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用Python识别图形验证码，实现自动登陆！
+ img.getpixel((x, y + 1)) + img.getpixel((x + 1, y)) + img.getpixel((x + 1, y + 1)) return img.getpixel((x, y - 1)) + img.getpixel((x - 1, y - 1)) + img.getpixel((x + 1, y - 1)) return y - 1)) + cur_pixel + img.getpixel((x, y + 1)) + img.getpixel((x + 1, y - 1)) + img.getpixel((x + 1, # 右边非顶点 sum_8 = img.getpixel((x, y - 1)) + cur_pixel + img.getpixel((x, y + 1)) + img.getpixel - 1, y)) + img.getpixel((x - 1, y + 1)) + img.getpixel((x, y - 1)) + cur_pixel + img.getpixel((x, y
2.6K10发布于 2020-10-09 - 来自专栏IT派
用python怎样识别验证码？（含源码）
- 1: # 右上顶点 sum = cur_pixel + img.getpixel((x, y + 1)) + img.getpixel((x - 1, y)) + img.getpixel( 1, y + 1)) + cur_pixel + img.getpixel((x, y + 1)) + img.getpixel((x + 1, y)) + img.getpixel((x + - 1: # 右下顶点 sum = cur_pixel + img.getpixel((x, y - 1)) + img.getpixel((x - 1, y)) + img.getpixel( ((x + 1, y)) + img.getpixel((x, y - 1)) + img.getpixel((x - 1, y - 1)) + img.getpixel((x + 1, y - + img.getpixel((x, y + 1)) + img.getpixel((x + 1, y - 1)) + img.getpixel((x + 1, y)) + img.getpixel
2.3K00发布于 2018-07-30 - 来自专栏C#开发点点滴滴
图像简单处理
(x - 1, y - 1).R; p[1] = this.bitmap.GetPixel(x, y - 1).R; p[ 2] = this.bitmap.GetPixel(x + 1, y - 1).R; p[3] = this.bitmap.GetPixel(x - 1, y). R; p[4] = this.bitmap.GetPixel(x, y).R; p[5] = this.bitmap.GetPixel (x + 1, y).R; p[6] = this.bitmap.GetPixel(x - 1, y + 1).R; p[ 7] = this.bitmap.GetPixel(x, y + 1).R; p[8] = this.bitmap.GetPixel(x + 1, y + 1).
2.9K40发布于 2020-08-31 - 来自专栏python开发者
字符型图片验证码识别完整过程及Python实现
((x, y + 1)) \ + img.getpixel((x + 1, y)) \ + img.getpixel((x + 1 + img.getpixel((x, y + 1)) \ + img.getpixel((x + 1, y)) \ + img.getpixel + img.getpixel((x + 1, y - 1)) \ + img.getpixel((x + 1, y)) \ + img.getpixel + img.getpixel((x - 1, y - 1)) \ + img.getpixel((x - 1, y)) \ + img.getpixel + img.getpixel((x, y + 1)) \ + img.getpixel((x + 1, y - 1)) \ + img.getpixel
6.5K80发布于 2018-01-05 - 来自专栏拂晓风起
去噪：用于验证码图片识别的类续（C#代码）
(i - 1, j - 1).R < dgGrayValue) nearDots++; if (bmpobj.GetPixel(i, j - 1) if (bmpobj.GetPixel(i - 1, j + 1).R < dgGrayValue) nearDots++; if (bmpobj.GetPixel bmpobj.GetPixel(x + 1, y - 1).R; p[3] = bmpobj.GetPixel(x - 1, y).R; p[4] = bmpobj.GetPixel(x, y).R; p[5] = bmpobj.GetPixel(x + 1, y).R; p[6] = bmpobj.GetPixel(x - 1, y + 1).R; p[7] = bmpobj.GetPixel(x, y + 1).R;
2.3K30发布于 2018-07-03 - 来自专栏魂祭心
原 简单图像填充算法
) { //向左 如果为1返回 如果不是1 计算当前值 如果不在范围内设为1返回 并且向下递归 if (Math.Abs(bmp.GetPixel int j = 0; j < bmp.Height; j++) { map.SetPixel(i + 1, j + 1, bmp.GetPixel colors = new Stack<Point>(); colors.Push(new Point(x,y)); int colorB = map.GetPixel x--; if (flag[x, y] == 0) { if (Math.Abs(map.GetPixel y--; if (flag[x, y] == 0) { if (Math.Abs(map.GetPixel
1.3K50发布于 2018-05-17 - 来自专栏c#Winform自定义控件系列
c# 9png实现（图片缩放）
blnGet1) { Color c = bitmap.GetPixel(x, intTop); blnGet2) { Color c = bitmap.GetPixel(x, intBottom); blnGet1) { Color c = bitmap.GetPixel(x, intTop); blnGet1) { Color c = bitmap.GetPixel(intLeft, y); blnGet1) { Color c = bitmap.GetPixel(intLeft, y);
