.. _support:

支持范围
=======================

运行以下代码，查看Spike-Zoo支持的 **模型**、**数据集** 和 **指标**:

.. code-block:: python

    import spikezoo as sz
    print(sz.METHODS)
    print(sz.DATASETS)
    print(sz.METRICS)


**支持的模型:**

+------------------------+-------------------------------------------------------------------------------------------------+
| Models                 | Source                                                                                          |
+========================+=================================================================================================+
| ``tfp``, ``tfi``       | Spike camera and its coding methods                                                             |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``spk2imgnet``         | Spk2ImgNet: Learning to Reconstruct Dynamic Scene from Continuous Spike Stream                  |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``wgse``               | Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``ssml``               | Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera              |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``ssir``               | Spike Camera Image Reconstruction Using Deep Spiking Neural Networks                            |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``bsf``                | Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations|
+------------------------+-------------------------------------------------------------------------------------------------+
| ``stir``               | Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras      |
+------------------------+-------------------------------------------------------------------------------------------------+
| ``base``, ``spikeclip``| Rethinking High-speed Image Reconstruction Framework with Spike Camera                          |
+------------------------+-------------------------------------------------------------------------------------------------+

**支持的数据集:**

+-------------------+---------------------------------------------------------------------------------------------+
| Datasets          | Source                                                                                      |
+===================+=============================================================================================+
| ``base``          | Spike-Zoo: A Toolbox for Spike-to-Image Reconstruction                                      |
+-------------------+---------------------------------------------------------------------------------------------+
| ``reds_base``     | Spk2ImgNet: Learning to Reconstruct Dynamic Scene from Continuous Spike Stream              |                   
+-------------------+---------------------------------------------------------------------------------------------+
| ``uhsr``          | Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera                  |
+-------------------+---------------------------------------------------------------------------------------------+
| ``realworld``     | ``recVidarReal2019``, ``momVidarReal2021`` in SpikeCV (https://github.com/Zyj061/SpikeCV)   |
+-------------------+---------------------------------------------------------------------------------------------+
| ``szdata``        | SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams        |
+-------------------+---------------------------------------------------------------------------------------------+


**支持的指标:**

Spike-Zoo目前支持的指标范围如下：

.. code-block:: python

    ["psnr", "ssim", "lpips", "mse", "niqe", "brisque", "piqe", "liqe_mix", "clipiqa"]

- ``"psnr", "ssim", "mse"`` 指标计算的代码来源于 ``skimage`` 库。
- ``"lpips"`` 指标计算的代码来源于 ``lpips`` 库。
- ``"niqe", "brisque", "piqe", "liqe_mix", "clipiqa"`` 等非参考指标计算的代码来源于 ``pyiqa`` 库。本仓库通过直接调用 ``pyiqa`` 接口实现非参考指标计算，理论上该仓库支持的指标本仓库均支持。