Posted in Python onApril 24, 2020
当要处理批量图片,且每张图片都要进行显示时,用plt.imshow() plt.show()会出现内存泄漏, 管理器中看到其中一个python进程的内存不断上涨,目前有找到解决方法
from matplotlib import pyplot as plt ... for...: ... plt.figure(figsize=IMAGE_SIZE) plt.imshow(image_np) plt.show()
补充知识:python在内存中读取base64图片
import base64 import skimage.io import matplotlib.pyplot as plt def base64_to_rgb(base64_str): """ 默认base64中的图像为rgb,直接转换成即可 :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 img base = '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' img = base64_to_rgb(base) plt.imshow(img) plt.show()
以上这篇解决python中显示图片的plt.imshow plt.show()内存泄漏问题就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持三水点靠木。
解决python中显示图片的plt.imshow plt.show()内存泄漏问题
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