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@@ -79,7 +79,7 @@ pip install labelme # both python2/3 should work
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Usage
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-----
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-**Annotation**
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+### Annotation
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Run `labelme --help` for detail.
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@@ -95,7 +95,7 @@ labelme tutorial/apc2016_obj3.jpg -O tutorial/apc2016_obj3.json # Close window
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The annotations are saved as a [JSON](http://www.json.org/) file. The
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file includes the image itself.
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-**Visualization**
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+### Visualization
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To view the json file quickly, you can use utility script:
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@@ -105,7 +105,7 @@ labelme_draw_json tutorial/apc2016_obj3.json
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<img src=".readme/apc2016_obj3_draw_json.jpg" width="70%" />
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-**Convert to Dataset**
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+### Convert to Dataset
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To convert the json to set of image and label, you can run following:
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Kentaro Wada