I can read a jpg image from disk via PIL, Python OpenCV, etc. into a numpy array via some built-in functions such as (in the case of OpenCV) arr= cv2.imread(filename)
.
But how do I decode a jpg in binary format directly from memory?
Use case: I want to put a jpg image into a database in binary format and then read it from the db into memory and decode it to a numpy array.
Is this possible?
Assuming that you are storing the image data in your db as a string
, you first need to construct a numpy
array from that string that can later be converted to an image using cv2.imdecode
. For example:
img = cv2.imdecode(np.fromstring(img_data, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
for python3 use this way
from scipy import misc
f= open('file.png', 'rb')
fs = f.read()
likefile = io.BytesIO(fs)
face1 = misc.imread(likefile)
python2 has StringIO
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