使用labelme标注ground truth

使用labelme标注ground truth

step1：标注

直接在Anconda prompt 中输入 labelme 即可打开标注软件

Step2: json 转png

原文链接：=1001.2101.3001.6650.3&utm_medium=distribute.-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.highlightwordscore&depth_1-utm_source=distribute.-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.highlightwordscore=1001.2101.3001.6650.3&utm_medium=distribute.-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.highlightwordscore&depth_1-utm_source=distribute.-task-blog-2%7Edefault%7ECTRLIST%7Edefault-3.highlightwordscore

import argparse
import json
import os
import os.path as osp
import warnings
import numpy as np
import PIL.Image
import yaml
from labelme import utilsdef main():json_file='F:/Anaconda/data_json/'	#这里填入你的json文件的文件夹路径list = os.listdir(json_file)for i in range(0, len(list)):path = os.path.join(json_file, list[i])if os.path.isfile(path):data = json.load(open(path))img = utils.img_b64_to_arr(data['imageData'])lbl, lbl_names = utils.labelme_shapes_to_label(img.shape, data['shapes'])captions = ['%d: %s' % (l, name) for l, name in enumerate(lbl_names)]lbl_viz = utils.draw_label(lbl, img, captions)out_dir = osp.basename(list[i]).replace('.', '_')out_dir = osp.join(osp.dirname(list[i]), out_dir)if ists(out_dir):os.mkdir(out_dir)PIL.Image.fromarray(img).save(osp.join(out_dir, 'img.png'))PIL.Image.fromarray(lbl).save(osp.join(out_dir, 'label.png'))PIL.Image.fromarray(lbl_viz).save(osp.join(out_dir, 'label_viz.png'))with open(osp.join(out_dir, ''), 'w') as f:for lbl_name in lbl_names:f.write(lbl_name + 'n')warnings.warn('info.yaml is being replaced by ')info = dict(label_names=lbl_names)with open(osp.join(out_dir, 'info.yaml'), 'w') as f:yaml.safe_dump(info, f, default_flow_style=False)print('Saved to: %s' % out_dir)if __name__ == '__main__':main()

Step3：将mask.png 转化成二值图

import cv2#cv2.imread 的FLAG设置为2
#否则图像是全0的
img = cv2.imread('./5.png',2) img_255 = 255 * img#保存成 .jpg 格式
#若保存成 .png 格式，还是全黑的，不知道什么原因。
cv2.imwrite('./5.jpg', img_255 )