Add LabelMe format support

CHANGELOG.md

@@ -10,9 +10,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Ability to [get basic information about users without admin permissions](
 https://github.com/opencv/cvat/issues/750).
 - Changed REST API: removed PUT and added DELETE methods for /api/v1/users/ID.
-- Added Mask-RCNN Auto Annotation Script in OpenVINO format
-- Added Yolo Auto Annotation Script
+- Mask-RCNN Auto Annotation Script in OpenVINO format
+- Yolo Auto Annotation Script
 - Auto segmentation using Mask_RCNN component (Keras+Tensorflow Mask R-CNN Segmentation)
+- Ability to dump/load annotations in LabelMe format from UI
 
 ### Changed
 -

README.md

@@ -43,6 +43,7 @@ Format selection is possible after clicking on the Upload annotation / Dump anno
 | [MS COCO Object Detection](http://cocodataset.org/#format-data)                    | X      | X      |
 | PNG mask                                                                           | X      |        |
 | [TFrecord](https://www.tensorflow.org/tutorials/load_data/tf_records)              | X      | X      |
+| [LabelMe](http://labelme.csail.mit.edu/Release3.0)                                 | X      | X      |
 
 ## Links
 - [Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video](https://www.intel.ai/introducing-cvat)

cvat/apps/annotation/labelme.py

@@ -0,0 +1,307 @@
+# Copyright (C) 2019 Intel Corporation
+#
+# SPDX-License-Identifier: MIT
+
+format_spec = {
+    "name": "LabelMe",
+    "dumpers": [
+        {
+            "display_name": "{name} {format} {version} for images",
+            "format": "ZIP",
+            "version": "3.0",
+            "handler": "dump_as_labelme_annotation"
+        }
+    ],
+    "loaders": [
+        {
+            "display_name": "{name} {format} {version}",
+            "format": "ZIP",
+            "version": "3.0",
+            "handler": "load",
+        }
+    ],
+}
+
+
+_DEFAULT_USERNAME = 'cvat'
+_MASKS_DIR = 'Masks'
+
+
+def dump_frame_anno(frame_annotation):
+    from collections import defaultdict
+    from lxml import etree as ET
+
+    root_elem = ET.Element('annotation')
+
+    ET.SubElement(root_elem, 'filename').text = frame_annotation.name
+    ET.SubElement(root_elem, 'folder').text = ''
+
+    source_elem = ET.SubElement(root_elem, 'source')
+    ET.SubElement(source_elem, 'sourceImage').text = ''
+    ET.SubElement(source_elem, 'sourceAnnotation').text = 'CVAT'
+
+    image_elem = ET.SubElement(root_elem, 'imagesize')
+    ET.SubElement(image_elem, 'nrows').text = str(frame_annotation.height)
+    ET.SubElement(image_elem, 'ncols').text = str(frame_annotation.width)
+
+    groups = defaultdict(list)
+
+    for obj_id, shape in enumerate(frame_annotation.labeled_shapes):
+        obj_elem = ET.SubElement(root_elem, 'object')
+        ET.SubElement(obj_elem, 'name').text = str(shape.label)
+        ET.SubElement(obj_elem, 'deleted').text = '0'
+        ET.SubElement(obj_elem, 'verified').text = '0'
+        ET.SubElement(obj_elem, 'occluded').text = \
+            'yes' if shape.occluded else 'no'
+        ET.SubElement(obj_elem, 'date').text = ''
+        ET.SubElement(obj_elem, 'id').text = str(obj_id)
+
+        parts_elem = ET.SubElement(obj_elem, 'parts')
+        if shape.group:
+            groups[shape.group].append((obj_id, parts_elem))
+        else:
+            ET.SubElement(parts_elem, 'hasparts').text = ''
+            ET.SubElement(parts_elem, 'ispartof').text = ''
+
+        if shape.type == 'rectangle':
+            ET.SubElement(obj_elem, 'type').text = 'bounding_box'
+
+            poly_elem = ET.SubElement(obj_elem, 'polygon')
+            x0, y0, x1, y1 = shape.points
+            points = [ (x0, y0), (x1, y0), (x1, y1), (x0, y1) ]
+            for x, y in points:
+                point_elem = ET.SubElement(poly_elem, 'pt')
+                ET.SubElement(point_elem, 'x').text = '%.2f' % x
+                ET.SubElement(point_elem, 'y').text = '%.2f' % y
+
+            ET.SubElement(poly_elem, 'username').text = _DEFAULT_USERNAME
+        elif shape.type == 'polygon':
+            poly_elem = ET.SubElement(obj_elem, 'polygon')
+            for x, y in zip(shape.points[::2], shape.points[1::2]):
