Luojianlong

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i have the same problem when training the 1% and 2% labeling ratios.Have you solved this problem or we can intercourse for this.

the program can not find out the 10% labeling ratio in fold 1.you need to create the dataset by /tools/dataset/prepare_coco_data.sh.

Have you run into the problem for valueError in training which make me annoyed?

前5000次是预热,只进行全监督训练,5000次后才进行半监督

1.Change the data image path in configs. 2.Change rcnn head num_classes. 3.Change coco.py CLASSES

应该是显存不够吧,模型快20g,还有数据也会占很多

![1](https://user-images.githubusercontent.com/54701635/203685073-d9f25aa5-92d8-480e-b0cb-e24744f82e77.PNG) 图片路径是没有问题的,num_worker是指workers_per_gpu的值吗,如果是我就没有设错。但问题是只要运行就会报[ERROR][ModelInfer] Found no image in /home/hello/PycharmProjects/pythonProject/new_DSL/DSL/mydata/semicoco/images/full,我昨天也遇到这个问题了,然后重新再配了一遍代码就没事了,但报错后再运行就会报这个错,所以现在有点困惑。

我把train,unlabel_train/pred,val的图片路径都在.sh设好了,就是有点不清楚这个报错是哪个部分出来的