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+++ b/3D Reconstruction/Interpolation/png2raw.py
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+import numpy
+import os
+import argparse
+from PIL import Image
+
+parser = argparse.ArgumentParser(
+    description = 'Convert continuous PNG file to RAW file(volume data)')
+parser.add_argument('-in', '--input_dir', default = '', help='Input directory for PNG files')
+parser.add_argument('-out', '--output_dir', default = '', help='Output directory for RAW file')
+
+args = parser.parse_args()
+
+images = []
+for dirName, subdirList, fileList in os.walk(args.input_dir):
+    for filename in fileList:
+        if '.png' in filename.lower():
+            image = Image.open(os.path.join(dirName, filename))
+            images.append(numpy.array(image))
+
+dimZ = len(images)
+dimX = images[0].shape[0]
+dimY = images[0].shape[1]
+
+ArrayRaw = numpy.zeros((dimZ, dimX, dimY), dtype=numpy.uint8)
+
+# loop through all the image files
+for idx, image in enumerate(images):
+    # store the raw image data
+    ArrayRaw[idx, :, :] = image
+
+# save raw
+ArrayRaw.tofile(os.path.join(args.output_dir,'output.raw'))
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