當要處理批量圖片，且每張圖片都要進行顯示時，用plt.imshow() plt.show()會出現內存泄漏, 管理器中看到其中一個python進程的內存不斷上漲，目前有找到解決方法

from matplotlib import pyplot as plt...for...: ... plt.figure(figsize=IMAGE_SIZE) plt.imshow(image_np) plt.show()

補充知識：python在內存中讀取base64圖片

import base64import skimage.ioimport matplotlib.pyplot as pltdef base64_to_rgb(base64_str): ''' 默認base64中的圖像為rgb，直接轉換成即可 :param base64: :return: ''' if isinstance(base64_str, bytes): base64_str = base64_str.decode('utf-8') imgdata = base64.b64decode(base64_str) img = skimage.io.imread(imgdata, plugin=’imageio’) return imgbase = ’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’img = base64_to_rgb(base)plt.imshow(img)plt.show()

以上這篇解決python中顯示圖片的plt.imshow plt.show()內存泄漏問題就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持好吧啦網。