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Sorry, I found a problem, that was, when I used the pretrained model 'efficientNet-B0' to fine-tune on my own dataset by gpu device, I found the speed of training was slow, thus, is there something …
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Please help me.
Model not found after start of training
This problem occurs when I specify GPU。
Setting the GPU configuration to none will not cause this problem, but will the training use GPU?…
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```
PS C:\Users\akimio\Documents\Work\Kaggle-Steel-Defect-Detection> pip install git+https://github.com/qubvel/segmentation_models.pytorch
Collecting git+https://github.com/qubvel/segmentation_model…
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Code and pretrained up to B3
https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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### Problem you have encountered:
Testing my EfficientNet impl on TPU w/ bfloat16 the training collapsed 2/3 of the way through my training schedule. The models were training reasonably on FP32 GPU…
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So Timms models is a large collection of pre-trained networks (https://github.com/rwightman/timm#models) that can be used for transfer learning.
I have setup this up for Fast AI (Pytorch) transfer…
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Hi, I just installed your package via `Type 2: Copy segmentation_models_pytorch_3d folder from this repository in your project folder. `.
I discovered that certain files, particularly those in the …
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First, thank you very much for providing this beautiful code for us!
It's all right when I use the pretrained model from your repositories. But when I try to train a efficientDet-d2 from scratch, I…
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### Describe the bug
`RandomJPEG` throws an error when the input tensor is not on the CPU. To somehow handle this issue need to manually pass a tensor with the right device to the `jpeg_quality` pa…