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data types #2

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f53930c
fix: np data types replaced with built-in datatype
Nov 25, 2023
553d496
how to run
Nov 26, 2023
d0d3385
feat: azimuth/range/2d unwrap phase outputs added based on itoh condi…
Dec 4, 2023
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4 changes: 4 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -1 +1,5 @@
/__pycache__/
/data/
/sim_data/

*.pyc
3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -5,3 +5,6 @@ This Simulator is used for paper **"DeepInSAR: A Deep Learning Framework for SAR



```
python3 simulator.py
```
14 changes: 7 additions & 7 deletions data_utils_3vG.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,20 +11,20 @@
import numpy as np

def readShortComplex(fileName, width=1):
return np.fromfile(fileName, '>i2').astype(np.float).view(np.complex).reshape(-1, width)
return np.fromfile(fileName, '>i2').astype(float).view(complex).reshape(-1, width)


def readFloatComplex(fileName, width=1):
return np.fromfile(fileName, '>c8').astype(np.complex).reshape(-1, width)
return np.fromfile(fileName, '>c8').astype(complex).reshape(-1, width)


def readFloat(fileName, width=1):
return np.fromfile(fileName, '>f4').astype(np.float).reshape(-1, width)
return np.fromfile(fileName, '>f4').astype(float).reshape(-1, width)


def writeShortComplex(fileName, data):
out_file = open(fileName, 'wb')
data.copy().view(np.float).astype('>i2').tofile(out_file)
data.copy().view(float).astype('>i2').tofile(out_file)
out_file.close()


Expand Down Expand Up @@ -55,7 +55,7 @@ def readFloatComplexRandomPathces(fileName, width=1, num_sample=1, patch_size=1,
img = []
for p_row in range(patch_size):
fin.seek(8 * (width * (row + p_row) + col))
img.append(np.frombuffer(fin.read(8 * patch_size), dtype=">c8").astype(np.complex))
img.append(np.frombuffer(fin.read(8 * patch_size), dtype=">c8").astype(complex))
patches.append(np.reshape(img, [patch_size, patch_size]))
return patches, rows, cols, height

Expand All @@ -75,7 +75,7 @@ def readShortFloatComplexRandomPathces(fileName, width=1, num_sample=1, patch_si
img = []
for p_row in range(patch_size):
fin.seek(4 * (width * (row + p_row) + col))
img.append(np.frombuffer(fin.read(4 * patch_size), dtype=">i2").astype(np.float).view(np.complex))
img.append(np.frombuffer(fin.read(4 * patch_size), dtype=">i2").astype(float).view(complex))
patches.append(np.reshape(img, [patch_size, patch_size]))
return patches, rows, cols, height

Expand All @@ -93,7 +93,7 @@ def readFloatRandomPathces(fileName, width=1, num_sample=1, patch_size=1, rows=N
img = []
for p_row in range(patch_size):
fin.seek(4 * (width * (row + p_row) + col))
img.append(np.frombuffer(fin.read(4 * patch_size), dtype=">f4").astype(np.float))
img.append(np.frombuffer(fin.read(4 * patch_size), dtype=">f4").astype(float))
patches.append(np.reshape(img, [patch_size, patch_size]))
return patches, rows, cols, height

Expand Down
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