\t- file %s (full path: %s)' % (filename, file_path))
# img = cv2.imread(file_path)
# if hasattr(img, 'copy'):
# processImage(img,filename)
# count = count + int(2)
if __name__ == "__main__":
main()