Question

我想这样做。当我点击时，将显示左：0，html关闭。当我再次点击时，将显示左：-100％，html about。我怎么能意识到这一点？

var about = $('ul.about > li > span.activebtn');
var willshow = $('div.willshow');

about.on('click', function(){

        willshow.animate({
            'left': '0'
        }, 500);
        about.html('close');

        if($(this).html() == 'close'){
            about.click(function(){
                willshow.animate({
                    'left': '-100%'
                }, 500);
                about.html('about');
            });
        }

    });

Answer 1

您可以使用元素的当前状态在切换时设置下一个值。试试这个：

import cv2

import numpy as np

import matplotlib.pyplot as plt

def show_image(name, img, waitkey=0):
    cv2.namedWindow(name, 0)
    cv2.imshow(name, img)
    cv2.waitKey(waitkey)
    cv2.destroyWindow(name)

img = cv2.imread('hex2.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

shape = img.shape

out_x = cv2.Sobel(img, cv2.CV_16S, 1, 0)    # x gradient
out_y = cv2.Sobel(img, cv2.CV_16S, 0, 1)    # y gradient


out_x = cv2.convertScaleAbs(out_x)
out_y = cv2.convertScaleAbs(out_y)

out_weight = cv2.addWeighted(out_x, 0.5, out_y, 0.5,0)  # x and y weighted


def show_angle(out_weight, mag_final, dir_final, min_mag, theta_min, theta_max):
    """
        Return points based on magnitude and angle constraints
    """


    out_img = np.multiply(
        (
            (mag_final > min_mag) &
            (dir_final > theta_min) &
            (dir_final < theta_max)
        ).astype(int),

        out_weight
    )

    return out_img

def mag_dir():
    """
    Calculate gradient magnitude and direction matrix
    """

    mag = np.sqrt(
                np.add
                     (
                    np.square(out_x) , np.square(out_y)
                      )
                 )

    dir = np.arctan2(out_y, out_x)

    dir = np.multiply(dir, 180)

    print np.min(dir)   # 0
    print np.max(dir)   # 282

    plt.hist(dir,8, (0,360))
    plt.show()

    return mag, dir

mag, dir = mag_dir()



out_img = show_angle(out_weight, mag, dir, 0, 90,120)

plt.imshow(out_img, cmap='gray')
plt.show()

Working example

如何在这种情况下切换动画？

1 个答案: