kaustubh-sadekar/invisibility_cloak

This is a fun application of image processing which enables you to experience the magic of an invisibility cloak. Let's make our childhood fantasy of using an invisibility cloak come true.

invisibility_cloak's Issues

VideoCapture window not closing[bug]

🐛 Describe the bug

the code works great but there is a problem, the videocapture window is not closing at all.
display close option is not working.
had to close vc code every time in order to close the videocapture window.

@kaustubh-sadekar

Not Working Properly

Hii,
I have followed the exact instructions as per readme.md but still I am having some issues with the code, could you pls help me with that?
I got this as Output:-

Harry :  Hey !! Would you like to try my invisibility cloak ??
         Its awesome !!
        
         Prepare to get invisible .....................
    
---------------------------------------------------------------------------
AxisError                                 Traceback (most recent call last)
<ipython-input-1-8140f276118a> in <module>()
     17         ret,background = cap.read()
     18 
---> 19 background = np.flip(background,axis=1)
     20 
     21 while(cap.isOpened()):

<__array_function__ internals> in flip(*args, **kwargs)

2 frames
/usr/local/lib/python3.6/dist-packages/numpy/lib/function_base.py in flip(m, axis)
    247         indexer = (np.s_[::-1],) * m.ndim
    248     else:
--> 249         axis = _nx.normalize_axis_tuple(axis, m.ndim)
    250         indexer = [np.s_[:]] * m.ndim
    251         for ax in axis:

/usr/local/lib/python3.6/dist-packages/numpy/core/numeric.py in normalize_axis_tuple(axis, ndim, argname, allow_duplicate)
   1325             pass
   1326     # Going via an iterator directly is slower than via list comprehension.
-> 1327     axis = tuple([normalize_axis_index(ax, ndim, argname) for ax in axis])
   1328     if not allow_duplicate and len(set(axis)) != len(axis):
   1329         if argname:

/usr/local/lib/python3.6/dist-packages/numpy/core/numeric.py in <listcomp>(.0)
   1325             pass
   1326     # Going via an iterator directly is slower than via list comprehension.
-> 1327     axis = tuple([normalize_axis_index(ax, ndim, argname) for ax in axis])
   1328     if not allow_duplicate and len(set(axis)) != len(axis):
   1329         if argname:

AxisError: axis 1 is out of bounds for array of dimension 0 
#5

This code have an erroe

I try your code bro on Google Colab, n it shows error "IdentationError" for background=0 please help me