Input of vgg16

VGG 16 & VGG 19

裁剪法与填充法的比较

填充法实现代码：

def fill_image(img):
    h = img.shape[0]
    w = img.shape[1]
    
    is_trans = 0
    if h>w:
        is_trans = 1
        img = img.transpose((1,0,2))       
        
    h = img.shape[0]
    w = img.shape[1]
    assert( w>=h )
        
    im_add = np.zeros( (int( (w-h)/2 ), w, 3) )
    
    if is_trans:
        return np.concatenate( (im_add, img, im_add) ).transpose((1,0,2))
    else:
        return np.concatenate( (im_add, img, im_add) )

def fill_image2(img, w_target, h_target):
    w_t, h_t = w_target, h_target
    
    h = img.shape[0]
    w = img.shape[1]
    
    assert( w_t >= w )
    assert( h_t >= h )
    
    im_add = np.zeros( (h, int( (w_t-w)/2 ), 3) )
    img = np.concatenate( (im_add, img, im_add), axis=1 )

    im_add = np.zeros( (int( (h_t-h)/2 ), w_t, 3) )
    img = np.concatenate( (im_add, img, im_add) )
    
    return img

结果

图像填充：0.8256433，图像剪切：0.78070647

图像填充：0.8568995，图像剪切：0.7757687