代码是这个,运行之后CPU占用在25%,运行20分钟分钟后CPU内存溢出,NOTEBOOK自动关闭,这种得咋办啊?
import numpy as np
import cv2
import os
img_h, img_w = 256, 256 #根据自己数据集适当调整,影响不大
means, stdevs = [], []
img_list = []
imgs_path = 'work/789'
imgs_path_list = os.listdir(imgs_path)
len_ = len(imgs_path_list)
i = 0
for item in imgs_path_list:
img = cv2.imread(os.path.join(imgs_path,item))
img = cv2.resize(img,(img_w,img_h))
img = img[:, :, :, np.newaxis]
img_list.append(img)
i += 1
# print(i,'/',len_)
imgs_path = 'work/456'
imgs_path_list = os.listdir(imgs_path)
len_ = len(imgs_path_list)
i = 0
for item in imgs_path_list:
img = cv2.imread(os.path.join(imgs_path,item))
img = cv2.resize(img,(img_w,img_h))
img = img[:, :, :, np.newaxis]
img_list.append(img)
i += 1
# print(i,'/',len_)
# print(len(img_list))
imgs = np.concatenate(img_list, axis=3)
imgs = imgs.astype(np.float32) / 255.
for i in range(3):
pixels = imgs[:, :, i, :].ravel() # 拉成一行
means.append(np.mean(pixels))
stdevs.append(np.std(pixels))
# BGR --> RGB , CV读取的需要转换,PIL读取的不用转换
means.reverse()
stdevs.reverse()
print("normMean = {}".format(means))
print("normStd = {}".format(stdevs))
多打印点内存占用的日志, 然后看日志呗
啥意思
一直在叠加把
就是让你打印点内存占用的日志,看看情况
这个代码很明显把所有数据进行计算,CPU不够用了,你可以把数据拆成四分,分别进行计算