本文主要介绍了python图片转为矢量图,分享给大家,具体如下:
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import numpy as np import matplotlib.pyplot as plt import cv2 fig, ax = plt.subplots() plt.figure( 1 ) image = cv2.imread( "2.jpg" ) # you can specify the marker size two ways directly: # 这样一个一个像素太慢了故而要将同样颜色的坐标进行分类处理 color_class = [] x_y = dict () for x,w in enumerate (image): for y,colors in enumerate (w): if colors.tolist() not in color_class: s = image[:, :, : 1 ] = = colors[ 0 ] s1 = image[:, :, 1 : 2 ] = = colors[ 1 ] s2 = image[:, :, 2 : 3 ] = = colors[ 2 ] ss = s * s1 * s2 color_class.append(colors.tolist()) x_y[ len (color_class)] = np.where(ss.reshape((ss.shape[ 0 ],ss.shape[ 1 ]))) print (x,y) for i ,colors in enumerate (color_class): a, b = x_y[i + 1 ] plt.plot(a,b, "." ,color = [colors[ 2 ] / 255 ,colors[ 1 ] / 255 ,colors[ 0 ] / 255 ], markersize = 1 , label = 'a' ) # blue circle with size 20 fig.savefig( 'scatter.svg' , dpi = 200 , format = 'svg' ) if __name__ = = '__main__' : pass |
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原文链接:https://blog.csdn.net/weixin_32759777/article/details/115261010