Comments (3)
Hi,
Thank you so much for your question. Just like the inference part, utilizing the --resume to load the saved model at the beginning.
Best,
from mambacd.
thanks for your replay! but i found --resume param just load the previous trained model, the training progress bar starts from zero , not start with the progress of the previous training
from mambacd.
Hi,
The progress bar just visually shows the training progress. It's perfectly possible for yourself to set a new parameter start_iter if you want to. Yet in any case, the weights of your previously trained model are already loaded and can continue to be trained.
Best,
from mambacd.
Related Issues (20)
- something about "infer_MambaBCD.py" HOT 2
- MambaSCD eval is NAN HOT 3
- FileNotFoundError: No such file: '/media/hhy/Ventoy/xbd/train/images/hurricane-florence_00000263_pre_disaster_pre_disaster.png.png' HOT 2
- MambaBDA-Tiny on the [xBD] HOT 9
- Regarding the handling of semantic labels in semantic change detection tasks. HOT 2
- make_data_loader.py HOT 4
- 在SECOND数据集上训练MambaSCD出现的问题 HOT 3
- BCD加载预预训练权重与当前模型不匹配 HOT 2
- 在SYSU数据集上测验mambaBCD-精度不够 HOT 17
- loss=nan HOT 6
- MambaSCD训练时出现错误grad can be implicitly created only for scalar outputs HOT 5
- MambaBDA训练时候报错:IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1) HOT 4
- 语义变化检测second的权重能否提供一下?或者提供一下数据处理脚本,谢谢! HOT 3
- SiameseKPConv 和MambaCD对比 HOT 3
- SCD pretrained weights HOT 2
- something about "infer_Mamba.SCD.py" HOT 2
- batchsize和iters以及epoch问题 HOT 5
- cpu inference HOT 1
- validation dataset cropsize HOT 1
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