Comments (3)
Find your corresponding yaml file, and then change its GPUs number to a separate 0.
from hrnet-image-classification.
Remove the GPUS:
from the yaml file that you are using. By default GPU is set to 0.
Refer:
from hrnet-image-classification.
@piyushchauhan @LvShuaiChao Hi, have you done any other operations? I have just simply changed the GPUs but got the error: RuntimeError: Default process group has not been initialized, please make sure to call init_process_group. Do you know how to solve it?
from hrnet-image-classification.
Related Issues (20)
- the loss become nan HOT 1
- Torch.jit.script not working with this model HOT 2
- Redistributing pre-trained model
- about self.class_weights
- guide to use pre-trained model HOT 1
- It doesn't work HOT 3
- A solution: HRNet Backbone Adopt_different_blocks_bug(BASIC//BOTTLENECK) HOT 2
- How to convert the pretrained cls model to the required model for pose estimation
- Could someone help to put the pretrained models in google drive? HOT 1
- new pretrained model "HRNet-W48-C (w/ CosineLR + CutMix + 300epochs)" HOT 6
- which scrips use to caculate the GFLOPs?
- BRANCHES instead of RANCHES
- how to train my own dataset with different categories?
- about--- HRNet-W48-C-ssld (converted from PaddlePaddle) HOT 1
- No module named 'utils.modelsummary'
- How To Perform Inference
- The differences between HRNet-W18-C-Small-v1 and HRNet-W18-C-Small-v2
- How to train with CPU only HOT 1
- How to add tensorboard or using wandb to visual trainning process
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