a8b94863d2178d84b7e6c66eae38d0964eeca165,examples/instance_segmentation/labelme2coco.py,,main,#,25
Before Change
out_img_file = osp.join(args.output_dir, "JPEGImages", base + ".jpg")
img = labelme.utils.img_data_to_arr(label_file.imageData)
PIL.Image.fromarray(img).convert("RGB").save(out_img_file)
data["images"].append(
dict(
license=0,
url=None,
After Change
)
if not args.noviz:
labels, captions, masks = zip(
*[
(class_name_to_id[cnm], cnm, msk)
for (cnm, gid), msk in masks.items()
if cnm in class_name_to_id
]
)
viz = imgviz.instances2rgb(
image=img,
labels=labels,
masks=masks,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: wkentaro/labelme
Commit Name: a8b94863d2178d84b7e6c66eae38d0964eeca165
Time: 2020-07-13
Author: www.kentaro.wada@gmail.com
File Name: examples/instance_segmentation/labelme2coco.py
Class Name:
Method Name: main
Project Name: facebookresearch/pytext
Commit Name: ec54a0b75d93cab5ad407920f2bbfd2f33251cc9
Time: 2019-01-18
Author: zsc@fb.com
File Name: pytext/trainers/trainer.py
Class Name: Trainer
Method Name: train
Project Name: NervanaSystems/nlp-architect
Commit Name: 838473cfb15599030b0e777b9a9901e22409a9b1
Time: 2018-07-11
Author: peter.izsak@intel.com
File Name: nlp_architect/models/chunker.py
Class Name: SequenceChunker
Method Name: save