ASCII：一个简单的字符编码方案

pillow模块：读取图像，访问底层数据
numpy模块：计算平均值

import sys, random, argparseimport numpy as npimport mathfrom PIL import Image

定义灰度等级和网格

定义两种灰度等级作为全局值，用于将亮度值转换为ASCII 字符

从最黑暗变到最亮

# 70 levels of graygscale1 = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "# 10 levels of graygscale2 = '@%#*+=-:. '

http://paulbourke.net/dataformats/asciiart/

准备图像，并分割成网格

cols = 80scale = 0.43# open the image and convert to grayscaleimage = Image.open('youling.png').convert("L")# store the image dimensions  # image.sizeW, H = image.size[0], image.size[1]# compute the tile width  根据用户给定列数（cols）计算每个网格的宽度w = W/cols# compute the tile height based on the aspect ratio and scale of the fonth = w/scale# compute the number of rows to use in the final gridrows = int(H/h)

w网格的宽 = W图片的宽 / cols列数
h网格的高度 = w网格的宽 / 垂直比例系数scale
rows行 总共有多少行

Pillow模块里的convert()函数可以将图像从一种模式转换为另一种模式
convert(‘L’)将原始图像转换为灰度图像 L is luminance：是图像亮度的单位
convert(‘1’)将原始图像转换为黑白模式
convert(‘P’, palette=Image.ADAPTIVE, colors=1)将原始图像转换为使用颜色调色板的单色模式,colors=2，图片只有2种颜色
还有RGB、RGBA，CMYK，LAB，HSV，YCbCr、XYZ等等模式

CMYK代表青、洋红、黄和黑色，是一种用于印刷的颜色模式。它是印刷过程中使用的四种油墨颜色的缩写，包括青色（Cyan）、洋红色（Magenta）、黄色（Yellow）和黑色（Key），通过它们的不同组合可以得到各种颜色和色调。相对于RGB颜色模式（红、绿、蓝），CMYK颜色模式更适合印刷。

计算平均亮度

计算灰度图像中每一小块的平均亮度

def getAverageL(image):    # get the image as a numpy array    im = np.array(image)    # get the dimensions    w,h = im.shape    # get the average    return np.average(im.reshape(w*h))

将 image 转换成一个 numpy数组，此时 im 成为一个二维数组，包含每个像素的亮度

保存该图像的尺寸

numpy.average()计算该图像中的亮度平均值，做法是用 numpy.reshape()先将维度为宽和高(w，h)的二维数组转换成扁平的一维，其长度是宽度乘以高度(w*h)。然后 numpy.average()调用对这些数组值求和并计算平均值

从图像生成 ASCII 内容

# an ASCII image is a list of character stringsaimg = []# generate the list of tile dimensionsfor j in range(rows):    # 计算每个图像小块的起始和结束 y 坐标    y1 = int(j*h)    y2 = int((j+1)*h)    # correct the last tile    if j == rows-1:        y2 = H    # append an empty string    aimg.append("")    for i in range(cols):        # crop the image to fit the tile        x1 = int(i*w)        x2 = int((i+1)*w)        # correct the last tile        if i == cols-1:            x2 = W        # crop the image to extract the tile into another Image object        img = image.crop((x1, y1, x2, y2))        # get the average luminance # 获取网格的平均亮度值        avg = int(getAverageL(img))        # look up the ASCII character for grayscale value (avg)        if moreLevels:        # 将平均亮度值[0,255]对用到70级灰度[0,69]        gsval = gscale1[int((avg*69)/255)]    else:        # 将平均亮度值[0,255]对用到10级灰度[0,9]        gsval = gscale2[int((avg*9)/255)]        # append the ASCII character to the string        aimg[j] += gsval

int((avg69)/255)
if avg = 255，可得int((avg69)/255)=69，在该字符串中最后一个索引是69

命令行选项

接下来，为程序定义一些命令行选项。这段代码使用内置的 argparse 类：

parser = argparse.ArgumentParser(description="descStr")# add expected argumentsparser.add_argument('--file', dest='imgFile', required=True)parser.add_argument('--scale', dest='scale', required=False)parser.add_argument('--out', dest='outFile', required=False)parser.add_argument('--cols', dest='cols', required=False)parser.add_argument('--morelevels', dest='moreLevels', action='store_true')

