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Update for 2.2.0rc1 #3956

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Sep 13, 2024
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16 changes: 13 additions & 3 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,15 +43,25 @@ All notable changes to this project will be documented in this file.
(<https://github.com/openvinotoolkit/training_extensions/pull/3769>)
- Refactoring `ConvModule` by removing `conv_cfg`, `norm_cfg`, and `act_cfg`
(<https://github.com/openvinotoolkit/training_extensions/pull/3783>, <https://github.com/openvinotoolkit/training_extensions/pull/3816>, <https://github.com/openvinotoolkit/training_extensions/pull/3809>)
- Support ImageFromBytes
(<https://github.com/openvinotoolkit/training_extensions/pull/3948>)
- enable model export
(<https://github.com/openvinotoolkit/training_extensions/pull/3952>)
- Move templates from OTX1.X to OTX2.X
(<https://github.com/openvinotoolkit/training_extensions/pull/3951>)

### Bug fixes

- Fix Combined Dataloader & unlabeled warmup loss in Semi-SL
(https://github.com/openvinotoolkit/training_extensions/pull/3723)
(<https://github.com/openvinotoolkit/training_extensions/pull/3723>)
- Revert #3579 to fix issues with replacing coco_instance with a different format in some dataset
(https://github.com/openvinotoolkit/training_extensions/pull/3753)
(<https://github.com/openvinotoolkit/training_extensions/pull/3753>)
- Add num_devices in Engine for multi-gpu training
(https://github.com/openvinotoolkit/training_extensions/pull/3778)
(<https://github.com/openvinotoolkit/training_extensions/pull/3778>)
- Add missing tile recipes and various tile recipe changes
(<https://github.com/openvinotoolkit/training_extensions/pull/3942>)
- Change categories mapping logic
(<https://github.com/openvinotoolkit/training_extensions/pull/3946>)

## \[v2.1.0\]

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5 changes: 5 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -190,12 +190,17 @@ In addition to the examples above, please refer to the documentation for tutoria
- Enable to use input_size at transforms in recipe
- Enable to use polygon and bitmap mask as prompt inputs for zero-shot learning
- Refactoring `ConvModule` by removing `conv_cfg`, `norm_cfg`, and `act_cfg`
- Support ImageFromBytes
- enable model export
- Move templates from OTX1.X to OTX2.X

### Bug fixes

- Fix Combined Dataloader & unlabeled warmup loss in Semi-SL
- Revert #3579 to fix issues with replacing coco_instance with a different format in some dataset
- Add num_devices in Engine for multi-gpu training
- Add missing tile recipes and various tile recipe changes
- Change categories mapping logic

### Known issues

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6 changes: 5 additions & 1 deletion docs/source/guide/release_notes/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -31,14 +31,18 @@ Enhancements
- Enable to use input_size at transforms in recipe
- Enable to use polygon and bitmap mask as prompt inputs for zero-shot learning
- Refactoring `ConvModule` by removing `conv_cfg`, `norm_cfg`, and `act_cfg`
- Support ImageFromBytes
- enable model export
- Move templates from OTX1.X to OTX2.X

Bug fixes
^^^^^^^^^

- Fix Combined Dataloader & unlabeled warmup loss in Semi-SL
- Revert #3579 to fix issues with replacing coco_instance with a different format in some dataset
- Add num_devices in Engine for multi-gpu training

- Add missing tile recipes and various tile recipe changes
- Change categories mapping logic

v2.1.0 (2024.07)
----------------
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2 changes: 1 addition & 1 deletion src/otx/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

__version__ = "2.2.0rc0"
__version__ = "2.2.0rc1"

import os
from pathlib import Path
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