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  • Category : Graph program
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  • Update : 2017-11-30
  • Size : 29.03mb
  • Downloaded :0次
  • Author :zhao****
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
Based on Keras, the picture is cut in pattern, and the picture training of the neural network is realized.
Packet file list
(Preview for download)
FilenameSizeUpdate
unet
unet\.gitignore 13 2017-11-29
unet\data
unet\data.py 8176 2017-11-29
unet\data\test
unet\data\test-volume.tif 7871660 2017-11-29
unet\data\test\0.tif 262278 2017-11-29
unet\data\test\1.tif 262278 2017-11-29
unet\data\test\10.tif 262278 2017-11-29
unet\data\test\11.tif 262278 2017-11-29
unet\data\test\12.tif 262278 2017-11-29
unet\data\test\13.tif 262278 2017-11-29
unet\data\test\14.tif 262278 2017-11-29
unet\data\test\15.tif 262278 2017-11-29
unet\data\test\16.tif 262278 2017-11-29
unet\data\test\17.tif 262278 2017-11-29
unet\data\test\18.tif 262278 2017-11-29
unet\data\test\19.tif 262278 2017-11-29
unet\data\test\2.tif 262278 2017-11-29
unet\data\test\20.tif 262278 2017-11-29
unet\data\test\21.tif 262278 2017-11-29
unet\data\test\22.tif 262278 2017-11-29
unet\data\test\23.tif 262278 2017-11-29
unet\data\test\24.tif 262278 2017-11-29
unet\data\test\25.tif 262278 2017-11-29
unet\data\test\26.tif 262278 2017-11-29
unet\data\test\27.tif 262278 2017-11-29
unet\data\test\28.tif 262278 2017-11-29
unet\data\test\29.tif 262278 2017-11-29
unet\data\test\3.tif 262278 2017-11-29
unet\data\test\4.tif 262278 2017-11-29
unet\data\test\5.tif 262278 2017-11-29
unet\data\test\6.tif 262278 2017-11-29
unet\data\test\7.tif 262278 2017-11-29
unet\data\test\8.tif 262278 2017-11-29
unet\data\test\9.tif 262278 2017-11-29
unet\data\train
unet\data\train-labels.tif 7869573 2017-11-29
unet\data\train-volume.tif 7870730 2017-11-29
unet\data\train\image
unet\data\train\image\0.tif 262278 2017-11-29
unet\data\train\image\1.tif 262278 2017-11-29
unet\data\train\image\10.tif 262278 2017-11-29
unet\data\train\image\11.tif 262278 2017-11-29
unet\data\train\image\12.tif 262278 2017-11-29
unet\data\train\image\13.tif 262278 2017-11-29
unet\data\train\image\14.tif 262278 2017-11-29
unet\data\train\image\15.tif 262278 2017-11-29
unet\data\train\image\16.tif 262278 2017-11-29
unet\data\train\image\17.tif 262278 2017-11-29
unet\data\train\image\18.tif 262278 2017-11-29
unet\data\train\image\19.tif 262278 2017-11-29
unet\data\train\image\2.tif 262278 2017-11-29
unet\data\train\image\20.tif 262278 2017-11-29
unet\data\train\image\21.tif 262278 2017-11-29
unet\data\train\image\22.tif 262278 2017-11-29
unet\data\train\image\23.tif 262278 2017-11-29
unet\data\train\image\24.tif 262278 2017-11-29
unet\data\train\image\25.tif 262278 2017-11-29
unet\data\train\image\26.tif 262278 2017-11-29
unet\data\train\image\27.tif 262278 2017-11-29
unet\data\train\image\28.tif 262278 2017-11-29
unet\data\train\image\29.tif 262278 2017-11-29
unet\data\train\image\3.tif 262278 2017-11-29
unet\data\train\image\4.tif 262278 2017-11-29
unet\data\train\image\5.tif 262278 2017-11-29
unet\data\train\image\6.tif 262278 2017-11-29
unet\data\train\image\7.tif 262278 2017-11-29
unet\data\train\image\8.tif 262278 2017-11-29
unet\data\train\image\9.tif 262278 2017-11-29
unet\data\train\label
unet\data\train\label\0.tif 262278 2017-11-29
unet\data\train\label\1.tif 262278 2017-11-29
unet\data\train\label\10.tif 262278 2017-11-29
unet\data\train\label\11.tif 262278 2017-11-29
unet\data\train\label\12.tif 262278 2017-11-29
unet\data\train\label\13.tif 262278 2017-11-29
unet\data\train\label\14.tif 262278 2017-11-29
unet\data\train\label\15.tif 262278 2017-11-29
unet\data\train\label\16.tif 262278 2017-11-29
unet\data\train\label\17.tif 262278 2017-11-29
unet\data\train\label\18.tif 262278 2017-11-29
unet\data\train\label\19.tif 262278 2017-11-29
unet\data\train\label\2.tif 262278 2017-11-29
unet\data\train\label\20.tif 262278 2017-11-29
unet\data\train\label\21.tif 262278 2017-11-29
unet\data\train\label\22.tif 262278 2017-11-29
unet\data\train\label\23.tif 262278 2017-11-29
unet\data\train\label\24.tif 262278 2017-11-29
unet\data\train\label\25.tif 262278 2017-11-29
unet\data\train\label\26.tif 262278 2017-11-29
unet\data\train\label\27.tif 262278 2017-11-29
unet\data\train\label\28.tif 262278 2017-11-29
unet\data\train\label\29.tif 262278 2017-11-29
unet\data\train\label\3.tif 262278 2017-11-29
unet\data\train\label\4.tif 262278 2017-11-29
unet\data\train\label\5.tif 262278 2017-11-29
unet\data\train\label\6.tif 262278 2017-11-29
unet\data\train\label\7.tif 262278 2017-11-29
unet\data\train\label\8.tif 262278 2017-11-29
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