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我在windows上安装的环境, 执行python main.py --task segmentation --gpus 0 --setname FIVES --num_repeat 3 --num_workers 2 --epochs 100 --save_point None --batch_size 4 --lr 1e-6 --warmup_init_lr 5e-5 --max_lr 5e-4 --model_name resnet50 --sup_method common --optim adamw --weight_decay 0.03 --seg_head_name deeplabv3 --seg_feature_guide 2 --fg_start_stage 1 --pretrained 2 --freeze_weight 3 --weight_name resnet50-11ad3fa6.pth这个命令之后报错,用的是fives数据集。 Traceback (most recent call last): File "D:\my_code\SvANet-main\main.py", line 179, in opt = paramsInit(opt) File "D:\my_code\SvANet-main\lib\params_init\paramsInit.py", line 118, in paramsInit opt.pretrained_weight = [WeightPath for WeightPath in WeightPool IndexError: list index out of range 这是什么原因?还需要下载其他的文件吗?
The text was updated successfully, but these errors were encountered:
Prior to commencing the training, ensure that you have downloaded the pretrained model from torchvision. Please also check with #2.
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我在windows上安装的环境,
执行python main.py --task segmentation --gpus 0 --setname FIVES --num_repeat 3 --num_workers 2 --epochs 100 --save_point None --batch_size 4 --lr 1e-6 --warmup_init_lr 5e-5 --max_lr 5e-4 --model_name resnet50 --sup_method common --optim adamw --weight_decay 0.03 --seg_head_name deeplabv3 --seg_feature_guide 2 --fg_start_stage 1 --pretrained 2 --freeze_weight 3 --weight_name resnet50-11ad3fa6.pth这个命令之后报错,用的是fives数据集。
Traceback (most recent call last):
File "D:\my_code\SvANet-main\main.py", line 179, in
opt = paramsInit(opt)
File "D:\my_code\SvANet-main\lib\params_init\paramsInit.py", line 118, in paramsInit
opt.pretrained_weight = [WeightPath for WeightPath in WeightPool
IndexError: list index out of range
这是什么原因?还需要下载其他的文件吗?
The text was updated successfully, but these errors were encountered: