[Datumaro] Add rounding for coordinates (#1970)

* Add rounding for annotation coordinates

* Fix polygon area computation

* update changelog

CHANGELOG.md

@@ -9,7 +9,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 -
 
 ### Changed
--
+- Shape coordinates are rounded to 2 digits in dumped annotations (<https://github.com/opencv/cvat/pull/1970>)
+- COCO format does not produce polygon points for bbox annotations (<https://github.com/opencv/cvat/pull/1953>)
 
 ### Deprecated
 -

datumaro/datumaro/components/extractor.py

@@ -20,6 +20,9 @@ AnnotationType = Enum('AnnotationType',
         'caption',
     ])
 
+_COORDINATE_ROUNDING_DIGITS = 2
+
+
 class Annotation:
     # pylint: disable=redefined-builtin
     def __init__(self, id=None, type=None, attributes=None, group=None):
@@ -378,9 +381,9 @@ class _Shape(Annotation):
             id=None, attributes=None, group=None):
         super().__init__(id=id, type=type,
             attributes=attributes, group=group)
-        if points is None:
-            points = []
-        self._points = list(points)
+        if points is not None:
+            points = [round(p, _COORDINATE_ROUNDING_DIGITS) for p in points]
+        self._points = points
 
         if label is not None:
             label = int(label)
@@ -460,8 +463,8 @@ class Polygon(_Shape):
     def get_area(self):
         import pycocotools.mask as mask_utils
 
-        _, _, w, h = self.get_bbox()
-        rle = mask_utils.frPyObjects([self.points], h, w)
+        x, y, w, h = self.get_bbox()
+        rle = mask_utils.frPyObjects([self.points], y + h, x + w)
         area = mask_utils.area(rle)[0]
         return area
 

datumaro/datumaro/plugins/coco_format/converter.py

@@ -15,13 +15,12 @@ import pycocotools.mask as mask_utils
 import datumaro.util.annotation_tools as anno_tools
 import datumaro.util.mask_tools as mask_tools
 from datumaro.components.converter import Converter
-from datumaro.components.extractor import (DEFAULT_SUBSET_NAME, AnnotationType,
-    Points)
+from datumaro.components.extractor import (_COORDINATE_ROUNDING_DIGITS,
+    DEFAULT_SUBSET_NAME, AnnotationType, Points)
 from datumaro.util import cast, find, str_to_bool
 
 from .format import CocoPath, CocoTask
 
-
 SegmentationMode = Enum('SegmentationMode', ['guess', 'polygons', 'mask'])
 
 class _TaskConverter:
@@ -308,7 +307,7 @@ class _InstancesConverter(_TaskConverter):
             'category_id': cast(ann.label, int, -1) + 1,
             'segmentation': segmentation,
             'area': float(area),
-            'bbox': list(map(float, bbox)),
+            'bbox': [round(float(n), _COORDINATE_ROUNDING_DIGITS) for n in bbox],
             'iscrowd': int(is_crowd),
         }
         if 'score' in ann.attributes:
@@ -336,7 +335,6 @@ class _KeypointsConverter(_InstancesConverter):
                 'supercategory': cast(label_cat.parent, str, ''),
                 'keypoints': [],
                 'skeleton': [],
-
             }
 
             if point_categories is not None: