update readme

README.rst

@@ -33,6 +33,7 @@ You can find some research projects that are built on top of Torchreid `here <ht
 
 What's new
 ------------
+- [Aug 2021] We have released the ImageNet-pretrained models of ``osnet_ain_x0_75``, ``osnet_ain_x0_5`` and ``osnet_ain_x0_25``. The pretraining setup follows `pycls <https://github.com/facebookresearch/pycls/blob/master/configs/archive/imagenet/resnet/R-50-1x64d_step_8gpu.yaml>`_.
 - [Apr 2021] We have updated the appendix in the `TPAMI version of OSNet <https://arxiv.org/abs/1910.06827v5>`_ to include results in the multi-source domain generalization setting. The trained models can be found in the `Model Zoo <https://kaiyangzhou.github.io/deep-person-reid/MODEL_ZOO.html>`_.
 - [Apr 2021] We have added a script to automate the process of calculating average results over multiple splits. For more details please see ``tools/parse_test_res.py``.
 - [Apr 2021] ``v1.4.0``: We added the person search dataset, `CUHK-SYSU <http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html>`_.  Please see the `documentation <https://kaiyangzhou.github.io/deep-person-reid/>`_ regarding how to download the dataset (it contains cropped person images).

docs/MODEL_ZOO.md

@@ -22,6 +22,9 @@
 | osnet_x0_25 | [model](https://drive.google.com/file/d/1rb8UN5ZzPKRc_xvtHlyDh-cSz88YX9hs/view?usp=sharing) |
 | osnet_ibn_x1_0 | [model](https://drive.google.com/file/d/1sr90V6irlYYDd4_4ISU2iruoRG8J__6l/view?usp=sharing) |
 | osnet_ain_x1_0 | [model](https://drive.google.com/file/d/1-CaioD9NaqbHK_kzSMW8VE4_3KcsRjEo/view?usp=sharing) |
+| osnet_ain_x0_75 | [model](https://drive.google.com/file/d/1apy0hpsMypqstfencdH-jKIUEFOW4xoM/view?usp=sharing) |
+| osnet_ain_x0_5 | [model](https://drive.google.com/file/d/1KusKvEYyKGDTUBVRxRiz55G31wkihB6l/view?usp=sharing) |
+| osnet_ain_x0_25 | [model](https://drive.google.com/file/d/1SxQt2AvmEcgWNhaRb2xC4rP6ZwVDP0Wt/view?usp=sharing) |
 
 
 ## Same-domain ReID