update release note and, changelog, and readme

Author: yunchu

CHANGELOG.md

@@ -2,18 +2,18 @@
 
 All notable changes to this project will be documented in this file.
 
-## \[v1.5.0 - unreleased\]
+## \[v1.5.0\]
 
 ### New features
 
-- Enable configurable confidence threshold for otx eval and export(<https://github.com/openvinotoolkit/training_extensions/pull/2388>)
+- Enable configurable confidence threshold for otx eval and export (<https://github.com/openvinotoolkit/training_extensions/pull/2388>)
 - Add YOLOX variants as new object detector models (<https://github.com/openvinotoolkit/training_extensions/pull/2402>)
-- Enable FeatureVectorHook to support action tasks(<https://github.com/openvinotoolkit/training_extensions/pull/2408>)
+- Enable FeatureVectorHook to support action tasks (<https://github.com/openvinotoolkit/training_extensions/pull/2408>)
 - Add ONNX metadata to detection, instance segmantation, and segmentation models (<https://github.com/openvinotoolkit/training_extensions/pull/2418>)
-- Add a new feature to configure input size(<https://github.com/openvinotoolkit/training_extensions/pull/2420>)
+- Add a new feature to configure input size (<https://github.com/openvinotoolkit/training_extensions/pull/2420>)
 - Introduce the OTXSampler and AdaptiveRepeatDataHook to achieve faster training at the small data regime (<https://github.com/openvinotoolkit/training_extensions/pull/2428>)
-- Add a new object detector Lite-DINO(<https://github.com/openvinotoolkit/training_extensions/pull/2457>)
-- Add Semi-SL Mean Teacher algorithm for Instance Segmentation task(<https://github.com/openvinotoolkit/training_extensions/pull/2444>)
+- Add a new object detector Lite-DINO (<https://github.com/openvinotoolkit/training_extensions/pull/2457>)
+- Add Semi-SL Mean Teacher algorithm for Instance Segmentation task (<https://github.com/openvinotoolkit/training_extensions/pull/2444>)
 - Official supports for YOLOX-X, YOLOX-L, YOLOX-S, ResNeXt101-ATSS (<https://github.com/openvinotoolkit/training_extensions/pull/2485>)
 - Add new argument to track resource usage in train command (<https://github.com/openvinotoolkit/training_extensions/pull/2500>)
 - Add Self-SL for semantic segmentation of SegNext families (<https://github.com/openvinotoolkit/training_extensions/pull/2215>)

README.md

@@ -55,7 +55,7 @@ OpenVINO™ Training Extensions supports the following computer vision tasks:
 - **Action recognition** including action classification and detection
 - **Anomaly recognition** tasks including anomaly classification, detection and segmentation
 
-OpenVINO™ Training Extensions supports the [following learning methods](https://openvinotoolkit.github.io/training_extensions/1.5.0/guide/explanation/algorithms/index.html):
+OpenVINO™ Training Extensions supports the [following learning methods](https://openvinotoolkit.github.io/training_extensions/stable/guide/explanation/algorithms/index.html):
 
 - **Supervised**, incremental training, which includes class incremental scenario and contrastive learning for classification and semantic segmentation tasks
 - **Semi-supervised learning**
@@ -97,16 +97,20 @@ You can find more details with examples in the [CLI command intro](https://openv
 
 ## Updates
 
-### v1.4.0 (3Q23)
-
-- Support encrypted dataset training (<https://github.com/openvinotoolkit/training_extensions/pull/2209>)
-- Add custom max iou assigner to prevent CPU OOM when large annotations are used (<https://github.com/openvinotoolkit/training_extensions/pull/2228>)
-- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional (<https://github.com/openvinotoolkit/training_extensions/pull/2195>)
-- Add per-class XAI saliency maps for Mask R-CNN model (<https://github.com/openvinotoolkit/training_extensions/pull/2227>)
-- Add new object detector Deformable DETR (<https://github.com/openvinotoolkit/training_extensions/pull/2249>)
-- Add new object detector DINO (<https://github.com/openvinotoolkit/training_extensions/pull/2266>)
-- Add new visual prompting task (<https://github.com/openvinotoolkit/training_extensions/pull/2203>, <https://github.com/openvinotoolkit/training_extensions/pull/2274>, <https://github.com/openvinotoolkit/training_extensions/pull/2311>, <https://github.com/openvinotoolkit/training_extensions/pull/2354>, <https://github.com/openvinotoolkit/training_extensions/pull/2318>)
-- Add new object detector ResNeXt101-ATSS (<https://github.com/openvinotoolkit/training_extensions/pull/2309>)
+### v1.5.0 (4Q23)
+
+- Enable configurable confidence threshold for otx eval and export (<https://github.com/openvinotoolkit/training_extensions/pull/2388>)
+- Add YOLOX variants as new object detector models (<https://github.com/openvinotoolkit/training_extensions/pull/2402>)
+- Enable FeatureVectorHook to support action tasks (<https://github.com/openvinotoolkit/training_extensions/pull/2408>)
+- Add ONNX metadata to detection, instance segmantation, and segmentation models (<https://github.com/openvinotoolkit/training_extensions/pull/2418>)
+- Add a new feature to configure input size (<https://github.com/openvinotoolkit/training_extensions/pull/2420>)
+- Introduce the OTXSampler and AdaptiveRepeatDataHook to achieve faster training at the small data regime (<https://github.com/openvinotoolkit/training_extensions/pull/2428>)
+- Add a new object detector Lite-DINO (<https://github.com/openvinotoolkit/training_extensions/pull/2457>)
+- Add Semi-SL Mean Teacher algorithm for Instance Segmentation task (<https://github.com/openvinotoolkit/training_extensions/pull/2444>)
+- Official supports for YOLOX-X, YOLOX-L, YOLOX-S, ResNeXt101-ATSS (<https://github.com/openvinotoolkit/training_extensions/pull/2485>)
+- Add new argument to track resource usage in train command (<https://github.com/openvinotoolkit/training_extensions/pull/2500>)
+- Add Self-SL for semantic segmentation of SegNext families (<https://github.com/openvinotoolkit/training_extensions/pull/2215>)
+- Adapt input size automatically based on dataset statistics (<https://github.com/openvinotoolkit/training_extensions/pull/2499>)
 
 ### Release History
 

docs/source/guide/release_notes/index.rst

@@ -4,6 +4,28 @@ Releases
 .. toctree::
    :maxdepth: 1
 
+v1.5.0 (4Q23)
+-------------
+
+- Enable configurable confidence threshold for otx eval and export
+- Add YOLOX variants as new object detector models
+- Enable FeatureVectorHook to support action tasks
+- Add ONNX metadata to detection, instance segmantation, and segmentation models
+- Add a new feature to configure input size
+- Introduce the OTXSampler and AdaptiveRepeatDataHook to achieve faster training at the small data regime
+- Add a new object detector Lite-DINO
+- Add Semi-SL Mean Teacher algorithm for Instance Segmentation task
+- Official supports for YOLOX-X, YOLOX-L, YOLOX-S, ResNeXt101-ATSS
+- Add new argument to track resource usage in train command
+- Add Self-SL for semantic segmentation of SegNext families
+- Adapt input size automatically based on dataset statistics
+- Refine input data in-memory caching
+- Adapt timeout value of initialization for distributed training
+- Optimize data loading by merging load & resize operations w/ caching support for cls/det/iseg/sseg
+- Support torch==2.0.1
+- Set "Auto" as default input size mode
+
+
 v1.4.4 (4Q23)
 -------------