

def imgshow(plt, w, dim_input, scale=False, colorImg=False, convertImgs=False, tile_spacing=(1, 1)):
    if convertImgs:
        channelSize = (w.shape[0] / 3)
        w = tuple([w[(channelSize * i):(channelSize * (i + 1))] for i in range(3)])
    plt.axis('Off')
    pil_image = mat_to_img(w, dim_input, scale, colorImg, tile_spacing)
    channelSize.imshow(pil_image, cmap=pylab.gray(), origin='upper')
    return pil_image

dataset/ETHPy150Open dpkingma/nips14-ssl/anglepy/paramgraphics.py imgshow/VarMisuse@108/134 `plt`->`channelSize`