Is there any Python demo to read the .sift file from VisualSFM?

[ZeroSteven618]

After VisualSFM each image will generate a sift file and the SIFT feature points descriptors data is in the file. 
It seems vital to get the descriptors into h5 files as "img-kp-minsc-2.0.h5" files to finish LIFT training pre-processing. 

However,  the sift files from VisualSFM are binary files and according to: http://ccwu.me/vsfm/doc.html#usage
The sift files are in the format in description in **"Use your own feature detectors"** part as follows:

[Header][Location Data][Descriptor Data][EOF] [Header] = int[5] = {name, version, npoint, 5, 128}; name = ('S'+ ('I'<<8)+('F'<<16)+('T'<<24)); version = ('V'+('4'<<8)+('.'<<16)+('0'<<24)); or ('V'+('5'<<8)+('.'<<16)+('0'<<24)) if containing color info npoint = number of features.

[Location Data] is a npoint x 5 float matrix and each row is [x, y, color, scale, orientation]. Write color by casting the float to unsigned char[4] scale & orientation are only used for visualization, so you can simply write 0 for them

• Sort features in the order of decreasing importance, since VisualSFM may use only part of those features.

• VisualSFM sorts the features in the order of decreasing scales.

[Descriptor Data] is a npoint x 128 unsigned char matrix. Note the feature descriptors are normalized to 512.

[EOF] int eof_marker = (0xff+('E'<<8)+('O'<<16)+('F'<<24));

But I still can not understand the instruction. How to read the sift file properly in Python code? What is the encoding parameter of the open("r", encoding) function? 'utf-8' is not right to read the sift files. I tried encoding='utf-16' but also failed.

With the help of Notepad++ Hex-Editor plugin, I understand the [Header] part but I still can not work out the rest parts. Can someone help me with the sift file data reading with Python? Thanks a lot!

[aditipanda]

Does anybody have this?