mirror of https://github.com/open-mmlab/mmyolo.git
[Docs] Fix useful_tools.md #274
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@ -251,13 +251,14 @@ Instructions:
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```shell
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python tools/misc/download_dataset.py --dataset-name coco2017
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python tools/misc/download_dataset.py --dataset-name voc2007
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python tools/misc/download_dataset.py --dataset-name voc2012
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python tools/misc/download_dataset.py --dataset-name lvis
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python tools/misc/download_dataset.py --dataset-name balloon [--save-dir ${SAVE_DIR}] [--unzip]
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```
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## Convert Model
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The three scripts under the `tools/` directory can help users convert the keys in the official pre-trained model of YOLO to the format of MMYOLO, and use MMYOLO to fine-tune the model.
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The six scripts under the `tools/model_converters` directory can help users convert the keys in the official pre-trained model of YOLO to the format of MMYOLO, and use MMYOLO to fine-tune the model.
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### YOLOv5
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@ -252,13 +252,14 @@ python tools/dataset_converters/yolo2coco.py /path/to/the/root/dir/of/your_datas
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```shell
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python tools/misc/download_dataset.py --dataset-name coco2017
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python tools/misc/download_dataset.py --dataset-name voc2007
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python tools/misc/download_dataset.py --dataset-name voc2012
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python tools/misc/download_dataset.py --dataset-name lvis
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python tools/misc/download_dataset.py --dataset-name balloon [--save-dir ${SAVE_DIR}] [--unzip]
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```
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## 模型转换
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文件夹 `tools/analysis_tools/` 下的三个脚本能够帮助用户将对应YOLO官方的预训练模型中的键转换成 `MMYOLO` 格式,并使用 `MMYOLO` 对模型进行微调。
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文件夹 `tools/model_converters/` 下的六个脚本能够帮助用户将对应YOLO官方的预训练模型中的键转换成 `MMYOLO` 格式,并使用 `MMYOLO` 对模型进行微调。
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### YOLOv5
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