Update develop from release-0.6.0 branch (#1266)

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Nikita Manovich 6 years ago committed by GitHub
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commit b3991d67d7
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@ -4,7 +4,26 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [1.0.0.alpha] - 2020-02-XX
## [1.0.0-beta] - Unreleased
### Added
-
### Changed
-
### Deprecated
-
### Removed
-
### Fixed
-
### Security
-
## [0.6.0] - 2020-03-15
### Added
- Server only support for projects. Extend REST API v1 (/api/v1/projects*)
- Ability to get basic information about users without admin permissions ([#750](https://github.com/opencv/cvat/issues/750))
@ -28,12 +47,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- Yolov3 interpretation script fix and changes to mapping.json
- YOLO format support ([#1151](https://github.com/opencv/cvat/pull/1151))
### Deprecated
-
### Removed
-
### Fixed
- Exception in Git plugin [#826](https://github.com/opencv/cvat/issues/826)
- Label ids in TFrecord format now start from 1 [#866](https://github.com/opencv/cvat/issues/866)
@ -42,8 +55,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- Output labels for VOC format can be specified with Datumaro [#942](https://github.com/opencv/cvat/issues/942)
- Annotations can be filtered before dumping with Datumaro [#994](https://github.com/opencv/cvat/issues/994)
### Security
-
## [0.5.2] - 2019-12-15
### Fixed
- Frozen version of scikit-image==0.15 in requirements.txt because next releases don't support Python 3.5
## [0.5.1] - 2019-10-17
### Added

@ -1,10 +1,9 @@
# Copyright (C) 2018 Intel Corporation
# Copyright (C) 2018-2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
from cvat.utils.version import get_version
VERSION = (0, 6, 0, 'alpha', 0)
VERSION = (1, 0, 0, 'alpha', 0)
__version__ = get_version(VERSION)

@ -322,7 +322,7 @@ class Annotation:
annotations = {}
data_manager = DataManager(self._annotation_ir)
for shape in data_manager.to_shapes(self._db_task.size):
for shape in sorted(data_manager.to_shapes(self._db_task.size), key=lambda s: s.get("z_order", 0)):
_get_frame(annotations, shape).labeled_shapes.append(self._export_labeled_shape(shape))
for tag in self._annotation_ir.tags:

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