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1. 文本日志 2. 可视化日志
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1. 命令行参数设置 | ||
2. YAML文件读写 | ||
3. 数据集路径解析 | ||
2. 日志 | ||
2. 日志模块 | ||
1. 文本日志 | ||
2. 可视化日志 | ||
3. 数据 | ||
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日志操作可分为`2`个部分: | ||
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* 文本日志 | ||
* 可视化日志 | ||
* [文本日志](./text_log.md) | ||
* [可视化日志](./visualization_log.md) |
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# 可视化日志 | ||
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参考: | ||
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[[PyTorch]Tensorboard可视化实现](https://blog.zhujian.life/posts/eb6f2b71.html) | ||
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[[PyTorch]Tensorboard使用实践](https://blog.zhujian.life/posts/f793688d.html) | ||
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使用`TensorboardX`进行训练过程可视化,记录了训练过程中**损失值**和**学习率**的变化,并且记录每个阶段的**测试结果(AP)** | ||
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新建了一个`MetricLogger`类,用于平滑损失值 | ||
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## 相关文件 | ||
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* `py/ssd/engine/trainer.py` | ||
* `py/ssd/utils/metric_logger.py` |
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