add tutorials/configuration.md #141
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yuedongli1
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tutorials/configuration_CN.md
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| - is_parallel: 是否分布式训练，默认为False | ||
| - ms_mode: 使用静态图模式(0)或动态图模式(1)，默认为0。 | ||
| - config: yaml配置文件路径 | ||
| - per_batch_size: 单卡batch size，默认为32 |
tutorials/configuration_CN.md
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| - ...... | ||
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| ### yaml文件样例 | ||
| 该部分参数在[configs/yolov3/hyp.scratch.yaml](../configs/yolov3/hyp.scratch.yaml)中定义，其中train_transformers和test_transformers均为由字典组成的列表，各字典内部为各数据增强的相关参数 |
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各字典内部为各数据增强的相关参数
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字典包含，数据增强操作名称、发生概率及该增强方法相关的参数
tutorials/configuration_CN.md
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| ## 参数继承关系 | ||
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| 参数优先级由高到低如下，出现同名参数时，低优先级参数会被高优先级参数覆盖 | ||
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| - 用户命令行传入参数 | ||
| - python执行py文件中parser的默认参数 | ||
| - 命令行传入config参数对应的yaml文件参数 | ||
| - 命令行传入config参数对应的yaml文件中__BASE__参数中包含的yaml文件参数，例如yolov3.yaml含有如下参数： | ||
| ```yaml | ||
| __BASE__: [ | ||
| '../coco.yaml', | ||
| './hyp.scratch.yaml', | ||
| ] | ||
| ``` |
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| - backbone: 模型骨干网络 | ||
| - head: 模型检测头 |
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- ...
- 注意：yolov3会根据backbon和head参数进行网络构建，参数以列表形式呈现，包含4个参数，分别是 输入层编号(-1代表上一层)、层数、模块名称和模块相应参数；用户也可以不通过backbone和head提前定义和注册相应网络；
tutorials/configuration_CN.md
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| - num_parallel_workers: 读取数据的工作进程数 | ||
| - train_transformers: 训练过程数据增强 | ||
| - test_transformers: 验证过程数据增强 | ||
| - ...... |
CaitinZhao
approved these changes
Jun 15, 2023
zhanghuiyao
approved these changes
Jun 15, 2023
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