np array转json import numpy as np import codecs, json a = np.arange().reshape(,) # a by array b = a.tolist() # nested lists with same data, indices file_path = "/path.json" ## your path variable json.dump(b, codecs.open(file_path, ) ### this save
下面的例子是在文件的指定位置增加指定字符串的例子 修改配置文件: def add_str(pre_str): lines = [] flag = True f = open("z.txt") for line in f: lines.append(line) if line.strip("\n ") == "</se.diabol.jenkins.pipeline.DeliveryPipelineView>" and flag: li
(1)数据准备 数据集介绍: 数据集中存放的是1223幅图像,其中756个负样本(图像名称为0.1~0.756),458个正样本(图像名称为1.1~1.458),其中:"."前的标号为样本标签,"."后的标号为样本序号 (2)利用python读取文件夹中所有图像 ''' Load the image files form the folder input: imgDir: the direction of the folder imgName:the name of