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The full error:
```
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 4]], which is output 0 of ReluBackward…
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@toandaominh1997 Hi, thanks for your Great work. I have tried to convert efficientdet-b0.pth to onnx model, and my code is follow :
```
def to_onnx(checkpoint_name,save_onnx_name='efficientdet.onnx…
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I used efficientdet_test.py
I used d3 model
when Excuting the model, first the GPU memory use up to 7~8GB,
and it is going down to 1.25GB (when the code is on the for inference loop)
I thin…
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I am trying to convert my custom objectdetection model .pb to .onnx model
here is the code snippet
```
import tf2onnx
# Replace with your paths
saved_model_path = '/path/to/saved_model'
onn…
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My own imageSize is 1280 * 10, and it occured when I train my datesets.
![image](https://user-images.githubusercontent.com/40172397/202362062-025fc7a3-592e-45ab-bc44-d9f26c0d8b6b.png)
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Hi everyone
I create an application that recognizes the names of my cats.
I would like to use the model "ssd_resnet50_v1_fpn_1024x1024_coco17_tpu-8" and train it using my data and tensorflow 2.3.0
…
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作者您好,我尝试将您这个代码中bifpn中的加权聚合方法移植到别的目标检测框架中看看能不能有作用,我修改后代码成功跑起来了,但在查看训练好的模型字典时,发现权重w初始化值是【1,1】训练好的模型,w仍然是【1,1】,希望大神能帮我看下我的代码是不是哪出现了问题,从而导致该参数完全不更新。
![image](https://user-images.githubusercontent.com/807…
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@WongKinYiu Hi,
Since CSPDarkNet53 is better than CSPResNeXt50 for Detector, try to train these 4 models:
| Model | GPU | 256x256 | 512x512 | 608x608 |
| :-- | :-: | :-: | :-: | :-: |
| dark…
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Hello
When I run the train.py module, I get this error:
`RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 3…
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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…