forked from mrq/DL-Art-School
82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
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import os
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import sys
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import cv2
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import numpy as np
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try:
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from data.util import imresize_np
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except ImportError:
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pass
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def generate_mod_LR_bic():
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# set parameters
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up_scale = 4
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mod_scale = 4
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# set data dir
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sourcedir = '/data/datasets/img'
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savedir = '/data/datasets/mod'
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saveHRpath = os.path.join(savedir, 'HR', 'x' + str(mod_scale))
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saveLRpath = os.path.join(savedir, 'LR', 'x' + str(up_scale))
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saveBicpath = os.path.join(savedir, 'Bic', 'x' + str(up_scale))
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if not os.path.isdir(sourcedir):
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print('Error: No source data found')
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exit(0)
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if not os.path.isdir(savedir):
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os.mkdir(savedir)
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if not os.path.isdir(os.path.join(savedir, 'HR')):
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os.mkdir(os.path.join(savedir, 'HR'))
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if not os.path.isdir(os.path.join(savedir, 'LR')):
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os.mkdir(os.path.join(savedir, 'LR'))
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if not os.path.isdir(os.path.join(savedir, 'Bic')):
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os.mkdir(os.path.join(savedir, 'Bic'))
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if not os.path.isdir(saveHRpath):
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os.mkdir(saveHRpath)
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else:
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print('It will cover ' + str(saveHRpath))
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if not os.path.isdir(saveLRpath):
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os.mkdir(saveLRpath)
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else:
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print('It will cover ' + str(saveLRpath))
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if not os.path.isdir(saveBicpath):
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os.mkdir(saveBicpath)
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else:
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print('It will cover ' + str(saveBicpath))
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filepaths = [f for f in os.listdir(sourcedir) if f.endswith('.png')]
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num_files = len(filepaths)
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# prepare data with augementation
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for i in range(num_files):
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filename = filepaths[i]
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print('No.{} -- Processing {}'.format(i, filename))
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# read image
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image = cv2.imread(os.path.join(sourcedir, filename))
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width = int(np.floor(image.shape[1] / mod_scale))
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height = int(np.floor(image.shape[0] / mod_scale))
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# modcrop
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if len(image.shape) == 3:
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image_HR = image[0:mod_scale * height, 0:mod_scale * width, :]
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else:
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image_HR = image[0:mod_scale * height, 0:mod_scale * width]
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# LR
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image_LR = imresize_np(image_HR, 1 / up_scale, True)
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# bic
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image_Bic = imresize_np(image_LR, up_scale, True)
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cv2.imwrite(os.path.join(saveHRpath, filename), image_HR)
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cv2.imwrite(os.path.join(saveLRpath, filename), image_LR)
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cv2.imwrite(os.path.join(saveBicpath, filename), image_Bic)
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if __name__ == "__main__":
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generate_mod_LR_bic()
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