包含指定图像文件输入的选项（唯一必须的参数）
设置垂直比例因子
设置输出文件名
设置 ASCII 输出中的文本列数
添加–morelevels 选项，让用户选择更多层次的灰度梯度

将 ASCII 文本图形字符串写入文本文件

最后，将生成的 ASCII 字符串列表，写入一个文本文件：

# open a new text filef = open(outFile, 'w')# write each string in the list to the new filefor row in aimg:f.write(row + '\n')# clean upf.close()

完整代码

import sys, random, argparseimport numpy as npimport mathfrom PIL import Image# 70 levels of graygscale1 = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "# 10 levels of graygscale2 = '@%#*+=-:. 'def getAverageL(image):    # get the image as a numpy array    im = np.array(image)    # get the dimensions    w,h = im.shape    # get the average    return np.average(im.reshape(w*h))def covertImageToAscii(fileName, cols, scale, moreLevels):    """    Given Image and dimensions (rows, cols), returns an m*n list of Images    """    # declare globals    global gscale1, gscale2    # open image and convert to grayscale    image = Image.open(fileName).convert('L')    # store the image dimensions    W, H = image.size[0], image.size[1]    print("input image dims: %d x %d" % (W, H))    # compute tile width    w = W/cols    # compute tile height based on the aspect ratio and scale of the font    h = w/scale    # compute number of rows to use in the final grid    rows = int(H/h)        print("cols: %d, rows: %d" % (cols, rows))    print("tile dims: %d x %d" % (w, h))        # check if image size is too small    if cols > W or rows > H:        print("Image too small for specified cols!")        exit(0)            # an ASCII image is a list of character strings    aimg = []    # generate the list of tile dimensions    for j in range(rows):        # 计算每个图像小块的起始和结束 y 坐标        y1 = int(j*h)        y2 = int((j+1)*h)        # correct the last tile        if j == rows-1:            y2 = H        # append an empty string        aimg.append("")        for i in range(cols):            # crop the image to fit the tile            x1 = int(i*w)            x2 = int((i+1)*w)            # correct the last tile            if i == cols-1:                x2 = W            # crop the image to extract the tile into another Image object            img = image.crop((x1, y1, x2, y2))            # get the average luminance # 获取网格的平均亮度值            avg = int(getAverageL(img))            # look up the ASCII character for grayscale value (avg)            if moreLevels:                # 将平均亮度值[0,255]对用到70级灰度[0,69]                gsval = gscale1[int((avg*69)/255)]            else:                # 将平均亮度值[0,255]对用到10级灰度[0,9]                gsval = gscale2[int((avg*9)/255)]            # append the ASCII character to the string            aimg[j] += gsval    # return text image    return aimg# main() functiondef main():    # create parser    descStr = "This program converts an image into ASCII art."    parser = argparse.ArgumentParser(description=descStr)    # add expected arguments    parser.add_argument('--file', dest='imgFile', required=True)    parser.add_argument('--scale', dest='scale', required=False)    parser.add_argument('--out', dest='outFile', required=False)    parser.add_argument('--cols', dest='cols', required=False)    parser.add_argument('--morelevels', dest='moreLevels', action='store_true')        # parse arguments    args = parser.parse_args()        imgFile = args.imgFile    # set output file    outFile = 'out.txt'    if args.outFile:        outFile = args.outFile    # set scale default as 0.43, which suits a Courier font    scale = 0.43    if args.scale:        scale = float(args.scale)    # set cols    cols = 80    if args.cols:        cols = int(args.cols)    print('generating ASCII art...')    # convert image to ASCII text    aimg = covertImageToAscii(imgFile, cols, scale, args.moreLevels)         # open a new text file    f = open(outFile, 'w')    # write each string in the list to the new file    for row in aimg:        f.write(row + '\n')    # clean up    f.close()    print("ASCII art written to %s" % outFile)    # call mainif __name__ == '__main__':    main()

https://github.com/electronut/pp/blob/master/ascii/ascii.py

将完整代码保存到py文件中

打开终端，切换到ascii.py目录

输入下面代码

$ python ascii.py --file data/robot.jpg --cols 100

将 data/robot.jpg 替换为你想使用的图像文件的相对路径

使用vscode打开out.txt文件，使用Ctrl±可以缩小，可以看到全屏，只能看10灰度等级

还可使用notepad查看out.txt文件



–morelevels就是70灰度等级

来源地址：https://blog.csdn.net/weixin_64729620/article/details/132559047