snipy/img/imageutil.py
def canny(img, threshold1=255/3, threshold2=255, **kwargs):
    """ canny edge """
    import cv2
    # edges=None, apertureSize=None, L2gradient=None
    if img.ndim <= 3:
        edge = cv2.Canny(img, threshold1, threshold2, **kwargs)
        if edge.ndim == 2:
            edge = np.expand_dims(edge, 2)
    elif img.ndim == 4:
        # batch
        edge = np.asarray([cv2.Canny(i, threshold1, threshold2, **kwargs) for i in img])
        if edge.ndim == 3:
            edge = np.expand_dims(edge, 3)
    else:
        raise ValueError('above 5d?')
    return edge
def canny(img, threshold1=255/3, threshold2=255, **kwargs):
    """ canny edge """
    import cv2
    # edges=None, apertureSize=None, L2gradient=None
    if img.ndim <= 3:
        edge = cv2.Canny(img, threshold1, threshold2, **kwargs)
        if edge.ndim == 2:
            edge = np.expand_dims(edge, 2)
    elif img.ndim == 4:
        # batch
        edge = np.asarray([cv2.Canny(i, threshold1, threshold2, **kwargs) for i in img])
        if edge.ndim == 3:
            edge = np.expand_dims(edge, 3)
    else:
        raise ValueError('above 5d?')
    return edge
def canny ( img , threshold1 = 255 / 3 , threshold2 = 255 , * * kwargs ) : import cv2 # edges=None, apertureSize=None, L2gradient=None if img . ndim <= 3 : edge = cv2 . Canny ( img , threshold1 , threshold2 , * * kwargs ) if edge . ndim == 2 : edge = np . expand_dims ( edge , 2 ) elif img . ndim == 4 : # batch edge = np . asarray ( [ cv2 . Canny ( i , threshold1 , threshold2 , * * kwargs ) for i in img ] ) if edge . ndim == 3 : edge = np . expand_dims ( edge , 3 ) else : raise ValueError ( 'above 5d?' ) return edge
canny edge
canny edge