Python verification code to identify instance code, python Verification Code instance

Python verification code to identify instance code, python Verification Code instance

This article focuses on the Python verification code identification, as detailed below.

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Import numpy as npimport matplotlib. pyplot as pltfrom sklearn. cluster import KMeansfrom PIL import imageloud to open the image like immo-np.array(image.open('yzm.png ') # obtain the image in three dimensions: h, w, san = im. shapeX = [(h-x, y) for x in range (h) for y in range (w) if im [x] [y] [2] <200] # converts X to the array type of numpy for subsequent computation X = np. array (X) n_clusters = 4k_means = KMeans (init = 'K-means ++ ', n_clusters = n_clusters) k_means.fit (X) k_means_labels = k_means.labels_k_means_cluster_centers = np. unique (k_means_labels) colors = ['# 4eacc5',' # ff9c34', '#4E9A06', '# FF3300'] plt. figure () plt. hold (True) for k, col in zip (range (n_clusters), colors): my_members = k_means_labels = k cluster_center = k_means_cluster_centers [k] plt. plot (X [my_members, 1], X [my_members, 0], 'w', markerfacecolor = col, marker = '. ') plt. plot (cluster_center [1], cluster_center [0], 'O', markerfacecolor = col, markeredgecolor = 'k', markersize = 6) plt. title ('kmeans ') plt. grid (True) plt. show ()

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