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It seems a nice work. I wanted to test it on custom input videos. It would be very helpful if you can provide a script for generating video captions for a raw input video.
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Error while using LabelSmoothing form transformer_utils for label smoothing
- OS:macOS 13.5
- PyTorch version:2.0.1
- Python version: 3.9.17
cc @kulinseth @albanD @malfet @DenisVieriu97 @razarmehr
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Hi author,
Thanks for your excellent project.
How do I reproduce the SR-STE result in your project? Could you share the code with me? Thanks a lot.
As far as I know, SR-STE trained without LabelS…
hopef updated
9 months ago
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如果用label smoothing,损失实际上是用KL散度计算的,这也是一种交叉熵吗?
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PaddleClas 2.4
paddle 2.3.2
ppcls/losss/celoss.py 中 loss 在无label smooth时计算是不是有错, F.softmax后加了一个F.cross_entropy,默认情况下,F.cross_entropy中就有一个use_softmax=True ,用pytorch和tensorflow做了同样的试验,应该可以确认,是错了。你们确…
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**Describe the bug**
I am not sure if this is a bug. Please tell me if I am wrong.
In deepcase/context_builder/loss.py, you have the following code:
`true_dist.fill_(self.smoothing / (self.size -…
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Thank you very much for the excellent program you have created.
I have trained 5 epochs in exactly the same way, but all the bots return "Good morning".
It seems to be a simple mistake, but I wo…
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The original darknet learning rate (LR) scheduler parameters are set in a model's *.cfg file:
- `learning_rate`: initial LR
- `burn_in`: number of batches to ramp LR from 0 to `learning_rate` in epo…