Fix LabelMe format (#1260)

* Fix labelme filenames

* Change module path

* Add tests for LabelMe

* Update test

* Fix test

* Add line in changelog

CHANGELOG.md

@@ -20,6 +20,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 -
 
 ### Fixed
+- File names in LabelMe format export are no longer truncated ([#1259](https://github.com/opencv/cvat/issues/1259))
 - `occluded` and `z_order` annotation attributes are now correctly passed to Datumaro ([#1271](https://github.com/opencv/cvat/pull/1271))
 - Annotation-less tasks now can be exported as empty datasets in COCO ([#1277](https://github.com/opencv/cvat/issues/1277))
 - Frame name matching for video annotations import -

cvat/apps/annotation/labelme.py

@@ -107,17 +107,17 @@ def dump_frame_anno(frame_annotation):
     return ET.tostring(root_elem, encoding='unicode', pretty_print=True)
 
 def dump_as_labelme_annotation(file_object, annotations):
+    import os.path as osp
     from zipfile import ZipFile, ZIP_DEFLATED
 
     with ZipFile(file_object, 'w', compression=ZIP_DEFLATED) as output_zip:
         for frame_annotation in annotations.group_by_frame():
             xml_data = dump_frame_anno(frame_annotation)
-            filename = frame_annotation.name
-            filename = filename[ : filename.rfind('.')] + '.xml'
+            filename = osp.splitext(frame_annotation.name)[0] + '.xml'
             output_zip.writestr(filename, xml_data)
 
 def parse_xml_annotations(xml_data, annotations, input_zip):
-    from cvat.apps.annotation.coco import mask_to_polygon
+    from datumaro.util.mask_tools import mask_to_polygons
     from io import BytesIO
     from lxml import etree as ET
     import numpy as np
@@ -229,7 +229,7 @@ def parse_xml_annotations(xml_data, annotations, input_zip):
             mask = input_zip.read(osp.join(_MASKS_DIR, mask_file))
             mask = np.asarray(Image.open(BytesIO(mask)).convert('L'))
             mask = (mask != 0)
-            polygons = mask_to_polygon(mask)
+            polygons = mask_to_polygons(mask)
 
             for polygon in polygons:
                 ann_items.append(annotations.LabeledShape(

cvat/apps/engine/tests/test_rest_api.py

@@ -2655,6 +2655,15 @@ class TaskAnnotationAPITestCase(JobAnnotationAPITestCase):
                 "points": [20.0, 0.1, 10, 3.22, 4, 7, 10, 30, 1, 2, 4.44, 5.55],
                 "type": "polygon",
                 "occluded": True
+            },
+            {
+                "frame": 2,
+                "label_id": task["labels"][1]["id"],
+                "group": 1,
+                "attributes": [],
+                "points": [4, 7, 10, 30, 4, 5.55],
+                "type": "polygon",
+                "occluded": False
             }]
 
             tags_wo_attrs = [{
@@ -2711,6 +2720,12 @@ class TaskAnnotationAPITestCase(JobAnnotationAPITestCase):
             elif annotation_format == "MOT CSV 1.0":
                 annotations["tracks"] = rectangle_tracks_wo_attrs
 
+            elif annotation_format == "LabelMe ZIP 3.0 for images":
+                annotations["shapes"] = rectangle_shapes_with_attrs + \
+                                        rectangle_shapes_wo_attrs + \
+                                        polygon_shapes_wo_attrs + \
+                                        polygon_shapes_with_attrs
+
             return annotations
 
         response = self._get_annotation_formats(annotator)