Release 1.1.0 (#1933)

* Release OTX 1.1.0

* Update known issues in CHANGELOG.md

* Fix PR / issue # to links

* Fix pre-commit

Author: Songki Choi

CHANGELOG.md

@@ -6,27 +6,36 @@ All notable changes to this project will be documented in this file.
 
 ### New features
 
-- Add FP16 IR export support (#1683)
-- Add in-memory caching in dataloader (#1694)
-- Add MoViNet template for action classification (#1742)
-- Add Semi-SL multilabel classification algorithm (#1805)
-- Integrate multi-gpu training for semi-supervised learning and self-supervised learning (#1534)
-- Add train-type parameter to otx train (#1874)
-- Add embedding of inference configuration to IR for classification (#1842)
-- Enable VOC dataset in OTX (#1862)
+- Add FP16 IR export support (<https://github.com/openvinotoolkit/training_extensions/pull/1683>)
+- Add in-memory caching in dataloader (<https://github.com/openvinotoolkit/training_extensions/pull/1694>)
+- Add MoViNet template for action classification (<https://github.com/openvinotoolkit/training_extensions/pull/1742>)
+- Add Semi-SL multilabel classification algorithm (<https://github.com/openvinotoolkit/training_extensions/pull/1805>)
+- Integrate multi-gpu training for semi-supervised learning and self-supervised learning (<https://github.com/openvinotoolkit/training_extensions/pull/1534>)
+- Add train-type parameter to otx train (<https://github.com/openvinotoolkit/training_extensions/pull/1874>)
+- Add embedding of inference configuration to IR for classification (<https://github.com/openvinotoolkit/training_extensions/pull/1842>)
+- Enable VOC dataset in OTX (<https://github.com/openvinotoolkit/training_extensions/pull/1862>)
+- Add mmcls.VisionTransformer backbone support (<https://github.com/openvinotoolkit/training_extensions/pull/1908>)
 
 ### Enhancements
 
-- Parametrize saliency maps dumping in export (#1888)
-- Bring mmdeploy to action recognition model export & Test optimization of action tasks (#1848)
-- Update backbone lists (#1835)
+- Parametrize saliency maps dumping in export (<https://github.com/openvinotoolkit/training_extensions/pull/1888>)
+- Bring mmdeploy to action recognition model export & Test optimization of action tasks (<https://github.com/openvinotoolkit/training_extensions/pull/1848>)
+- Update backbone lists (<https://github.com/openvinotoolkit/training_extensions/pull/1835>)
+- Add explanation for XAI & minor doc fixes (<https://github.com/openvinotoolkit/training_extensions/pull/1923>)
+- Refactor phase#1: MPA modules
 
 ### Bug fixes
 
-- Handle unpickable update_progress_callback (#1892)
-- Dataset Adapter: Avoid duplicated annotation and permit empty image (#1873)
-- Arrange scale between bbox preds and bbox targets in ATSS (#1880)
-- Fix label mismatch of evaluation and validation with large dataset in semantic segmentation (#1851)
+- Handle unpickable update_progress_callback (<https://github.com/openvinotoolkit/training_extensions/pull/1892>)
+- Dataset Adapter: Avoid duplicated annotation and permit empty image (<https://github.com/openvinotoolkit/training_extensions/pull/1873>)
+- Arrange scale between bbox preds and bbox targets in ATSS (<https://github.com/openvinotoolkit/training_extensions/pull/1880>)
+- Fix label mismatch of evaluation and validation with large dataset in semantic segmentation (<https://github.com/openvinotoolkit/training_extensions/pull/1851>)
+- Fix packaging errors including cython module build / import issues (<https://github.com/openvinotoolkit/training_extensions/pull/1936>)
+
+### Known issues
+
+- OpenVINO(==2022.3) IR inference is not working well on 2-stage models (e.g. Mask-RCNN) exported from torch==1.13.1
+  (working well up to torch==1.12.1) (<https://github.com/openvinotoolkit/training_extensions/issues/1906>)
 
 ## \[v1.0.1\]
 

README.md

@@ -89,19 +89,19 @@ You can find more details with examples in the [CLI command intro](https://openv
 
 ## Updates
 
-### v1.0.0 (1Q23)
-
-- Package Installation via PyPI
-  - OpenVINO™ Training Extensions installation will be supported via PyPI
-- CLI update
-  - Update `find` command to find configurations of tasks/algorithms
-  - Introduce `build` command to customize task or model configurations
-  - Automatic algorihm selection for the `train` command using the given input dataset
-- Adaptation of [Datumaro](https://github.com/openvinotoolkit/datumaro) component as a dataset interface
-- Integrate hyper-parameter optimizations
-- Support action recognition task
-
-### v1.1+ (2Q23)
+### v1.1.0 (1Q23)
+
+- Add FP16 IR export support (<https://github.com/openvinotoolkit/training_extensions/pull/1683>)
+- Add in-memory caching in dataloader (<https://github.com/openvinotoolkit/training_extensions/pull/1694>)
+- Add MoViNet template for action classification (<https://github.com/openvinotoolkit/training_extensions/pull/1742>)
+- Add Semi-SL multilabel classification algorithm (<https://github.com/openvinotoolkit/training_extensions/pull/1805>)
+- Integrate multi-gpu training for semi-supervised learning and self-supervised learning (<https://github.com/openvinotoolkit/training_extensions/pull/1534>)
+- Add train-type parameter to otx train (<https://github.com/openvinotoolkit/training_extensions/pull/1874>)
+- Add embedding of inference configuration to IR for classification (<https://github.com/openvinotoolkit/training_extensions/pull/1842>)
+- Enable VOC dataset in OTX (<https://github.com/openvinotoolkit/training_extensions/pull/1862>)
+- Add mmcls.VisionTransformer backbone support (<https://github.com/openvinotoolkit/training_extensions/pull/1908>)
+
+### v1.2+ (2Q23)
 
 - In planning
 

otx/__init__.py

@@ -3,7 +3,7 @@
 # Copyright (C) 2021-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-__version__ = "1.1.0rc1"
+__version__ = "1.1.0"
 # NOTE: Sync w/ otx/api/usecases/exportable_code/demo/requirements.txt on release
 
 MMCLS_AVAILABLE = True

otx/api/usecases/exportable_code/demo/requirements.txt

@@ -1,3 +1,3 @@
 openmodelzoo-modelapi==2022.3.0
-otx @ git+https://github.com/openvinotoolkit/training_extensions/@128154fd7d58d6ef996c46b58cb8432f7110e0ca#egg=otx
+otx==1.1.0
 numpy>=1.21.0,<=1.23.5  # np.bool was removed in 1.24.0 which was used in openvino runtime