39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import json ,argparse
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import matplotlib.pyplot as plt
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import ast
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import ast
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import numpy,re
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path = ""
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parser1 = argparse.ArgumentParser(description="web")
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parser1.add_argument("InJsonPath", default='', type=str,
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help='InJsonPath.')
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parser1.add_argument("ImagePath", default='', type=str,
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help='ImagePath.')
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args = parser1.parse_args()
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print(args)
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with open(args.InJsonPath,'r',encoding='utf8')as fp:
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json_data = json.load(fp)
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num_display = float(json_data["sum"])
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density = json_data["density"]
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# density = re.sub('\s+', ',', density)
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# density.replace("\[,","[")
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#density1 = ast.literal_eval(density)
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density.replace("\[","").replace("\]","")
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print(len(density))
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print(density)
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print("1 is ",type(density))
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#print("2 is ", type(density1))
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exit()
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# print('这是文件中的json数据：',json_data)
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# print('这是读取到文件数据的数据类型：', type(json_data))
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plt.figure(num_display)
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plt.title("predict:{}".format(int(num_display)))
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plt.imshow(density)
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#print(density)
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plt.savefig(args.ImagePath)
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print("save is ok")
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plt.close() |