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I have read the README carefully. 我已经仔细阅读了README上的操作指引。
I want to train my custom dataset, and I have read the tutorials for training your custom data carefully and organize my dataset correctly; (FYI: We recommand you to apply the config files of xx_finetune.py.) 我想训练自定义数据集,我已经仔细阅读了训练自定义数据的教程,以及按照正确的目录结构存放数据集。(FYI: 我们推荐使用xx_finetune.py等配置文件训练自定义数据集。)
I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码,重新运行之后,问题仍不能解决。
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I have searched the YOLOv6 issues and found no similar questions.
This is currently not feasible. It is the direct output of the convolution, and increasing it would affect the model size and inference speed. You can try using resize directly on the output side.
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I have read the README carefully. 我已经仔细阅读了README上的操作指引。
I want to train my custom dataset, and I have read the tutorials for training your custom data carefully and organize my dataset correctly; (FYI: We recommand you to apply the config files of xx_finetune.py.) 我想训练自定义数据集,我已经仔细阅读了训练自定义数据的教程,以及按照正确的目录结构存放数据集。(FYI: 我们推荐使用xx_finetune.py等配置文件训练自定义数据集。)
I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码,重新运行之后,问题仍不能解决。
Search before asking
Question
0.4.1版本的yolov6提供了分割模型,当训练分割模型时设置--img_size为640640时,训练完成后的模型输出mask的尺寸为160160,如果我想要将模型输出的mask尺寸调整为640*640,我应该如何修改以实现这个目的?
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