.. _version:

发行版本介绍
=======================
发行版本参数 ``version`` 的使用方式如下所示：

.. code-block:: python

    from spikezoo.pipeline import Pipeline, PipelineConfig
    import spikezoo as sz
    pipeline = Pipeline(
        cfg=PipelineConfig(save_folder="results",version="v023"),
        model_cfg=sz.METHOD.BASE,
        dataset_cfg=sz.DATASET.BASE
    )

通过指定发行版本，模型会自动加载对应版本网络参数并下载预训练权重。

v010
------------------

``v0.1.0`` 中包含各方法原始论文中的预训练模型和参数。


**地址：** https://github.com/chenkang455/Spike-Zoo/releases/tag/v0.1.0



v023
------------------

``v0.2.3`` 中包含各方法在 ``REDS_BASE`` 数据集上重新训练得到的权重，训练脚本地址 `见此 <https://github.com/chenkang455/Spike-Zoo/tree/main/examples/train_reds_base>`_ 。

**地址：** https://github.com/chenkang455/Spike-Zoo/releases/tag/v0.2.3

.. note::

    当前发行版本中，所有模型的脉冲输入长度设置为 ``41`` 帧。由于 ``SpikeCLIP`` 是专门为 ``UHSR`` 数据集设计的算法，因此并未对其进行重新训练。不过，``base`` 网络架构是从 ``SpikeCLIP`` 中修改而来的。

+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| Method               | PSNR    | SSIM    | LPIPS   | NIQE    | BRISQUE  | PIQE    | Params (M) | FLOPs (G) | Latency (ms) |
+======================+=========+=========+=========+=========+==========+=========+============+===========+==============+
| ``tfi``              | 25.098  | 0.726   | 0.318   | 7.395   | 46.44    | 49.44   | 0.00       | 0.00      | 3.60         |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``tfp``              | 28.169  | 0.770   | 0.261   | 8.058   | 47.26    | 38.13   | 0.00       | 0.00      | 0.03         |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``spikeclip``        | 21.873  | 0.578   | 0.333   | 7.802   | 42.08    | 54.01   | 0.19       | 23.69     | 1.27         |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``ssir``             | 26.544  | 0.718   | 0.325   | 4.769   | 28.45    | 21.59   | 0.38       | 25.92     | 4.52         |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``ssml``             | 33.697  | 0.943   | 0.088   | 4.669   | 32.48    | 37.30   | 2.38       | 386.02    | 244.18       |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``base``             | 36.589  | 0.965   | 0.034   | 4.393   | 26.16    | 38.43   | 0.18       | 18.04     | 0.40         |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``stir``             | 37.914  | 0.973   | 0.027   | 4.236   | 25.10    | 39.18   | 5.08       | 43.31     | 21.07        |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``wgse``             | 39.036  | 0.978   | 0.023   | 4.231   | 25.76    | 44.11   | 3.81       | 415.26    | 73.62        |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``spk2imgnet``       | 39.154  | 0.978   | 0.022   | 4.243   | 25.20    | 43.09   | 3.90       | 1000.50   | 123.38       |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+
| ``bsf``              | 39.576  | 0.979   | 0.019   | 4.139   | 24.93    | 43.03   | 2.47       | 705.23    | 401.50       |
+----------------------+---------+---------+---------+---------+----------+---------+------------+-----------+--------------+