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Merged
dshabin merged 11 commits into from
Nov 15, 2021
Merged

added functionality to aggregate video annotations #304

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4d4800a
Update version.py
dshabin Nov 2, 2021
fc56ed3
Update version.py
dshabin Nov 2, 2021
f88bbe7
Add mixp
dshabin Nov 3, 2021
991dd6d
import mixp
dshabin Nov 8, 2021
30838c7
Update version.py
dshabin Nov 2, 2021
60da2f2
Update config.py
dshabin Nov 2, 2021
dd924ea
Change syntax in docs to match Function in API
xalgorithm Nov 4, 2021
25b7be1
Update config.py
VaghinakDev Nov 9, 2021
84fc8ad
Update version.py
VaghinakDev Nov 9, 2021
cb39e52
added functionality to aggregate video annotations
Nov 12, 2021
8bd6193
Merge branch 'friday' into df_aggregation
Nov 15, 2021
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7 changes: 1 addition & 6 deletions docs/source/superannotate.sdk.rst
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Expand Up @@ -323,18 +323,13 @@ ________________________
.. _ref_aggregate_annotations_as_df:
.. autofunction:: superannotate.aggregate_annotations_as_df
.. autofunction:: superannotate.df_to_annotations
.. _ref_filter_annotation_instances:
.. autofunction:: superannotate.filter_annotation_instances
.. autofunction:: superannotate.filter_images_by_comments
.. autofunction:: superannotate.filter_images_by_tags

----------

Aggregating class/attribute distribution from annotations
Aggregating class distribution from annotations
_____________________________________________________________

.. autofunction:: superannotate.class_distribution
.. autofunction:: superannotate.attribute_distribution

----------

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21 changes: 0 additions & 21 deletions docs/source/tutorial.sdk.rst
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Expand Up @@ -453,16 +453,6 @@ Example of created DataFrame:
Each row represents annotation information. One full annotation with multiple
attribute groups can be grouped under :code:`instanceId` field.

A helper function :ref:`filter_annotation_instances <ref_filter_annotation_instances>` is available to filter annotation instances by their class, attribute, type or error fields from the DataFrame. E.g., to get annotations that have annotation class :code:`Human` and attribute :code:`"height" : "tall"` that are **not** of type :code:`polygon`:

.. code-block:: python

filtered_df = sa.filter_annotation_instances(df, include=[{"className" : "Human",
"attributes" : [{"groupName" : "height",
"name" : "tall"}]
}],
exclude=[{"type" : "polygon"}])

To transform back pandas DataFrame annotations to SuperAnnotate format annotation:

.. code-block:: python
Expand Down Expand Up @@ -490,17 +480,6 @@ Aggregated distribution is returned as pandas dataframe with columns className a

.. image:: class_distribution.png


Similarly aggregation of class attributes across multiple projects can be obtained with

.. code-block:: python

df = sa.attribute_distribution("<path_to_export_folder>", [project_names], visualize = True)

Here pandas DataFrame with columns identifying attribute and corresponding instance count is returned. Within visualized histogram attributes of the same class are grouped by color and sorted accordingly.

.. image:: attribute_distribution.png

----------


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13 changes: 1 addition & 12 deletions src/superannotate/__init__.py
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Expand Up @@ -5,7 +5,6 @@
import requests
import superannotate.lib.core as constances
from packaging.version import parse
from superannotate.lib.app.analytics.class_analytics import attribute_distribution
from superannotate.lib.app.analytics.class_analytics import class_distribution
from superannotate.lib.app.annotation_helpers import add_annotation_bbox_to_json
from superannotate.lib.app.annotation_helpers import add_annotation_comment_to_json
Expand All @@ -23,13 +22,7 @@
from superannotate.lib.app.input_converters.conversion import export_annotation
from superannotate.lib.app.input_converters.conversion import import_annotation
from superannotate.lib.app.input_converters.df_converter import df_to_annotations
from superannotate.lib.app.input_converters.df_converter import (
filter_annotation_instances,
)
from superannotate.lib.app.input_converters.df_converter import (
filter_images_by_comments,
)
from superannotate.lib.app.input_converters.df_converter import filter_images_by_tags

from superannotate.lib.app.input_converters.dicom_converter import dicom_to_rgb_sequence
from superannotate.lib.app.interface.sdk_interface import add_annotation_bbox_to_image
from superannotate.lib.app.interface.sdk_interface import (
Expand Down Expand Up @@ -175,7 +168,6 @@
"init",
"set_auth_token",
# analytics
"attribute_distribution",
"class_distribution",
"aggregate_annotations_as_df",
"get_exports",
Expand All @@ -189,9 +181,6 @@
"import_annotation",
"export_annotation",
"convert_project_type",
"filter_images_by_comments",
"filter_images_by_tags",
"filter_annotation_instances",
# helpers
"add_annotation_bbox_to_json",
"add_annotation_comment_to_json",
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