[ENG-495][ENG-549] Fix non-polygon and single point geometries

labelbox/__init__.py

@@ -1,3 +1,3 @@
 "The Labelbox python package."
 
-__version__ = '0.0.6'
+__version__ = '0.0.7'

labelbox/exporters/coco_exporter.py

@@ -15,6 +15,9 @@
 from labelbox.exceptions import UnknownFormatError
 
 
+LOGGER = logging.getLogger(__name__)
+
+
 def from_json(labeled_data, coco_output, label_format='WKT'):
     "Writes labelbox JSON export into MS COCO format."
     # read labelbox JSON output
@@ -29,10 +32,10 @@ def from_json(labeled_data, coco_output, label_format='WKT'):
         try:
             add_label(coco, data['ID'], data['Labeled Data'], data['Label'], label_format)
         except requests.exceptions.MissingSchema as exc:
-            logging.exception(exc)
+            LOGGER.warning(exc)
             continue
         except requests.exceptions.ConnectionError:
-            logging.exception('Failed to fetch image from %s', data['Labeled Data'])
+            LOGGER.warning('Failed to fetch image from %s, skipping', data['Labeled Data'])
             continue
 
     with open(coco_output, 'w+') as file_handle:
@@ -155,18 +158,20 @@ def _get_polygons(label_format, label_data):
                 xy_list = xy_list['geometry']
 
                 # V2 and V3
-                assert isinstance(xy_list, list), \
-                    'Expected list in "geometry" key but got {}'.format(xy_list)
+                if not isinstance(xy_list, list):
+                    LOGGER.warning('Could not get an point list to construct polygon, skipping')
+                    continue
             else:  # V2, or non-list
                 if not isinstance(xy_list, list) or not xy_list or 'x' not in xy_list[0]:
                     # skip non xy lists
+                    LOGGER.warning('Could not get an point list to construct polygon, skipping')
                     continue
 
             if len(xy_list) > 2:  # need at least 3 points to make a polygon
                 polygons.append(Polygon(map(lambda p: (p['x'], p['y']), xy_list)))
     else:
         exc = UnknownFormatError(label_format=label_format)
-        logging.exception(exc.message)
+        LOGGER.exception(exc.message)
         raise exc
 
     return polygons

labelbox/exporters/voc_exporter.py

@@ -15,6 +15,9 @@
 from labelbox.exporters.pascal_voc_writer import Writer as PascalWriter
 
 
+LOGGER = logging.getLogger(__name__)
+
+
 def from_json(labeled_data, annotations_output_dir, images_output_dir,
               label_format='WKT'):
     """Convert Labelbox JSON export to Pascal VOC format.
@@ -26,18 +29,15 @@ def from_json(labeled_data, annotations_output_dir, images_output_dir,
         images_output_dir (str): File path of directory to write images.
         label_format (str): Format of the labeled data.
             Valid options are: "WKT" and "XY", default is "WKT".
-
-    Todo:
-        * Add functionality to allow use of local copy of an image instead of
-            downloading it each time.
     """
 
     # make sure annotation output directory is valid
     try:
         annotations_output_dir = os.path.abspath(annotations_output_dir)
         assert os.path.isdir(annotations_output_dir)
-    except AssertionError:
-        logging.exception('Annotation output directory does not exist')
+    except AssertionError as exc:
+        LOGGER.exception('Annotation output directory does not exist, please create it first.')
+        raise exc
 
     # read labelbox JSON output
     with open(labeled_data, 'r') as file_handle:
@@ -55,10 +55,10 @@ def from_json(labeled_data, annotations_output_dir, images_output_dir,
                 annotations_output_dir)
 
         except requests.exceptions.MissingSchema as exc:
-            logging.exception(exc)
+            LOGGER.warning(exc)
             continue
         except requests.exceptions.ConnectionError:
-            logging.exception('Failed to fetch image from %s', data['Labeled Data'])
+            LOGGER.warning('Failed to fetch image from %s, skipping', data['Labeled Data'])
             continue
 
 
@@ -141,7 +141,7 @@ def _add_pascal_object_from_xy(xml_writer, img_height, polygons, label):
             polygon = polygon['geometry']
         if not isinstance(polygon, list) \
                 or not all(map(lambda p: 'x' in p and 'y' in p, polygon)):
-            # couldn't make a list of points, give up
+            LOGGER.warning('Could not get an point list to construct polygon, skipping')
             return xml_writer
 
         xy_coords = []

labelbox/lbx.py

@@ -33,6 +33,8 @@
 import numpy as np
 from PIL import Image
 
+LOGGER = logging.getLogger(__name__)
+
 # NOTE: image-segmentation front-end requires background pixels to be white to
 #       render them transparent
 BACKGROUND_RGBA = np.array([255, 255, 255, 255], dtype=np.uint8)
@@ -92,9 +94,9 @@ def _color_to_key(color):
                 offset += 4
                 count = 0
             except KeyError as exc:
-                logging.error('Could not find color %s in colormap', pixel_words[i])
+                LOGGER.error('Could not find color %s in colormap', pixel_words[i])
                 if np.all(pixel_words[i] == np.array([0, 0, 0, 0])):
-                    logging.error('Did you remember to set background pixels to `BACKGROUND_RGBA`?')
+                    LOGGER.error('Did you remember to set background pixels to `BACKGROUND_RGBA`?')
                 raise exc
 
     # write header

tests/test_exporters.py

@@ -41,6 +41,10 @@ def test_empty_skipped(self, tmpfile, datadir):
         labeled_data = datadir.join('empty_skipped.json')
         lb2co.from_json(labeled_data=labeled_data, coco_output=tmpfile)
 
+    def test_non_polygons(self, tmpfile, datadir):
+        labeled_data = datadir.join('non_polygon.json')
+        lb2co.from_json(labeled_data=labeled_data, coco_output=tmpfile, label_format='XY')
+
 
 class TestVocExporter(object):
     def test_wkt_1(self, tmpdir, datadir):
@@ -85,3 +89,7 @@ def test_bad_label_format(self, tmpdir, datadir):
         labeled_data = datadir.join('labelbox_xy_1.json')
         with pytest.raises(lb2pa.UnknownFormatError):
             lb2pa.from_json(labeled_data, tmpdir, tmpdir, label_format='INVALID')
+
+    def test_non_polygons(self, tmpdir, datadir):
+        labeled_data = datadir.join('non_polygon.json')
+        lb2pa.from_json(labeled_data, tmpdir, tmpdir, label_format='XY')

tests/test_exporters/non_polygon.json

@@ -0,0 +1 @@
+[{"ID":"cjlmqp9dnw28w0771zeasfqie","Labeled Data":"https://storage.googleapis.com/labelbox-example-datasets/tesla/2018-Tesla-Model-3-front-three-quarter-in-motion.jpg","Label":{"box":[{"geometry":{"x":1259,"y":1411}}],"select_the_cup_models":["model_3"]},"Created By":"feynman@labelbox.com","Project Name":"seg tesla v3","Created At":"2018-09-03T20:30:51.000Z","Seconds to Label":3.111,"External ID":null,"Agreement":null,"Dataset Name":"Example Tesla Dataset","Reviews":[],"View Label":"https://image-segmentation-v3.labelbox.com?project=cjl8ss8h83bep0715vux0nugp&label=cjlmqp9dnw28w0771zeasfqie"}]