Kentaro Wada f1526d7168 --labels required=True 6 anni fa
..
.readme 4d4d26ef04 Update README.md 6 anni fa
data_annotated 43c442db27 Add example of semantic_segmentation 7 anni fa
data_dataset_voc eb58e964e3 Add labelme.utils.lblsave 6 anni fa
README.md 6561c90029 -like -> -format 6 anni fa
labelme2voc.py f1526d7168 --labels required=True 6 anni fa
labels.txt 43c442db27 Add example of semantic_segmentation 7 anni fa

README.md

Semantic Segmentation Example

Annotation

labelme data_annotated --labels labels.txt --nodata

Convert to VOC-format Dataset

# It generates:
#   - data_dataset_voc/JPEGImages
#   - data_dataset_voc/SegmentationClass
#   - data_dataset_voc/SegmentationClassVisualization
./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt

Fig 1. JPEG image (left), PNG label (center), JPEG label visualization (right)

Note that the label file contains only very low label values (ex. 0, 4, 14), and 255 indicates the __ignore__ label value (-1 in the npy file).
You can see the label PNG file by following.

labelme_draw_label_png data_dataset_voc/SegmentationClassPNG/2011_000003.png