Created
May 4, 2017 13:35
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ディープラーニングでスリーサイズを予想 ref: http://qiita.com/nardtree/items/a2a5ec50e3b17c662864
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(B80cm, W52cm, H82cm) -> (0.80, 0.52, 0.82) |
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$ python3 deep_bwh.py --train |
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$ git clone https://github.com/GINK03/keras-bwh-predictor |
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$ python3 deep_bwh.py --train |
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$ python3 deep_bwh.py --eval |
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$ python3 deep_bwh.py --pred |
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