having cv2.imread reading images from file objects or memory-stream-like data (here non-extracted tar)

Question

I have a .tar file containing several hundreds of pictures (.png). I need to process them via opencv.

I am wondering whether - for efficiency reasons - it is possible to process them without passing by the disc. In other, words I want to read the pictures from the memory stream related to the tar file.

Consider for instance

 import tarfile
 import cv2

 tar0 = tarfile.open('mytar.tar')
 im = cv2.imread( tar0.extractfile('fname.png').read() )

The last line doesn't work as imread expects a file name rather than a stream.

Consider that this way of reading directly from the tar stream can be achieved e.g. for text (see e.g. this SO question).

---

Any suggestion to open the stream with the correct png encoding?

Untarring to ramdisk is of course an option, although I was looking for something more cachable.

Answer 1

Thanks to the suggestion of @abarry and this SO answer I managed to find the answer.

Consider the following

def get_np_array_from_tar_object(tar_extractfl):
     '''converts a buffer from a tar file in np.array'''
     return np.asarray(
        bytearray(tar_extractfl.read())
        , dtype=np.uint8)

tar0 = tarfile.open('mytar.tar')

im0 = cv2.imdecode(
        get_np_array_from_tar_object(tar0.extractfile('fname.png'))
        , 0 )

Answer 2

Perhaps use imdecode with a buffer coming out of the tar file? I haven't tried it but seems promising.