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labelme2yolo
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accelerated conversion speed (#42)

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Wang Xin 2024-02-27 18:28:36 +08:00 committed by GitHub
parent dc8d885342
commit 94c14a6430
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2 changed files with 19 additions and 3 deletions
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2
src/labelme2yolo/__about__.py
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@ -4,4 +4,4 @@
"""
about version
"""
__version__ = "0.1.4"
__version__ = "0.1.5"

20
src/labelme2yolo/l2y.py
View File

@ -15,6 +15,7 @@ import shutil
import uuid
import logging
from multiprocessing import Pool
import PIL.ExifTags
import PIL.Image
import PIL.ImageOps
@ -163,6 +164,20 @@ class Labelme2YOLO:
self._label_id_map = {
label: label_id for label_id, label in enumerate(label_list)
}
else:
# get label list from json files for parallel processing
json_files = glob.glob(
os.path.join(self._json_dir, "**", "*.json"), recursive=True
)
for json_file in json_files:
with open(json_file, encoding="utf-8") as file:
json_data = json.load(file)
for shape in json_data["shapes"]:
if shape["label"] not in self._label_list:
self._label_list.append(shape["label"])
self._label_id_map = {
label: label_id for label_id, label in enumerate(self._label_list)
}
def _update_id_map(self, label: str):
if label not in self._label_list:
@ -230,8 +245,9 @@ class Labelme2YOLO:
names = (train_json_names, val_json_names, test_json_names)
for target_dir, json_names in zip(dirs, names):
logger.info("Converting %s set ...", target_dir)
for json_name in tqdm.tqdm(json_names):
self.covert_json_to_text(target_dir, json_name)
with Pool(os.cpu_count() - 1) as pool:
for json_name in tqdm.tqdm(json_names):
pool.apply(self.covert_json_to_text, (target_dir, json_name))
self._save_dataset_yaml()