Custom dataset format for segmentation

[alvinwong64]

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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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Question

Hi i would like to ask how to you prepare the data for the segmentation custom dataset training. As in the tutorial, the format given is # class_id center_x center_y bbox_width bbox_height so I have to follow this as well? but i dont have the bbox width and height for my segmentation mask?

I suspect it's my dataset problem as it have 0 loss for all the bbox loss , classloss and etc...

During the checkup, the print out is as follows:
Train: Checking formats of images with 8 process(es):
0 image(s) corrupted: 100%|█████████████████████████████████████████████████████| 39308/39308 [00:43<00:00, 903.96it/s]
Train: Checking formats of labels with 8 process(es):
0 label(s) found, 39308 label(s) missing, 0 label(s) empty, 0 invalid label files: 100%|█| 39308/39308 [00:07<00:00, 51

But i pretty confirmed i arranged the custom dataset exactly like you shown in the tutorial, so i wondering how should i handle the dataset format.

Thanks for the help.

Additional

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