-
๐ Hi, Iโm @mykcs
-
๐ Iโm interested in ...
colabไฝฟ็จ ๆๅกๅจไฝฟ็จ
gradio ไฝฟ็จhugging faceๆ็ฎก
่ฎก็ฎๆบๅพๅฝขๅญฆ
- ๐ฑ Iโm currently learning ...
cv ๅพๅๅๅฒ Mamba
kaggle
- ๐ซ How to reach me ...
License: Apache License 2.0
๐ Hi, Iโm @mykcs
๐ Iโm interested in ...
colabไฝฟ็จ ๆๅกๅจไฝฟ็จ
gradio ไฝฟ็จhugging faceๆ็ฎก
่ฎก็ฎๆบๅพๅฝขๅญฆ
cv ๅพๅๅๅฒ Mamba
kaggle
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
log
/Users/myk/anaconda3/envs/env-MedSAM-0422/bin/python /Users/myk/PyPjcts/MedSAM_lite-0424/train_mps-1.py
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
wandb: Currently logged in as: mykcs (team-mykcs). Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.16.6
wandb: Run data is saved locally in /Users/myk/PyPjcts/MedSAM_lite-0424/wandb/run-20240424_023431-1m08ghs8
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run run-0424-2
wandb: โญ๏ธ View project at https://wandb.ai/team-mykcs/MedSAM-lite
wandb: ๐ View run at https://wandb.ai/team-mykcs/MedSAM-lite/runs/1m08ghs8
0%| | 0/906 [00:00<?, ?it/s]Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Finetuning with pretrained weights lite_medsam.pth
MedSAM Lite size: 9791300
Epoch 1 at 2024-04-24 02:47:22, loss: 0.0689: 100%|โโโโโโโโโโ| 906/906 [13:27<00:00, 1.12it/s]
Traceback (most recent call last):
File "/Users/myk/PyPjcts/MedSAM_lite-0424/train_mps-1.py", line 535, in <module>
main()
File "/Users/myk/PyPjcts/MedSAM_lite-0424/train_mps-1.py", line 515, in main
"best_loss": best_loss,
UnboundLocalError: local variable 'best_loss' referenced before assignment
wandb:
wandb: Run history:
wandb: ce_loss_weight โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
wandb: epoch_loss[step] โโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโ
โ
wandb: iou_gt โ
wandb: iou_loss_weight โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
wandb: l_ce โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
wandb: l_iou โโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
wandb: l_seg โโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโ
โโโโโโ
โ
wandb: loss โโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโ
โ
wandb: loss.item() โโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโ
โ
wandb: mask_loss โโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโ
โ
wandb: seg_loss_weight โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
wandb:
wandb: Run summary:
wandb: ce_loss_weight 1.0
wandb: epoch_loss[step] 0.0689
wandb: iou_gt 0.84615
wandb: iou_loss_weight 1.0
wandb: l_ce 0.00062
wandb: l_iou 0.00346
wandb: l_seg 0.06482
wandb: loss 0.0689
wandb: loss.item() 0.0689
wandb: mask_loss 0.06544
wandb: seg_loss_weight 1.0
wandb:
wandb: ๐ View run run-0424-2 at: https://wandb.ai/team-mykcs/MedSAM-lite/runs/1m08ghs8
wandb: โญ๏ธ View project at: https://wandb.ai/team-mykcs/MedSAM-lite
wandb: Synced 6 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240424_023431-1m08ghs8/logs
่ฟ็จๅทฒ็ปๆ๏ผ้ๅบไปฃ็ ไธบ 1
ๅ ่ฝฌๆขๆnotebook #6
train_mps-4.py
start_epoch = 0๏ผnum_epochs = 10
้ช่ฏไบไธๆฏ่ฟ้ๅบ็ฐ็้ฎ้ข
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