For reference:
# data - image bytes
im = Image.open(BytesIO(data))
I = numpy.asarray(im)
print("I type:", type(I), "I shape:", I.shape)
>> I type: <class 'numpy.ndarray'> I shape: (512, 512, 3)
Showing posts with label images. Show all posts
Showing posts with label images. Show all posts
Wednesday, October 2, 2019
Subscribe to:
Posts (Atom)
Upgrade nodejs in conda (from v18 to v26)
If your conda env is nodejs v18, doing a conda install nodejs=26 is likely to create a lot of conflict. Consider remove those conflicting p...
-
When Office2003 couldn't find file SKU011.CAB: regedit -> [HKEY_LOCAL_MACHINE] -> [SOFTWARE] -> [Microsoft] -> [Office] -...
-
The resolution can be changed by editing the BlueStack's registry: HKLM\SOFTWARE\BlueStacks\Guests\Android\FrameBuffer\0\Height and ...
-
Suppose you got a file in Big5 containing some HKSCS characters (e.g. 深水埗, 赤鱲角, etc). When your environment (Ref: Charset.defaultCharset( ) ...