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D:\Python\GFPGAN>set BASICSR_JIT=True
D:\Python\GFPGAN>python inference_gfpgan.py -i in_ -o out_ -v 1 -s 2 --ext jpg --bg_upsampler realesrgan --bg_tile 800
Traceback (most recent call last):
F…
caokx updated
2 months ago
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error (dimension mismatch) occurs when applying a pipeline that includes coloredNoise deformer and IRConvolution deformer.
where the original audio length is 118882 samples, impulse response le…
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Simple(ish) deformers (many from audio degradation toolbox):
- [ ] Low-, band-, high-pass filter
- [ ] bit-crushing
- [ ] companding+quantization noise
- should wait until https://github.com/li…
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Hi, thank you for your great work. I would like to know the number of parameters and the GFLOPs of Co-Deformable-DETR with a backbone R50. I know that Deformable-DETR with a backbone R50, iterative bo…
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- Name of layer type:
deform_conv2d
- Is this a PyTorch or a TensorFlow layer type:
PyTorch
- Your version of coremltools:
7.0b1
- Your version of PyTorch/TensorFlow:
PyTorch 2.0.1
- I…
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Could you please publish the code for visualizations like in Figure 6 in the paper, if you still have this snippet?
Thank you!
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Hi experts,
`We tried to install the MUSE in our docker. However, there's no result in target dictionary. Can you give me some advice to figure out this problem?`
Best
The output of muse comm…
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# Reference
- 10/2020 [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://arxiv.org/abs/2010.04159)
- [Code](https://github.com/fundamentalvision/Deformable-DETR)
#…
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Thanks for your great work, I was wondering if it is possible to visualize deformable attention because it is not like DETR, so I was curious how to visualize heat maps of deformable attention
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```
Po zbyt wielu deformacjach ścianki mogą przejść przez siebie
```
Original issue reported on code.google.com by `bartosz.unobomber@gmail.com` on 1 Jun 2011 at 7:51