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Update README.md

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  1. README.md +3 -3
README.md CHANGED
@@ -100,18 +100,18 @@ import numpy as np
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  # Read high-quality train
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  train_shape = (3000, 512, 512)
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- B4X = np.memmap('train/L1C_B04.dat', dtype='int16', mode='r', shape=train_shape)
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  y = np.memmap('train1/manual_hq.dat', dtype='int8', mode='r', shape=train_shape)
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  # Read high-quality val
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  val_shape = (3000, 512, 512)
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- B4X = np.memmap('val/L1C_B04.dat', dtype='int16', mode='r', shape=val_shape)
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  y = np.memmap('train2/manual_hq.dat', dtype='int8', mode='r', shape=val_shape)
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  # Read high-quality test
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  test_shape = (3000, 512, 512)
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- B4X = np.memmap('test/L1C_B04.dat', dtype='int16', mode='r', shape=test_shape)
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  y = np.memmap('train3/manual_hq.dat', dtype='int8', mode='r', shape=test_shape)
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  ```
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  <br>
 
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  # Read high-quality train
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  train_shape = (3000, 512, 512)
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+ B4X = np.memmap('train1/L1C_B04.dat', dtype='int16', mode='r', shape=train_shape)
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  y = np.memmap('train1/manual_hq.dat', dtype='int8', mode='r', shape=train_shape)
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  # Read high-quality val
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  val_shape = (3000, 512, 512)
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+ B4X = np.memmap('train2/L1C_B04.dat', dtype='int16', mode='r', shape=val_shape)
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  y = np.memmap('train2/manual_hq.dat', dtype='int8', mode='r', shape=val_shape)
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  # Read high-quality test
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  test_shape = (3000, 512, 512)
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+ B4X = np.memmap('train3/L1C_B04.dat', dtype='int16', mode='r', shape=test_shape)
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  y = np.memmap('train3/manual_hq.dat', dtype='int8', mode='r', shape=test_shape)
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  ```
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  <br>