AI代码解释 Image<Bgr,byte>img1=newImage<Bgr,byte>(@"test.jpg");Image<Bgr,byte>img2=img1.Not();//下面转换效果与Not()函数相同Image<Bgr,Byte>img3=img1.Convert<byte>(delegate(Byte b){return(Byte)(255-b);});pictureBox1.Image=img3.ToBitmap(); 2、关于Matrix矩阵类的使用 Martix的使用...
fromPILimportImageim1=Image.open('Python-logo.png')# python 官网的logoim2=Image.new(im1.mode,im1.size,"#000000")# 黑色im3=Image.new(im1.mode,im1.size,"#FFFFFF")# 白色im4=Image.composite(im3,im2,im1)# 以 im1 为蒙版,将 im3 粘贴到 im2 上im4.show() 得到结果: PIL.Image.eva...
例子:Draw a Grey Cross Over an Image import Image, ImageDraw im = Image.open("lena.pgm") # Creates an object that can be used to draw in the given image. draw = ImageDraw.Draw(im) # draw.line(xy, options) => Draws a line between the coordinates in the xy list. # The coordina...
Deep Learning for Computer Vision with Python An in-depth dive into the world of computer vision and deep learning. Start by learning the basics of DL, move on to training models on your own custom datasets, and advance to implementing state-of-the-art models. ...
ImagickKernel::fromMatrix ImagickKernel::getMatrix ImagickKernel::scale ImagickKernel::separate ImagickPixel (class) ImagickPixel::clear ImagickPixel::destroy ImagickPixel::getColor ImagickPixel::getColorAsString ImagickPixel::getColorCount ImagickPixel::getColorQuantum ImagickPixel::getColorValue ImagickPix...
Report: a xlsx template with specific mark, rename as.rpt, used to auto generate report. Motivation & Goal Python is a simple, elegant, powerful language, and has very rich third-party libraries for scientific computing. Based on the universal matrix structure and the corresponding rules, numpy...
Python PIL.Image模块:图片变更尺寸大小(宽x高) 现实需求:变更图片尺寸 要求:原图为建行一广告图片(来源于网络),缩小为800x600的小图片。 >>> import os>>> from PIL import Image>>> f_in = 'd:\\ccb.png'>>> img = Image.open(f_in)>>> out = img.resize((800, 600),Image.ANTIALIAS)>>>...
M = cv2.getRotationMatrix2D(center,-45,1.0) rotated = cv2.warpAffine(image,M,(w,h)) cv2.imshow("Rotation Image",rotated) cv2.waitKey(0) 首先计算旋转中心:使用//以获得整数 M是由Opencv计算所得的旋转矩阵,-45是指顺时针方向旋转45度,角度为正时逆时针旋转,角度为负时顺时针旋转 ...
matrix[i].reverse()#然后将矩阵的每一行翻转returnmatrix"""#思路2,时间复杂度O(n^2),空间复杂度O(1) n = len(matrix) for i in range(n/2): #沿着水平中线翻转 matrix[i], matrix[n - 1 - i] = matrix[n - 1 - i], matrix[i] ...
First you need to invoke accelerate config in the same directory as your training script (say it is named train.py) $ accelerate config Next, instead of calling python train.py as you would for single GPU, you would use the accelerate CLI as so $ accelerate launch train.py That's it!