From ae2c5d759540718902d1d98ae465b1c0479fbebf Mon Sep 17 00:00:00 2001 From: Yunchu Lee Date: Thu, 20 Jul 2023 16:26:46 +0900 Subject: [PATCH] update changelog & release note --- CHANGELOG.md | 20 ++++++++------------ docs/source/guide/release_notes/index.rst | 13 +++++++++++++ 2 files changed, 21 insertions(+), 12 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index f775d1707e7..dfba318aea6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,26 +8,22 @@ All notable changes to this project will be documented in this file. - Support encrypted dataset training () - Add custom max iou assigner to prevent CPU OOM when large annotations are used () -- 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) +- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional () +- Add per-class XAI saliency maps for Mask R-CNN model () - Add new object detector Deformable DETR () -- Add new object detector DINO() -- Add new visual prompting task: train/eval (https://github.com/openvinotoolkit/training_extensions/pull/2203) -- Add new visual prompting task: export (https://github.com/openvinotoolkit/training_extensions/pull/2274) -- Add new visual prompting task: deploy (https://github.com/openvinotoolkit/training_extensions/pull/2311) -- Add new visual prompting task: documentation (https://github.com/openvinotoolkit/training_extensions/pull/2354) -- Add new visual prompting task: optimize (PTQ) (https://github.com/openvinotoolkit/training_extensions/pull/2318) +- Add new object detector DINO () +- Add new visual prompting task (, , , , ) - Add new object detector ResNeXt101-ATSS () ### Enhancements - Introduce channel_last parameter to improve the performance () -- Decrease a time for making a workspace () +- 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 lerning via class prototypes (https://github.com/openvinotoolkit/training_extensions/pull/2156) -- Self-SL for classification now can recieve just folder with any images to start contrastive pretraining (https://github.com/openvinotoolkit/training_extensions/pull/2219) +- 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 (https://github.com/openvinotoolkit/training_extensions/pull/2240) +- Improve XAI saliency map generation for tiling detection and tiling instance segmentation () ### Bug fixes diff --git a/docs/source/guide/release_notes/index.rst b/docs/source/guide/release_notes/index.rst index 616d98a1837..046b72d42f0 100644 --- a/docs/source/guide/release_notes/index.rst +++ b/docs/source/guide/release_notes/index.rst @@ -1,6 +1,19 @@ Releases ======== +*************** +[v1.40] (3Q23) +*************** + +- Support encrypted dataset training +- Add custom max iou assigner to prevent CPU OOM when large annotations are used +- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional +- Add per-class XAI saliency maps for Mask R-CNN model +- Add new object detector Deformable DETR +- Add new object detector DINO +- Add new visual prompting task +- Add new object detector ResNeXt101-ATSS + *************** [v1.3.0] (2Q23) ***************