82720发布于 2019-09-11 - 来自专栏Python小屋
Python+pillow计算椭圆图形几何中心
从左向右扫描 for w in range(width): #从下向上扫描 for h in range(height): #获取图像指定位置的像素颜色 color = im.getpixel height, im): #从右向左扫描 for w in range(width-1, -1, -1): for h in range(height): color = im.getpixel width, height, im): for h in range(height-1, -1, -1): for w in range(width): color = im.getpixel searchBottom(width, height, im): for h in range(height): for w in range(width): color = im.getpixel
1.9K60发布于 2018-04-16 - 来自专栏逍遥剑客的游戏开发
灰度图像增强
(y+col) < 0 || (y+col) >= srcImage->GetHeight()) pixel = srcImage->GetPixel (x,y); else pixel = srcImage->GetPixel(x + row,y + col); (y+col) < 0 || (y+col) >= srcImage->GetHeight()) pixel = srcImage->GetPixel (x,y); else pixel = srcImage->GetPixel(x + row,y + col); GetHeight();y++) { int r = 0,g = 0,b = 0; COLORREF pixel = srcImage->GetPixel
1.6K90发布于 2018-05-21 - 来自专栏CTF新手教程
[2020西湖论剑]Misc-Yusapapa-Writeup
R=[] G=[] B=[] a,b = hide.size for x in range(a): for y in range(b): R.append(bin(hide.getpixel ((x,y))[0]).replace('0b','').zfill(8)) G.append(bin(hide.getpixel((x, y))[1]).replace('0b','' ).zfill(8)) B.append(bin(hide.getpixel((x, y))[2]).replace('0b','').zfill(8)) R1=[] G1=[] B1= ((x,y))[0]).replace('0b','').zfill(8)) G.append(bin(p.getpixel((x, y))[1]).replace('0b', ''). zfill(8)) B.append(bin(p.getpixel((x, y))[2]).replace('0b', '').zfill(8)) R1=[] G1=[] B1=[]
32010编辑于 2024-01-30 - 来自专栏逍遥剑客的游戏开发
灰度图像增强
pixel = srcImage->GetPixel(x,y); ? else ? pixel = srcImage->GetPixel(x + row,y + col); ? pixel = srcImage->GetPixel(x,y); ? else ? pixel = srcImage->GetPixel(x + row,y + col); ? COLORREF pixel = srcImage->GetPixel(x,y); ? //r += GetRValue(pixel); ?
1.2K30发布于 2019-02-20 - 来自专栏FunTester
android UiAutomator如何根据颜色判断控件的状态
int i = x; i < xx; i++) { for (int k = y;k < yy;k++) { int color = bitmap.getPixel Bitmap bitmap = BitmapFactory.decodeFile(path);//新建并实例化bitmap对象 int color = bitmap.getPixel Bitmap bitmap = BitmapFactory.decodeFile(path);//新建并实例化bitmap对象 int color = bitmap.getPixel Bitmap bitmap = BitmapFactory.decodeFile(path);//新建并实例化bitmap对象 int color = bitmap.getPixel 123/testDemo.png"; Bitmap bitmap = BitmapFactory.decodeFile(path); int color = bitmap.getPixel
2.7K20发布于 2019-09-17 - 来自专栏Android知识点总结
Android粒子篇之Bitmap像素级操作
bitmap = BitmapFactory.decodeResource(getResources(), R.mipmap.iv_200x200); int color_0_0 = bitmap.getPixel ); return null; } return filePic.getAbsolutePath(); } ---- 3.bitmap.getPixel int pixel_0_0 = bitmap.getPixel(0, 0); int pixel_1_0 = bitmap.getPixel(1, 0); int pixel_0_1 = bitmap.getPixel (0, 1); int pixel_1_1 = bitmap.getPixel(1, 1); 黑：pixel_0_0:-16777216 红：pixel_1_0:-65536 白：pixel ball.y = j * d + d / 2; //获取像素点的a、r、g、b int color_i_j = bitmap.getPixel
1.9K40发布于 2018-12-14 - 来自专栏Python小屋
Python使用空域融合技术进行图像去噪
