Comments (5)
Hi @nanshanvv have you solved this issue? Could you please share your solution? Thanks!
Hi, I solved this problem by buying cloud servers online to get more computing power.
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- if 3D, decrease -chunk, -num_sample, and some other parameters I mentioned in README
- parameter pruning to fp32 or fp16. I have not implemented it, so you need to implement yourself. Luckily, there are many relevant sources on GitHub. I may update it in the future
- change a bigger GPU, 6GB memory is not enough for most DL projects now
from medical-sam-adapter.
Thank you for your reply
from medical-sam-adapter.
Hi @nanshanvv have you solved this issue? Could you please share your solution? Thanks!
from medical-sam-adapter.
Hi,Could you share what the configuration of GPU used is?
from medical-sam-adapter.
Related Issues (20)
- Discord link not valid HOT 2
- multiple classification tasks HOT 3
- export onnx HOT 1
- 请问这个将来计划提供类似SAM提供的APP使用Demo程序吗 HOT 3
- How to use multi GPU to train the model? HOT 1
- BraTs dataloaders HOT 1
- Use both 2D and 3D data simultaneously HOT 2
- Questions of reproducing BTCV
- Clarity on brain tumor results
- IndexError: single positional indexer is out-of-bounds
- Adapting on custom dataset
- ISIC2016 segmentation
- Name collision with YOLO HOT 1
- Training dataset in the Table I and Table II
- Minor bug in adapter_block.py HOT 1
- Freeze training
- eval_seg() doesn't work properly in c>2 cases
- Environmental issues
- where is the implementation of HyP-Adpt, I can't find the implementation codes of this part HOT 1
- train.py issues
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