mirror of
https://github.com/Shawn-Shan/fawkes.git
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889fd933e8
Former-commit-id: 268fb7e6825ddfc1165fa7adc7c216f9d61005da [formerly 06376993a831c060c337ec6e7540252f0b2dfe09] Former-commit-id: c4812d40187a76a878e7d215d22ee84811b41896
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
import glob
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import json
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import os
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DATASETS = {
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"pubfig": "../data/pubfig",
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"scrub": "/home/shansixioing/fawkes/data/scrub/",
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"vggface2": "/mnt/data/sixiongshan/data/vggface2/",
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"webface": "/mnt/data/sixiongshan/data/webface/",
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"youtubeface": "/mnt/data/sixiongshan/data/youtubeface/keras_flow_data/",
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}
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def main():
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config = {}
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for dataset in DATASETS.keys():
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path = DATASETS[dataset]
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if not os.path.exists(path):
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print("Dataset path for {} does not exist, skipped".format(dataset))
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continue
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train_dir = os.path.join(path, "train")
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test_dir = os.path.join(path, "test")
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if not os.path.exists(train_dir):
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print("Training dataset path for {} does not exist, skipped".format(dataset))
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continue
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num_classes = len(os.listdir(train_dir))
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num_images = len(glob.glob(os.path.join(train_dir, "*/*")))
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if num_images == 0 or num_classes == 0 or num_images == num_classes:
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raise Exception("Dataset {} is not setup as detailed in README.".format(dataset))
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config[dataset] = {"train_dir": train_dir, "test_dir": test_dir, "num_classes": num_classes,
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"num_images": num_images}
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print("Successfully config {}".format(dataset))
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j = json.dumps(config)
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model_dir = os.path.join(os.path.expanduser('~'), '.fawkes')
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with open(os.path.join(model_dir, "config.json"), "wb") as f:
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f.write(j.encode())
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if __name__ == '__main__':
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main()
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