分割标签转换:json转mask提取每个类别
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from __future__ import division, print_function, absolute_import
import numpy as np
import os
import json
from PIL import Image,ImageDraw
color_code={}
color_code['red']='#FF0000'
color_code['black']='#000000'
def get_each_mask(jsonpath):
for file in os.listdir(jsonpath):
json_file = jsonpath + file
data = json.load(open(json_file))
img = Image.new('RGB', [640, 640], color_code['black'])
img1 = ImageDraw.Draw(img)
label_idx_list = list(np.arange(len(data['shapes'])))
for i in label_idx_list:
if data['shapes'][i]['label'] == '1':
xy = []
for xy_tuple in data['shapes'][i]['points']:
xy += xy_tuple
img1.polygon(xy, fill=color_code['red'], outline=color_code['red'])
label_idx_list.remove(i)
img.save(r'/media/....../mask_thyroid/'+ os.path.splitext(file)[0] + '.png')
for file in os.listdir(jsonpath):
json_file = jsonpath + file
data = json.load(open(json_file))
img = Image.new('RGB', [640, 640], color_code['black'])
img2 = ImageDraw.Draw(img)
label_idx_list = list(np.arange(len(data['shapes'])))
for i in label_idx_list:
if data['shapes'][i]['label'] == '2':
xy = []
for xy_tuple in data['shapes'][i]['points']:
xy += xy_tuple
img2.polygon(xy, fill=color_code['red'], outline=color_code['red'])
label_idx_list.remove(i)
img.save(r'/media/....../mask_nodule/'+ os.path.splitext(file)[0] + '.png')
if __name__=='__main__':
jsonpath=r'/media/....../json/'
get_each_mask(jsonpath)
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