Update for 1.4.2 (#2514)

update for release 1.4.2

CHANGELOG.md

@@ -6,7 +6,8 @@ All notable changes to this project will be documented in this file.
 
 ### Enhancements
 
-- Bump datumaro version to 1.5.0rc0 (<https://github.com/openvinotoolkit/training_extensions/pull/2470>)
+- Upgrade nncf version to 2.6.0 (<https://github.com/openvinotoolkit/training_extensions/pull/2459>)
+- Bump datumaro version to 1.5.0 (<https://github.com/openvinotoolkit/training_extensions/pull/2470>, <https://github.com/openvinotoolkit/training_extensions/pull/2502>)
 - Set tox version constraint (<https://github.com/openvinotoolkit/training_extensions/pull/2472>)
 - Add model category attributes to model template (<https://github.com/openvinotoolkit/training_extensions/pull/2439>)
 

docs/source/guide/release_notes/index.rst

@@ -1,9 +1,26 @@
 Releases
-========
+########
 
-***************
-[v1.4.0] (3Q23)
-***************
+.. toctree::
+   :maxdepth: 1
+
+v1.4.2 (4Q23)
+-------------
+
+- Upgrade nncf version to 2.6.0
+- Bump datumaro version to 1.5.0
+- Set tox version constraint
+- Add model category attributes to model template
+- Minor bug fixes
+
+v1.4.1 (3Q23)
+-------------
+
+- Update the README file in exportable code
+- Minor bug fixes
+
+v1.4.0 (3Q23)
+-------------
 
 - Support encrypted dataset training
 - Add custom max iou assigner to prevent CPU OOM when large annotations are used
@@ -13,10 +30,23 @@ Releases
 - Add new object detector DINO
 - Add new visual prompting task
 - Add new object detector ResNeXt101-ATSS
+- Introduce channel_last parameter to improve the performance
+- Decrease time for making a workspace
+- Set persistent_workers and pin_memory as True in detection task
+- New algorithm for Semi-SL semantic segmentation based on metric learning via class prototypes
+- Self-SL for classification now can recieve just folder with any images to start contrastive pretraining
+- Update OpenVINO version to 2023.0, and NNCF verion to 2.5
+- Improve XAI saliency map generation for tiling detection and tiling instance segmentation
+- Remove CenterCrop from Classification test pipeline and editing missing docs link
+- Switch to PTQ for sseg
+- Minor bug fixes
 
-***************
-[v1.3.0] (2Q23)
-***************
+v1.3.1 (2Q23)
+-------------
+- Minor bug fixes
+
+v1.3.0 (2Q23)
+-------------
 
 - Support direct annotation input for COCO format
 - Action task supports multi GPU training
@@ -25,21 +55,69 @@ Releases
 - Support auto adapting batch size
 - Support auto adapting num_workers
 - Support noisy label detection for detection tasks
+- Make semantic segmentation OpenVINO models compatible with ModelAPI
+- Support label hierarchy through LabelTree in LabelSchema for classification task
+- Enhance exportable code file structure, video inference and default value for demo
+- Speedup OpenVINO inference in image classificaiton, semantic segmentation, object detection and instance segmentation tasks
+- Refactoring of ONNX export functionality
+- Minor bug fixes
+
+v1.2.4 (3Q23)
+-------------
+- Per-class saliency maps for M-RCNN
+- Disable semantic segmentation soft prediction processing
+- Update export and nncf hyperparameters
+- Minor bug fixes
+
+v1.2.3 (2Q23)
+-------------
+
+- Improve warning message for tiling configurable parameter
+- Minor bug fixes
+
+v1.2.1 (2Q23)
+-------------
 
-*************
-v1.2.0 (1Q23)
-*************
+- Upgrade mmdeploy==0.14.0 from official PyPI
+- Integrate new ignored loss in semantic segmentation
+- Optimize YOLOX data pipeline
+- Tiling Spatial Concatenation for OpenVINO IR
+- Optimize counting train & inference speed and memory consumption
+- Minor bug fixes
+
+v1.2.0 (2Q23)
+-------------
 
 - Add generating feature cli_report.log in output for otx training
 - Support multiple python versions up to 3.10
 - Support export of onnx models
 - Add option to save images after inference in OTX CLI demo together with demo in exportable code
 - Support storage cache in Apache Arrow using Datumaro for cls, det, seg tasks
 - Add noisy label detection for multi-class classification task
+- Clean up and refactor the output of the OTX CLI
+- Enhance DetCon logic and SupCon for semantic segmentation
+- Detection task refactoring
+- Classification task refactoring
+- Extend OTX explain CLI
+- Segmentation task refactoring
+- Action task refactoring
+- Optimize data preprocessing time and enhance overall performance in semantic segmentation
+- Support automatic batch size decrease when there is no enough GPU memory
+- Minor bug fixes
+
+v1.1.2 (2Q23)
+-------------
+
+- Minor bug fixes
+
+
+v1.1.1 (1Q23)
+-------------
+
+- Minor bug fixes
 
-*************
 v1.1.0 (1Q23)
-*************
+-------------
 
 - Add FP16 IR export support
 - Add in-memory caching in dataloader
@@ -50,10 +128,24 @@ v1.1.0 (1Q23)
 - Add embedding of inference configuration to IR for classification
 - Enable VOC dataset in OTX
 - Add mmcls.VisionTransformer backbone support
+- Parametrize saliency maps dumping in export
+- Bring mmdeploy to action recognition model export & Test optimization of action tasks
+- Update backbone lists
+- Add explanation for XAI & minor doc fixes
+- Refactor phase#1: MPA modules
+
+
+v1.0.1 (1Q23)
+-------------
+
+- Refine documents by proof review
+- Separate installation for each tasks
+- Improve POT efficiency by setting stat_requests_number parameter to 1
+- Minor bug fixes
+
 
-*************
 v1.0.0 (1Q23)
-*************
+-------------
 
 - Installation through PyPI
   - Package will be renamed as OpenVINO™ Training Extensions

src/otx/__init__.py

@@ -3,5 +3,5 @@
 # Copyright (C) 2021-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-__version__ = "1.4.2rc5"
+__version__ = "1.4.2"
 # NOTE: Sync w/ src/otx/api/usecases/exportable_code/demo/requirements.txt on release

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

@@ -1,4 +1,4 @@
 openvino==2023.0
 openvino-model-api==0.1.3
-otx==1.4.2rc5
+otx==1.4.2
 numpy>=1.21.0,<=1.23.5  # np.bool was removed in 1.24.0 which was used in openvino runtime