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| import argparse
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| import glob
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| import os
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| import numpy as np
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| import pdb
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| ratio = 0.25
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| np.random.seed(42)
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|
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| if __name__ == "__main__":
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| ap = argparse.ArgumentParser()
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| ap.add_argument("-i", "--pathimage", required=True, help="path to folder")
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| ap.add_argument("-t", "--pathtarget", required=True, help="path to folder")
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| args = vars(ap.parse_args())
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|
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| root = args["pathimage"]
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| root2 = args["pathtarget"]
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| os.makedirs(os.path.join(root, "subset"), exist_ok=True)
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| os.makedirs(os.path.join(root2, "subset"), exist_ok=True)
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| man_set_ratio = int(input("set the percentage of the subset (eg. 25): "))
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| if 100 > man_set_ratio > 0:
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| ratio = man_set_ratio/100
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| f_types = ('*.jpg', '*.jpeg', '*.png', '*.bmp', '*.tif')
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| all_files_images = []
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| all_files_target = []
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| for f_type in f_types:
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| all_files_images.extend(sorted(glob.glob(os.path.join(root, f_type))))
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| all_files_target.extend(sorted(glob.glob(os.path.join(root2, f_type))))
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| randomIdx = np.random.permutation(len(all_files_images))
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| files_sel_idx = randomIdx[0:int(ratio * len(all_files_images))]
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| for n, idx in enumerate(files_sel_idx):
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| print(int(n/len(files_sel_idx)*10000)/100)
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| os.rename(all_files_images[idx], os.path.join(root, "subset", os.path.basename(all_files_images[idx])))
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| os.rename(all_files_target[idx], os.path.join(root2, "subset", os.path.basename(all_files_target[idx])))
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|
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| '''
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| # move potentially existing label file
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| if os.path.exists(all_files[idx][:-3] + "xml"):
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| os.rename(all_files[idx][:-3] + "xml", root + "\\subset\\" + os.path.basename(all_files[idx][:-3] + "xml"))
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| if os.path.exists(all_files[idx][:-3] + "json"):
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| os.rename(all_files[idx][:-3] + "json", root + "\\subset\\" + os.path.basename(all_files[idx][:-3] + "json"))
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| if os.path.exists(all_files[idx][:-3] + "txt"):
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| os.rename(all_files[idx][:-3] + "txt", root + "\\subset\\" + os.path.basename(all_files[idx][:-3] + "txt"))
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| ''' |