adb版本问题

USB Hub芯片最好的属NEC，USB hub 2.0的某宝有一款，芯片是NEC μPD720114（已改名为瑞萨电子），配了3A的电源。

某宝链接： https://item.taobao.com/item.htm?spm=a1z0d.6639537.1997196601.37.7e1674841AY5vA&id=548501983168

3.0的没找到，我之前买了一批orico 3.0的hub（VIA威盛电子），供电不足，7*24压测adb老掉线，蛋疼死我了。

opencv 模板匹配

没看懂什么意思？没有用到python

*#8011#有问题，还不如，过9分钟调用下adb shell echo online

链接在此：
https://android.googlesource.com/platform/tools/swt/+/refs/heads/master/chimpchat/src/main/java/com/android/chimpchat/core/ChimpImageBase.java

源码参考：

@Override
    public boolean sameAs(IChimpImage other, double percent) {
        BufferedImage otherImage = other.getBufferedImage();
        BufferedImage myImage = getBufferedImage();
        // Easy size check
        if (otherImage.getWidth() != myImage.getWidth()) {
            return false;
        }
        if (otherImage.getHeight() != myImage.getHeight()) {
            return false;
        }
        int[] otherPixel = new int[1];
        int[] myPixel = new int[1];
        int width = myImage.getWidth();
        int height = myImage.getHeight();
        int numDiffPixels = 0;
        // Now, go through pixel-by-pixel and check that the images are the same;
        for (int y = 0; y < height; y++) {
            for (int x = 0; x < width; x++) {
                if (myImage.getRGB(x, y) != otherImage.getRGB(x, y)) {
                    numDiffPixels++;
                }
            }
        }
        double numberPixels = (height * width);
        double diffPercent = numDiffPixels / numberPixels;
        return percent <= 1.0 - diffPercent;
    }

之前我写了个Python版本：

依赖pillow模块，img_base是旧图片路径，img_pre是新图片路径

def pic_diff(img_base, img_pre):
    im_base = Image.open(img_base, 'r')  
    # print im.size
    im_base = im_base.resize((8, 8), Image.ANTIALIAS).convert('L') 
    width = im_base.size[0]  
    height = im_base.size[1] 
    data_base = []  
    for h in range(0, height):  
        for w in range(0, width):  
            pixel = im_base.getpixel((w, h)) 
            data_base.append(pixel)

    im_pre = Image.open(img_pre, 'r')  
    # print im.size
    im_pre = im_pre.resize((8, 8), Image.ANTIALIAS).convert('L') 
    width = im_pre.size[0]  
    height = im_pre.size[1] 
    data_pre = []  
    for h in range(0, height):  
        for w in range(0, width):  
            pixel = im_pre.getpixel((w, h)) 
            data_pre.append(pixel)
    count = 0
    for x in xrange(0,64):
        if data_base[x] == data_pre[x]:
                count = count + 1
    return count/(64.0)

谷歌monkeyrunner源码有个使用RGB值占比的算法，可以研究下😁

使用http代理可以完美搞定，之前爬过携程、艺龙等网站

有个好处就是，不影响无障碍服务相关的东西