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Hi,all.
I am trying to convert a trained EfficientNet-b2 model into tensorrt format.When I use a tensor of shape **(1, 3, 512, 512)** ,it succeed and everything worked well.But when I try a tensor o…
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**Please use this template to submit your problem or your question will _NOT_ be properly tackled.**
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Describe what you want to do, including:
i want to use efficientnet as the backbone of t…
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## 論文リンク
https://arxiv.org/abs/1905.11946
## 公開日（yyyy/mm/dd）
2019/05/28
## 概要
CNN において、resolution, depth, width の 3 つを固定した ratio で uniform にスケールする compound scaling を考案。それぞれ $ r, d, w $ としたときに…
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Please provide download links for EfficientNet B4, B5, B6.
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Dear Dr. Park,
Thank you for your work and for your contribution to research.
From your paper (and the ones you cited) I understand that \phi is an hyperparameter to adjust the number of parameters …
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I have trained custom object detection model with relevant data (~750 annotated image x 3 augmantations)
There are 4 choices for pretrained models. And tested 4 of them with different learning rate …
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The default model input size is 224~600. What adjustments should I make to fit CIFAR-10's 32x32?
```py
def efficientnet_params(model_name):
"""Get efficientnet params based on model name."""
…
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Hi, I am trying to train on a TPU with Kaggle, save the weights, and then predict on a GPU. The problem is that whenever I save my model's weights and try to load them up again I get an error like th…
ghost updated
3 years ago
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`Python 3.8.7`
`efficientnet-pytorch==0.7.1`
There's an issue loading the pre-trained weights (or any saved weights) when using `include_top = False`
```
from efficientnet_pytorch import Effic…
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