im.size[0]): for h in range(im.size[1]): #生成器推导式，计算所有临时图像中对应位置上像素值的平均值 r = sum((tempIm.getpixel ((w,h))[0] for tempIm in ims)) // num g = sum((tempIm.getpixel((w,h))[1] for tempIm in ims )) // num b = sum((tempIm.getpixel((w,h))[2] for tempIm in ims)) // num #写入结果图像中对应位置 expectedRatio = 0.05 for w in range(width): for h in range(height): #获取两个图像同一位置上的像素值 c1 = im1.getpixel ((w,h)) c2 = im2.getpixel((w,h)) #生成器推导式，判断两个像素值各分量之差的绝对值是否小于阈值 similar = (abs
1.7K80发布于 2018-04-16 - 来自专栏撸码那些事
【封装那些事】 未利用封装
在DataBuffer层次结构类型中，定义方法GetPixel()和GetLengthl()。 ; public const int TYPE_INT = 4; public const int TYPE_USHORT = 5; public abstract int GetPixel return idata.Length; } } public class DataBufferByte : DataBuffer { public override int GetPixel sdata = (short[])inData; return sdata.Length; } } 并将客户程序switch语句及其case语句简化为： int pixel = GetPixel (inData); int length = GetLength(inData); 由于引用dataBuffer指向的是传入的DataBuffer子类对象，因此上述语句将调用相应子类的GetPixel(
1.5K40发布于 2018-06-21 - 来自专栏IT大咖说
这效果碉堡了！Bitmap粒子“爆炸”效果
BitmapFactory .decodeResource(getResources(), R.mipmap.iv_200x200); //获取第1行，第1个像素颜色 int color_0_0 = bitmap.getPixel int pixel_0_0 = bitmap.getPixel(0, 0); int pixel_1_0 = bitmap.getPixel(1, 0); int pixel_0_1 = bitmap.getPixel (0, 1); int pixel_1_1 = bitmap.getPixel(1, 1); 黑：pixel_0_0:-16777216 红：pixel_1_0:-65536 白：pixel ball.y = j * d + d / 2; //获取像素点的a、r、g、b int color_i_j = bitmap.getPixel ball.vY = rangeInt(-15, 35); ball.aY = 0.98f; ball.color = bitmap.getPixel
1.5K20发布于 2018-12-25 - 来自专栏编程技术向北，人生删除指南
【爬虫系列】1. 无事，Python验证码识别入门
continue if _w_ == w and _h_ == h: continue if img_obj.getpixel img.show() # 尝试去掉红像素点 w, h = img.size for _w in range(w): for _h in range(h): o_pixel = img.getpixel if _w == 0 or _w == w-1 or 0 == _h or _h == h-1: return 0 p_round_items = [img.getpixel ( (_w, _h-1)), img.getpixel((_w, _h+1)), img.getpixel((_w-1, _h)), img.getpixel((_w+1, _h img.size for _w in range(w): for _h in range(h): o_pixel = img.getpixel
66100发布于 2021-08-07 - 来自专栏python3
python图片合成
width): for y in range(height): if y%2==0: pixel=img1.getpixel img_new.putpixel((x,y),pixel) else: pixel=img2.getpixel )) for x in range(width): for y in range(height): r1,g1,b1=img1.getpixel ((x,y)) r2,g2,b2=img2.getpixel((x,y)) r=int(percent1*r1+percent2*r2) ((x,y)) r2,g2,b2=img2.getpixel((x,y)) r = int(percent1 * r1 + percent2
2.7K20发布于 2020-01-10 - 来自专栏撸码那些事
【封装那些事】 未利用封装
在DataBuffer层次结构类型中，定义方法GetPixel()和GetLengthl()。 ; public const int TYPE_INT = 4; public const int TYPE_USHORT = 5; public abstract int GetPixel return idata.Length; } } public class DataBufferByte : DataBuffer { public override int GetPixel sdata = (short[])inData; return sdata.Length; } } 并将客户程序switch语句及其case语句简化为： int pixel = GetPixel (inData); int length = GetLength(inData); 由于引用dataBuffer指向的是传入的DataBuffer子类对象，因此上述语句将调用相应子类的GetPixel(
1.2K90发布于 2018-05-18 - 来自专栏Java小王子
Python3.4图片转换素描
size for x in range(width): for y in range(height): a = img1.getpixel ((x, y)) b = img2.getpixel((x, y)) img1.putpixel((x, y), dodge(a, b
85410发布于 2021-11-02
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