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import numpy as np
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import os
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import json
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import argparse
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dataset_name = "BirdCounting1"
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root_path ="../data_MPKFNet/data/BirdCounting"
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parser = argparse.ArgumentParser(description="DensityVideodemo.")
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parser.add_argument("dataset_name", default='', type=str,
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help='Video name.')
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parser.add_argument(
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"opts",
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help="Modify config options using the command-line",
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default=None,
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nargs=argparse.REMAINDER,
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)
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args = parser.parse_args()
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print(args)
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dataset_name = args.dataset_name
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datasetjsonpath = os.path.join(root_path ,dataset_name)
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train = os.path.join(root_path,dataset_name,'train_data','images')
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test = os.path.join(root_path,dataset_name,'test_data','images')
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trainfile = os.listdir(train)
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train_json = [os.path.join(train,file) for file in trainfile]
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with open(datasetjsonpath + "/train_data.json",'w') as f:
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json.dump(train_json,f)
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testfile = os.listdir(test)
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test_json = [os.path.join(test,file) for file in testfile]
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with open(datasetjsonpath + "/test_data.json",'w') as f:
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json.dump(test_json,f)
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print("data is ok")
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