+                point_elem = ET.SubElement(poly_elem, 'pt')
+                ET.SubElement(point_elem, 'x').text = '%.2f' % x
+                ET.SubElement(point_elem, 'y').text = '%.2f' % y
+
+            ET.SubElement(poly_elem, 'username').text = _DEFAULT_USERNAME
+        elif shape.type == 'polyline':
+            pass
+        elif shape.type == 'points':
+            pass
+        else:
+            raise NotImplementedError("Unknown shape type '%s'" % shape.type)
+
+        attrs = ['%s=%s' % (a.name, a.value) for a in shape.attributes]
+        ET.SubElement(obj_elem, 'attributes').text = ', '.join(attrs)
+
+    for _, group in groups.items():
+        leader_id, leader_parts_elem = group[0]
+        leader_parts = [str(o_id) for o_id, _ in group[1:]]
+        ET.SubElement(leader_parts_elem, 'hasparts').text = \
+            ','.join(leader_parts)
+        ET.SubElement(leader_parts_elem, 'ispartof').text = ''
+
+        for obj_id, parts_elem in group[1:]:
+            ET.SubElement(parts_elem, 'hasparts').text = ''
+            ET.SubElement(parts_elem, 'ispartof').text = str(leader_id)
+
+    return ET.tostring(root_elem, encoding='unicode', pretty_print=True)
+
+def dump_as_labelme_annotation(file_object, annotations):
+    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'
+            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 io import BytesIO
+    from lxml import etree as ET
+    import numpy as np
+    import os.path as osp
+    from PIL import Image
+
+    def parse_attributes(attributes_string):
+        parsed = []
+        if not attributes_string:
+            return parsed
+
+        read = attributes_string.split(',')
+        read = [a.strip() for a in read if a.strip()]
+        for attr in read:
+            if '=' in attr:
+                name, value = attr.split('=', maxsplit=1)
+                parsed.append(annotations.Attribute(name, value))
+            else:
+                parsed.append(annotations.Attribute(attr, '1'))
+
+        return parsed
+
+
+    root_elem = ET.fromstring(xml_data)
+
+    frame_number = annotations.match_frame(root_elem.find('filename').text)
+
+    parsed_annotations = dict()
+    group_assignments = dict()
+    root_annotations = set()
+    for obj_elem in root_elem.iter('object'):
+        obj_id = int(obj_elem.find('id').text)
+
+        ann_items = []
+
+        attributes = []
+        attributes_elem = obj_elem.find('attributes')
+        if attributes_elem is not None and attributes_elem.text:
+            attributes = parse_attributes(attributes_elem.text)
+
+        occluded = False
+        occluded_elem = obj_elem.find('occluded')
+        if occluded_elem is not None and occluded_elem.text:
+            occluded = (occluded_elem.text == 'yes')
+
+        deleted = False
+        deleted_elem = obj_elem.find('deleted')
+        if deleted_elem is not None and deleted_elem.text:
+            deleted = bool(int(deleted_elem.text))
+
+        poly_elem = obj_elem.find('polygon')
+        segm_elem = obj_elem.find('segm')
+        type_elem = obj_elem.find('type') # the only value is 'bounding_box'
+        if poly_elem is not None:
+            points = []
+            for point_elem in poly_elem.iter('pt'):
+                x = float(point_elem.find('x').text)
+                y = float(point_elem.find('y').text)
+                points.append(x)
+                points.append(y)
+            label = obj_elem.find('name').text
+            if label and attributes:
+                label_id = annotations._get_label_id(label)
+                if label_id:
+                    attributes = [a for a in attributes
+                        if annotations._get_attribute_id(label_id, a.name)
+                    ]
+                else:
+                    attributes = []
+            else:
+                attributes = []
+
+            if type_elem is not None and type_elem.text == 'bounding_box':
+                xmin = min(points[::2])
+                xmax = max(points[::2])
+                ymin = min(points[1::2])
+                ymax = max(points[1::2])
+                ann_items.append(annotations.LabeledShape(
