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KaiyangZhou 2019-11-08 14:19:00 +00:00
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README.rst
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@ -39,7 +39,7 @@ You can find some research projects that are built on top of Torchreid `here <ht
Installation
---------------
Make sure your `conda <https://www.anaconda.com/distribution/>`_ is installed.
Make sure `conda <https://www.anaconda.com/distribution/>`_ is installed.
.. code-block:: bash
@ -140,7 +140,7 @@ A unified interface
-----------------------
In "deep-person-reid/scripts/", we provide a unified interface to train and test a model. See "scripts/main.py" and "scripts/default_config.py" for more details. "configs/" contains some predefined configs which you can use as a starting point.
Below we provide examples to train and test `OSNet (Zhou et al. ICCV'19) <https://arxiv.org/abs/1905.00953>`_. Assume :code:`PATH_TO_DATA` is the directory containing reid datasets.
Below we provide an example to train and test `OSNet (Zhou et al. ICCV'19) <https://arxiv.org/abs/1905.00953>`_. Assume :code:`PATH_TO_DATA` is the directory containing reid datasets.
Conventional setting
^^^^^^^^^^^^^^^^^^^^^
@ -267,7 +267,7 @@ Losses
Citation
---------
If you find this code useful to your research, please cite the following publications.
If you find this code useful to your research, please cite the following papers.
.. code-block:: bash

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Here are some research projects built on [Torchreid](https://arxiv.org/abs/1910.10093). You are welcome to submit a PR to add your project here.
Here are some research projects built on [Torchreid](https://arxiv.org/abs/1910.10093).
+ [Learning Generalisable Omni-Scale Representations for Person Re-Identification](OSNet_AIN)