tutorial/ -> examples/single_image/

README.md

@@ -87,12 +87,12 @@ Run `labelme --help` for detail.
 
 ```bash
 labelme  # Open GUI
-labelme tutorial/apc2016_obj3.jpg  # Specify file
-labelme tutorial/apc2016_obj3.jpg -O tutorial/apc2016_obj3.json  # Close window after the save
-labelme tutorial/apc2016_obj3.jpg --nodata  # Not include image data but relative image path in JSON file
-labelme tutorial/apc2016_obj3.jpg \
+labelme examples/tutorial/apc2016_obj3.jpg  # Specify file
+labelme examples/tutorial/apc2016_obj3.jpg -O examples/tutorial/apc2016_obj3.json  # Close window after the save
+labelme examples/tutorial/apc2016_obj3.jpg --nodata  # Not include image data but relative image path in JSON file
+labelme examples/tutorial/apc2016_obj3.jpg \
   --labels highland_6539_self_stick_notes,mead_index_cards,kong_air_dog_squeakair_tennis_ball  # Specify label list
-labelme tutorial/  # Open directory to annotate all images in it
+labelme examples/tutorial/  # Open directory to annotate all images in it
 ```
 
 The annotations are saved as a [JSON](http://www.json.org/) file. The
@@ -103,7 +103,7 @@ file includes the image itself.
 To view the json file quickly, you can use utility script:
 
 ```bash
-labelme_draw_json tutorial/apc2016_obj3.json
+labelme_draw_json examples/tutorial/apc2016_obj3.json
 ```
 
 <img src=".readme/apc2016_obj3_draw_json.jpg" width="70%" />
@@ -114,26 +114,26 @@ To convert the json to set of image and label, you can run following:
 
 
 ```bash
-labelme_json_to_dataset tutorial/apc2016_obj3.json -o tutorial/apc2016_obj3_json
+labelme_json_to_dataset examples/tutorial/apc2016_obj3.json -o examples/tutorial/apc2016_obj3_json
 ```
 
 It generates standard files from the JSON file.
 
-- [img.png](tutorial/apc2016_obj3_json/img.png): Image file.
-- [label.png](tutorial/apc2016_obj3_json/label.png): Int32 label file.
-- [label_viz.png](tutorial/apc2016_obj3_json/label_viz.png): Visualization of `label.png`.
-- [label_names.txt](tutorial/apc2016_obj3_json/label_names.txt): Label names for values in `label.png`.
+- [img.png](examples/tutorial/apc2016_obj3_json/img.png): Image file.
+- [label.png](examples/tutorial/apc2016_obj3_json/label.png): Int32 label file.
+- [label_viz.png](examples/tutorial/apc2016_obj3_json/label_viz.png): Visualization of `label.png`.
+- [label_names.txt](examples/tutorial/apc2016_obj3_json/label_names.txt): Label names for values in `label.png`.
 
 Note that loading `label.png` is a bit difficult
 (`scipy.misc.imread`, `skimage.io.imread` may not work correctly),
 and please use `PIL.Image.open` to avoid unexpected behavior:
 
 ```python
-# see tutorial/load_label_png.py also.
+# see examples/tutorial/load_label_png.py also.
 >>> import numpy as np
 >>> import PIL.Image
 
->>> label_png = 'tutorial/apc2016_obj3_json/label.png'
+>>> label_png = 'examples/tutorial/apc2016_obj3_json/label.png'
 >>> lbl = np.asarray(PIL.Image.open(label_png))
 >>> print(lbl.dtype)
 dtype('int32')