pytorch-image-models
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huggingface
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
File "Trainer.py", line 233, in main lr_scheduler.step(start_epoch) File "/multimedia-nfs/wuye/libs/miniconda3/envs/py38/lib/python3.8/site-packages/timm/scheduler/plateau_lr.py", line 83, in step self.lr_scheduler.step(metric, epoch) # step the base scheduler File "/multimedia-nfs/wuye/libs/miniconda3/envs/py38/lib/python3.8/site-packages/torch/optim/lr_scheduler.py", line 624, in step current = float(metrics) TypeError:...
Follow up on discussion https://github.com/rwightman/pytorch-image-models/discussions/845#discussion-3555497
Goal is to adapt timm training and validation scripts to work well with PyTorch XLA on TPU/TPU Pods (maybe CPU/GPU), and PyTorch on GPU. As part of this I will...
**Is your feature request related to a problem? Please describe.** So far you have integration for AutoAugment and RandAugment in the repo as well as some settings that seem to...
Hi. We successfully introduced the ghostnet backbone from timm. When we set feature_only as true, the structures after block 7 are ignored. The backbone works well but we are wondering...
Hi, i've read from the [official repo](https://github.com/facebookresearch/xcit#getting-started) that the minimum pytorch version supported is 1.7.0, but in your porting `torch.div` with keyword argument `rounding_mode='floor'` is used, which is available from...
Do you will try to reproduce `Progressive Learning` in EfficientNetv2 ?
Hi rwightman, we update the twins.py to support the segmentation task. New code will be able to support the backbone part of the segmentation task. By the way, thank you...
Hello Ross! Thanks for sharing your code and releasing all the model weights. It would be nice if you could add the `args.yaml` to the repo whenever you release new...
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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...