[DOC] Add custom dataset guide #306
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| max_epochs = 200 # 训练的最大 epoch | ||
| data_root = '/path/to/data_root' # 数据集目录的绝对路径 | ||
| work_dir = './work_dirs/yolov5_s-v61_syncbn_fast_1xb8-200e_cat' # 结果保存的路径 |
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用户会对同一个 config 进行调试，这里我暴露出来是为了让用户知道这个可以自己指定
| 因为是我们自定义的数据集，所以我们需要自己重写 config 中的部分信息，我们在 configs 目录下新建一个子集的 config 文件，这个 config 继承的是 `yolov5_s-v61_syncbn_8xb16-300e_coco.py`，数据集中的类是猫，`bs=8`，`200epoch`，可以命令为 `yolov5_s-v61_syncbn_fast_1xb8-200e_cat.py`，添加以下内容： | ||
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| ```python | ||
| _base_ = './yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py' |
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这个配置优有点长，建议能继承的就不要重写了，否则内容太长。 我还有一个提议：咱们开一个 project/misc，这个文件夹后面专门放一些杂项，例如本文的配置就非常合适。后面一些乱七八糟的配置脚本都可以放这个文件夹下。一些正样本可视化分析代码也可以放里面。确保 readme 写清楚就行
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这个 config 内容已经是最精简了 😢
RangeKing
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Motivation
Add custom dataset guide
Modification
docs/zh_cn/user_guides/custom_dataset.md