Article Outline
Python pil example 'labelme2img'
Functions in program:
def main():
Modules used in program:
import labelme
import numpy as np
import os.path as osp
import os
import json
import glob
import argparse
python labelme2img
Python pil example: labelme2img
#!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import json
import os
import os.path as osp
import numpy as np
from PIL import Image, ImageDraw
from base64 import b64decode
import labelme
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('labels_file')
parser.add_argument('in_dir')
parser.add_argument('out_dir')
args = parser.parse_args()
if osp.exists(args.out_dir):
print('Output directory already exists:', args.out_dir)
quit(1)
os.makedirs(args.out_dir)
class_names = []
class_name_to_id = {}
for i, line in enumerate(open(args.labels_file, encoding='utf-8').readlines()):
class_id = i - 1 # starts with -1
class_name = line.strip()
class_name_to_id[class_name] = class_id
if class_id == -1:
assert class_name == '__ignore__'
continue
elif class_id == 0:
assert class_name == '_background_'
class_names.append(class_name)
class_names = tuple(class_names)
print('class_names:', class_names)
colormap = labelme.utils.label_colormap(255)
colormap = (colormap * 255).astype(np.uint8)
for label_file in glob.glob(osp.join(args.in_dir, '*.json')):
print('Generating dataset from:', label_file)
with open(label_file) as f:
base = osp.splitext(osp.basename(label_file))[0]
out_img_file = osp.join(args.out_dir, base + '.jpg')
data = json.load(f)
imageData = data['imageData']
img = labelme.utils.img_b64_to_arr(imageData)
pil_img = Image.fromarray(img)
draw = ImageDraw.Draw(pil_img)
for shape in data['shapes']:
point = shape['points']
id = class_name_to_id[shape['label']]
draw.rectangle((point[0][0], point[0][1], point[1][0], point[1][1]), outline=tuple(colormap[id].tolist()), width=10)
pil_img.save(out_img_file)
if __name__ == '__main__':
main()
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com