+                    type='rectangle',
+                    frame=frame_number,
+                    label=label,
+                    points=[xmin, ymin, xmax, ymax],
+                    occluded=occluded,
+                    attributes=attributes,
+                ))
+            else:
+                ann_items.append(annotations.LabeledShape(
+                    type='polygon',
+                    frame=frame_number,
+                    label=label,
+                    points=points,
+                    occluded=occluded,
+                    attributes=attributes,
+                ))
+        elif segm_elem is not None:
+            label = obj_elem.find('name').text
+            if label and attributes:
+                label_id = annotations._get_label_id(label)
+                if label_id:
+                    attributes = [a for a in attributes
+                        if annotations._get_attribute_id(label_id, a.name)
+                    ]
+                else:
+                    attributes = []
+            else:
+                attributes = []
+
+            mask_file = segm_elem.find('mask').text
+            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)
+
+            for polygon in polygons:
+                ann_items.append(annotations.LabeledShape(
+                    type='polygon',
+                    frame=frame_number,
+                    label=label,
+                    points=polygon,
+                    occluded=occluded,
+                    attributes=attributes,
+                ))
+
+        if not deleted:
+            parsed_annotations[obj_id] = ann_items
+
+        parts_elem = obj_elem.find('parts')
+        if parts_elem is not None:
+            children_ids = []
+            hasparts_elem = parts_elem.find('hasparts')
+            if hasparts_elem is not None and hasparts_elem.text:
+                children_ids = [int(c) for c in hasparts_elem.text.split(',')]
+
+            parent_ids = []
+            ispartof_elem = parts_elem.find('ispartof')
+            if ispartof_elem is not None and ispartof_elem.text:
+                parent_ids = [int(c) for c in ispartof_elem.text.split(',')]
+
+            if children_ids and not parent_ids and hasparts_elem.text:
+                root_annotations.add(obj_id)
+            group_assignments[obj_id] = [None, children_ids]
+
+    # assign a single group to the whole subtree
+    current_group_id = 0
+    annotations_to_visit = list(root_annotations)
+    while annotations_to_visit:
+        ann_id = annotations_to_visit.pop()
+        ann_assignment = group_assignments[ann_id]
+        group_id, children_ids = ann_assignment
+        if group_id:
+            continue
+
+        if ann_id in root_annotations:
+            current_group_id += 1 # start a new group
+
+        group_id = current_group_id
+        ann_assignment[0] = group_id
+
+        # continue with children
+        annotations_to_visit.extend(children_ids)
+
+    assert current_group_id == len(root_annotations)
+
+    for ann_id, ann_items in parsed_annotations.items():
+        group_id = 0
+        if ann_id in group_assignments:
+            ann_assignment = group_assignments[ann_id]
+            group_id = ann_assignment[0]
+
+        for ann_item in ann_items:
+            if group_id:
+                ann_item = ann_item._replace(group=group_id)
+            if isinstance(ann_item, annotations.LabeledShape):
+                annotations.add_shape(ann_item)
+            else:
+                raise NotImplementedError()
+
+def load(file_object, annotations):
+    from zipfile import ZipFile
+
+    with ZipFile(file_object, 'r') as input_zip:
+        for filename in input_zip.namelist():
+            if not filename.endswith('.xml'):
+                continue
+
+            xml_data = input_zip.read(filename)
+            parse_xml_annotations(xml_data, annotations, input_zip)

cvat/apps/annotation/settings.py

@@ -12,4 +12,5 @@
     os.path.join(path_prefix, 'coco.py'),
     os.path.join(path_prefix, 'mask.py'),
     os.path.join(path_prefix, 'tfrecord.py'),
+    os.path.join(path_prefix, 'labelme.py'),
 )