Kentaro Wada d4d5c8099f Fix for flake8 %!s(int64=6) %!d(string=hai) anos
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.readme 4d4d26ef04 Update README.md %!s(int64=6) %!d(string=hai) anos
data_annotated 43c442db27 Add example of semantic_segmentation %!s(int64=7) %!d(string=hai) anos
data_dataset_voc eb58e964e3 Add labelme.utils.lblsave %!s(int64=6) %!d(string=hai) anos
README.md 585ee0a22e Update labelme2voc.py to use --labels for labels.txt %!s(int64=6) %!d(string=hai) anos
labelme2voc.py d4d5c8099f Fix for flake8 %!s(int64=6) %!d(string=hai) anos
labels.txt 43c442db27 Add example of semantic_segmentation %!s(int64=7) %!d(string=hai) anos

README.md

Semantic Segmentation Example

Annotation

labelme data_annotated --labels labels.txt --nodata

Convert to VOC-like 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